10 Reasons Why Corporate Training is Important in Today’s Era

by | Nov 2, 2024 | Corporate Training

Any industry or job needs knowledge to advance and maintain performance. For businesses to invest in their staff, corporate training and development are crucial. Organizations that recognize the importance of employee training and develop effective training programs will be better able to address both current and future challenges. Here, we will discuss the advantages of providing staff with this training as well as the financial benefits that come from doing so. Welcome to this article on “10 reasons why corporate training is important.”  This article will go through the value of corporate training, how to get the most out of it, and how to choose the right courses. It advises on how to find a reliable corporate training program and quicken job growth.

Why Corporate Training is Important

To help employees become better at their jobs, employers provide corporate training. Through training, employees have the opportunity to expand their knowledge bases, gain new skills, and more successfully enhance production.

Corporate education is typically referred to as corporate training in most firms. Corporate training is designed to make sure a worker has the know-how and abilities to handle a specific service for a company to remain operational.

Corporate education seems to be frequently used by businesses as a perk to keep managers and other important employees on staff. The best-educated directors and staff are produced for the company under this successful setup, and certain personnel receive a more commercially oriented skill set and, frequently, recognized credentials.

Explanation of Corporate Training:

Corporate training is provided by employers to enhance employee job skills, boost productivity, and meet corporate requirements. It can take various forms, such as seminars, on-the-job coaching, online tutorials, or classroom lectures. Training improves employee comprehension, flexibility, and ability to anticipate client needs and technical developments.

Corporate training provides employees with the industry-specific skills they need for job performance and to satisfy corporate standards, such as safety, technical, managerial, and other programs essential to the operational needs of each organization.

Every training session helps to increase an employee’s understanding, adaptability, and capacity to anticipate customer requirements and technological advancements.

Programs could be utilized to train staff members how to use new software and technology and help them build new skills that could improve their company’s ability to compete on pricing in its industry.

Corporate training is crucial for upholding standards, being competitive, and fostering better communication, morale, and cohesiveness within organizations. Rewards like discounts and certificates of course completion can increase staff involvement. Employers should contribute to programs that help employees reach their full potential.

The main aim of corporate training is to promote the professional and personal growth of your staff is what the corporate training program aims to do. It can be done in a group or one-on-one environment and is typically overseen by a subject-matter expert. The following are some illustrations of corporate training:

  • Soft skills training
  • Compliance Training
  • Technical skills training
  • Orientation and Onboarding.

Types

There are many types of corporate training provided falling into four different types:

On-The-Job

On-the-job training is the most popular technique for delivering instruction. An individual who is a new hire or transitioning into a new role will typically receive training on a particular topic or tool from a manager, team leader, or experienced team member. Since no outside help is required and everything is handled by current employees, it is thought to be a cost-effective technique of training. On-the-job training has drawbacks, including the potential for poor progress because the trainee must take time away from their regular duties. The trainer’s level of assurance and their capacity to provide engaging instruction that is constant throughout have an impact on the effectiveness of this delivery technique.

Coaching and Mentoring:

The goal of these corporate training techniques, coaching and mentoring, is to improve employees’ capacity for problem-solving and judgment. Building relationships among staff members, which opens up mentorship opportunities, is a strong suit of on-the-job training. However, mentoring is more successful at bringing people together, creating trust-based relationships, and providing chances for professional advancement. In-depth on-the-job training takes less time than mentoring. Considering that a mentoring program may last for several weeks or months, the mentor must take additional time off from their obligations at work. Organizations that use mentoring to deliver training, however, experience a considerable improvement in employee retention.

E-learning or Online Training

one of the newest and fastest expanding methods for delivering instruction. E-learning, or online learning, is the process of providing training through the use of online courses, MOOCs, tests, quizzes, webinars, articles, and videos. Online training is excellent for remote teams who need flexibility in their training operations because the platforms are accessible from any location at any time. Organizations claim that e-learning is more time and cost effective than traditional training courses and has higher levels of participation. The biggest challenge with online training is retention. Organizations must uncover or develop attractive programs that incorporate gamification with other technologies to overcome low retention rates.

Tutor-Led Classroom Instruction:

Many learners are accustomed to the traditional kind of instruction known as tutor-led classroom instruction. Training sessions occur in an environment that physically mimics a classroom, with an expert presenting content to a group. Because instructor-led training is more structured, it is simpler to investigate difficult themes or topics and provides chances for questions, conversations, and the discovery of new resources. Despite being the most expensive and requiring employees to leave their jobs, instructor-led training is still used in some firms. Because it requires a bigger time commitment, scaling this kind of training when a firm has hundreds of employees is much more difficult.

Why is Employee Training Needed?

The ideal opportunity to broaden the body of knowledge within your firm is provided through employee training and development initiatives. Most importantly, positive learning experiences result in a more contented and effective staff. To succeed in a competitive workforce, employee training is crucial. No matter the industry, filling any knowledge gaps at work is essential to preserving employee productivity and satisfaction. This can be done with a top-notch employee training program.

Programs for employee learning and development increase organizational knowledge, which results in a more contented and effective workforce. For competitiveness and employee happiness, it is critical to close professional knowledge gaps.

To increase productivity, excitement, and work quality, organizations must invest in employee training. Trained personnel are more likely to commit to their jobs over the long term, which improves organizational performance overall.

What is the Outlook for Corporate Training?

Future developments and changes in corporate training are inevitable. The emphasis of corporate training is shifting toward developing a personalized and engaging learning experience that is in line with the demands of employees as firms continue to adopt new technology and learning methodologies.

Businesses can use microlearning, gamification, virtual and augmented reality, and mobile learning to create an immersive, entertaining, and engaging learning environment. Personalization is crucial to ensuring that training programs are matched to the needs of each individual, which will raise engagement, increase retention, and raise performance.

Corporate training is looking forward to new chances to improve employee skill sets, productivity, and work satisfaction. Businesses that prioritize using current training techniques will be better equipped to attract and keep top talent, increase employee morale and engagement, and ultimately lead their businesses to success.

Corporate training is evolving to meet the demands of the modern workplace, and businesses must adapt to stay competitive and relevant over the long term.

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What Role Does Corporate Training Play in Encouraging Employee Development?

Employee development is essential for encouraging advancement and self-improvement inside a company. Employers that prioritize employee training are more likely to retain top talent, increase team efficiency, and experience business growth, as employees value learning opportunities and career growth. In today’s fast-paced world, job seekers can easily find new opportunities. 46% of global staff would leave their current job without training and development opportunities. Harvard Business Review found regular development increases employee retention. Employers who don’t invest in employee development programs run the risk of incurring more expenditures later on because of reduced productivity and unmotivated staff.

Businesses must invest in training and development if they want to improve team knowledge and skill sets, increase overall performance, and retain their top employees. Innovation is crucial for being current as well as for making sure staff employees are informed of the most recent developments in technology and market trends.

10 Reasons Why Corporate Training is Important to Employees:

Here are a few benefits that show how important corporate training is for worker development.

Why Corporate Training is Important? Reason #1. It Increases Productivity: 

Productivity might rise as a result of corporate training programs that keep employees up to date on industry advancements. Profitability depends on productivity. And one of the simplest ways for companies to improve performance is to train their employees. Learning how to use new technology or tools, such as artificial intelligence or scheduling apps, can drastically minimize the amount of time spent on laborious tasks. Training personnel in soft skills like time management and delegating has the added benefit of streamlining processes and reducing time wasted. The information and skills that individuals need to perform their jobs as efficiently as possible are provided via successful staff development, which promotes production and improves job satisfaction. 

Why Corporate Training is Important? Reason # 2. It Lessens Employee Churn: 

Employee training is a good approach to cut down on turnover since, despite the high expense of replacement, 94% of workers believe it will help them stay with the company longer.

It can be expensive and disruptive to have a lot of staff turnover. Replacing an employee often costs between one-third and twice their yearly salary, depending on the scope and complexity of the employment. It could take weeks or perhaps months to finish. A quick and efficient strategy to lower turnover is to teach your employees. 

Why Corporate Training is Important? Reason # 3. It Increases Employee Engagement: 

Businesses with highly engaged employees are 23% more profitable, highlighting the significance of employee engagement for company success. Employee engagement is increased by learning new skills and ideas, and it is 3.5 times more likely among workers who believe they have room for development. Improving interactions between coworkers can also increase engagement levels.

You may boost learning and engagement in difficult subjects by integrating gamification elements like AR, VR, and animation into online corporate training. This will raise employee involvement and engagement.

Why Corporate Training is Important? Reason # 4. It Makes Higher Retention Rates: 

Employees who take part in training and development programs gain knowledge that will increase the effectiveness of their work. Employers can assess the skill gaps within each department to identify which departments require additional hard or soft skills. Corporate training encourages skill development and knowledge gain, which increases employee retention rates. It aids in identifying skill gaps across departments, preparing people for leadership positions or later organizational promotion, and career advancement.

Why Corporate Training is Important? Reason # 5. It Improves Professionalism:

Corporate training can help employees gain new skills and hone their already acquired ones to enhance professional standards and boost confidence.

Why Corporate Training is Important? Reason # 6. It Improves Problem-solving Skills:

Training can help staff members identify and analyze problems more precisely, which leads to more effective solutions and, in turn, produces a more efficient workplace environment.

Why Corporate Training is Important? Reason # 7. It Develops a Competitive Advantage:

Companies must invest in personnel development if they are to meet changing client and industry needs. Companies that maintain their knowledge and expertise are better able to quickly change directions and offer new goods or services.

When team members are informed about the most recent advancements in business knowledge and technology, teams are prepared to pivot. Businesses must adapt to suit changing customer demands and a dynamic environment. Additionally, businesses that don’t encourage professional growth among their staff are likely to lag behind their rivals that do.

Why Corporate Training is Important? Reason # 8. It Boosts the Sense of Security Among Employees:

In a world that is changing quickly, workers are becoming increasingly—and rightfully—concerned about the viability of their talents. Almost half of workers think that their inability to acquire new skills will cause them to lose their jobs within the next five years. These employees can improve upon their current abilities or transition into a whole new function with the assistance of training opportunities supplied by their employers, benefiting both the company and the individual worker. Employees are also far more likely to be content and intend to stay for the long run if they feel like they have a future at the company.

Why Corporate Training is Important? Reason # 9. It Increases in Income or Employees:

Practically every benefit of business training is related to improving productivity. However, corporate training also has financial advantages for organizations. While all the advantages urge us to step up our employee training initiatives. However, it is also important that we place equal focus on determining how effective staff training was.

Why Corporate Training is Important? Reason # 10. It Minimizes Layoffs:

Business priorities can change rapidly, leading to layoffs when employees’ skills don’t align with the employer’s needs. This can negatively impact morale and lead to severance payments and rehiring. To avoid layoffs, companies can upskill and reskill employees for new roles, as research shows.

Employers can move existing talent rather than hire new personnel by upskilling and reskilling current workers for new or expanded positions that fit company requirements. Companies that invested in employee training before COVID-19 were much less likely to fire employees during the pandemic.

More than half of employees will need reskilling by 2025. Implementation is challenging due to limited access to tuition reimbursement programs and unaligned training programs. Despite these challenges, investing in employee training can boost morale and company output, outweighing the challenges.

By 2025, almost half of all workers will need major retraining and upskilling. The adoption of employee training, though widely acknowledged by businesses, continues to be difficult.

Despite these difficulties, creating a successful training program is easier than providing staff with the necessary instruction. Organizations that invest in their staff may see a variety of benefits, from boosting employee morale to expanding the company’s productivity.

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Why is Corporate Training Being Used by Different Companies?

Corporate training educates staff members on how to do their jobs well using a range of educational initiatives and exercises. Employee success equates to business success, which in turn reflects positively on your staff. 94% of employees, according to a LinkedIn survey, believed that training was essential to their professional development and that they would stick with a company that made an effort to accommodate their learning needs. However, when looking for corporate training for your staff, you want to get the most out of your investment. Comparing business Training Companies might be challenging because there are many options available. There are many important elements to take into account, including the quality of the curriculum, the program’s format (online, in-person, etc.), and the corporate training companies’ reputation. High-quality instructors and course materials will make training more effective. It is important to take the program’s structure into account because it will influence how difficult it will be to accomplish the requisite hours. You may easily complete training courses at your speed and on your schedule using online training programs. It is important to know the histories of corporate training programs because they show how extensively they have been researched and how they engage with clients.

To determine who needs training, why it’s necessary, what kind of training is required, what the success criteria are, and when it should be performed, companies must undertake a training needs assessment. This assists in matching training requirements to available resources and determining whether internal or external training is required. The outcomes list the abilities needed to achieve corporate objectives.

By coordinating employee development requirements with organizational training objectives through incentives, training advantages are made transparent and understood. By emphasizing roles, professional progression paths, and promotion chances, they raise employee buy-in, engagement, and potential program success.

What Are the Different Goals of Corporate Training?

Corporate training aims to achieve multiple big-picture objectives, which may vary depending on the organization and its employees.

Enhancing workplace culture-

Corporate training aids in instilling a workplace culture, promoting core values and specific expectations for employees, such as a code of conduct, to achieve business goals.

Talent Retention –

Investing in employees through corporate training demonstrates the company cares about its staff members and their professional development. The ability to retain brilliant people is made possible by this, along with chances for professional advancement and internal mobility.

Raising the Capacity of the Workforce:

Organizations can enhance workforce capability by developing employee knowledge and expertise, reducing skill gaps, improving operations, increasing productivity, and preparing for new growth channels.

Make a Clear and Concise Roadmap:

Create a clear roadmap for employees by visualizing their goals and implementing strategies, such as interactive charts or verbal communication, to ensure they have the best opportunity to achieve them.

Improve Organizational Performance –

Staff who are trained to do their jobs more effectively are more productive. Corporate training is an expensive endeavour, but when done well, firms receive a return on their investment in the form of improved performance as a result of more productive employees.

Evaluation of the Program’s Success and Improvement:

The employee development program should be regularly evaluated and refined to ensure its success. Regular meetings with employees can help identify obstacles and suggest improvements to make training more effective and manage time better. Regular employee meetings help managers understand employee engagement, performance changes, and skill development progress. Feedback from one-to-one meetings, team meetings, polls, and surveys identifies ineffective training methods.

Upon short-term training plans, organizations assess the impact of employee development on goals, ensuring progress towards objectives, effective application of training, and evaluating success on individual and organizational levels for better understanding and potential restructuring.

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Frequently Asked Questions Regarding 10 Reasons Why Corporate Training is Important?

Q1. Do you need to give senior employees training and set goals for them?

Yes! Even if they have been in their positions for a while, senior staff will certainly need training and development to stay current with any changes. About two-thirds of workers believe that job training should continue throughout one’s career, regardless of position.

Q2. What exactly does corporate training entail?

Corporate training covers the development of leadership and management, sales and customer service, finance and accounting, marketing, project management, professional communication and presentation skills, and strategic career planning, including team building, collaboration, and innovative problem-solving technologies.

Q3. What is a corporate training manager’s job description?

A corporate training manager designs, leads, and implements training programs to enhance employees’ knowledge, abilities, and capacities, identifying and addressing skill gaps through effective solutions.

Conclusion Related to 10 Reasons Why Corporate Training is Important?

Now, that comes to an end in this article “10 reasons why corporate training is important”. Employees can be trained through corporate training using a variety of training methods. It functions as a motivator for employee achievement, which reflects favourably on your company or business. Organizations can increase employee productivity and efficiency through corporate training. I hope that this article assists you with all the knowledge you need to understand the various benefits of corporate training.

You have many options to develop the hard and soft skills that can advance your career because the majority of employers provide some kind of corporate training. We’ve discussed how corporate training may advance your career and given you a ton of advice on how to get the most out of it. You’re now prepared to move forward, develop your talents, and take advantage of the new chances created by corporate training.

IIM SKILLS vs Goa Institute of Management Data Analytics Course Review

by | Nov 2, 2024 | Data Analytics, Institute Review

Data Analytics, you’ve probably heard this term quite frequently. If you’re a 21st-century resident, then you must be knowing this term very commonly given that it is largely very popular. If you want to start a career in data analytics then this is the perfect book to read. This blog, IIM SKILLS vs Goa Institute of Management Data Analytics Course,will help you understand data analytics from scratch and is your go-to source for all the information you need to understand. You rookies who adore playing with data have arrived at the learning curve for a successful career. We will evaluate both of these institutes’ data analytics programs side by side so you may determine which one is ideally suited for you.

IIM Skills vs Goa Institute of Management Data Analytics Course Review

Let’s first get a fundamental understanding of data analytics before delving deeply into the comparison study.

What are Data Analytics?

Data analytics turns raw data into useful insights. It comprises a variety of methods, technologies, and tools for leveraging data to identify patterns and find solutions to issues. Data analytics can affect how businesses operate, improve decision-making, and encourage corporate growth.

Data analytics are essential because they help firms perform more effectively. Businesses can save costs by finding more efficient ways to run their operations and by storing a lot of data and using it in their business plan. Businesses track customer preferences using data analytics to enhance selections, create better products, and improve services.

Whether people are conscious of it or not, they use data on a daily basis, therefore it is present everywhere. Weighing coffee beans for your morning brew, checking the weather to decide what to wear, or keeping track of your steps with a fitness tracker are all examples of commonplace actions that involve analyzing and interpreting data.

The primary objective of data analytics is to address particular challenges or problems that are applicable to a firm in order to enhance business outcomes.

Making data-informed strategic decisions is essential in today’s business and labor environments. Any organization, whether it wants to improve customer understanding, streamline processes, or open up new business opportunities, may greatly benefit from knowing how to use data successfully.

Main Conclusions:

  • Data analytics is the science of looking at raw data to make assumptions about it.
  • Using data analytics can boost a business’s ability to make strategic decisions, maximize profits, and boost productivity.
  • Spreadsheets, data visualization, reporting tools, data mining software, and open-source languages are just a few of the software tools that data analytics uses to manage data as efficiently as possible.
  • Data analytics can take many different forms, such as examining what occurred (descriptive analytics), why something occurred (diagnostic analytics), what will occur in the future (predictive analytics), or what should be done next (prescriptive analytics).

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Data Analytics -Career Advancement:

The data analytics industry provides a wide variety of career pathways, respectable pay, and various work opportunities. Various alternatives are presented by data analytics across various industries and organizational tiers.

As soon as you graduate from college, some of the greatest data analysis positions can pay up to almost $100,000.  However, experts can make significantly more money. There is much room for growth in the data analytics industry. Both the opportunity for financial gain and the need for its services are extremely great. Consider working in this sector for a variety of reasons, such as:

Technological application. To extract insights from data, analytics experts use cutting-edge tools and methodologies, which may be both thrilling and difficult.

  1. Work effectively. The specialists in this industry who help businesses make data-driven decisions can have a substantial impact on the operation of a company.
  2. Prospects for Professional Development: Many persons who enter this area at entry-level roles eventually move up to managerial positions, therefore there are many prospects for professional development in this industry.
  3. Security at work. As data becomes a more valuable asset for companies moving forward, there will likely be an increase in demand for analytics professionals, providing job security in the industry.
  4. Distinct roles. You can definitely find a profession in the field of analytics that matches your interests and professional background among the many different ones accessible, including data scientists, business analysts, and data engineers.

Working in analytics also has other advantages, such as the flexibility afforded by modern companies, the accessibility of continued education, and the opportunity to cooperate with like-minded professionals.

Data analysts are in high demand as businesses increasingly rely on data analytics for optimization, driving up the need for experts with advanced data analysis abilities. If you’re ready to take the next step towards kickstarting your Data Analyst career then you should opt a suitable course of Data Analytics. Let’s give a complete overview of the courses offered by different institutions.

IIM SKILLS

IIM SKILLS’ customized data analytics course caters to various backgrounds, including freshers, graduates, IT professionals, and mid-level and senior-level professionals. It is a top provider of online courses focusing on professional skills, offering comprehensive training to excel in work or start a business. These courses cover various areas, blending theory and practicals, and are applicable to various careers and industries. The carefully planned material helps students develop their abilities and receive the best instruction. By identifying their passions and enhancing their skill set, they can turn their passions into lucrative and worthwhile jobs.

Reasons for IIM Skills to be the best option:

  • IIM Skills provides access to the continuously updated instructional resources for all time.
  • It provides constant assistance and career advice.
  • If you’re not satisfied with the training after your first session, you’ll get your whole payment refunded.
  • A 2-month guaranteed internship for professional experience and Master certification.
  • This is a skill-based, totally practical training.
  • The fact that every course is offered online allows for flexible study.
  • They have the most knowledgeable mentors who are top in their fields.
  • IIM Skills has a flexible schedule, so you can take classes on the weekends or during the week depending on your availability without having to compromise on your work or personal obligations.
  • 100% money back after your 1st session if you are not convinced with the training.
  • 10% of group discount if you register with your friends.
  • They also provide free demo sessions.

There is a wide range of courses that IIM SKILLS offers. They are:

  • Financial Modelling Course
  • Technical Writing Course
  • CAT Preparation Coaching
  • Search Engine Optimization (SEO) Course
  • Content Writing Course
  • GST Certification Course
  • Business Accounting Course
  • Digital Marketing Course
  • CAT Preparation Coaching

An Overview of the Data Analytics Course of IIM Skills:

One of the best data analytics Courses provided by IIM Skills is the Data Analytics master Course.The course lasts for six months and includes a two-month internship that is guaranteed. Overall, there are more than 160 hours of instruction. Additionally, they provide 100+ hours of practical instruction. They guarantee interviews for placements and base all of their instruction entirely on tools.

IIM Skills makes sure that a person’s working knowledge of the crucial tools for the data analysis industry is sufficient for an accurate understanding. Mid-level and senior-level industry workers are best suited for the course. Whatever the applicants’ prior experiences, IIM SKILLS’ data analytics course is the best choice. This indicates that any student, including new graduates, undergraduates, postgraduates, IT professionals, bankers, salespeople, and network managers, is welcome to participate in the course.

The cost of the course is INR 49990 including tax.

The course fee includes the cost of the exam and certification.

Weekday/weekend live training sessions are conducted online.

Course modules:

Due to the increasing importance of data in market trends, IIM SKILLS offers an advanced data analytics course, focusing on real-world trends and market relevance, preparing students for employment in the field. This great curriculum emphasizes the complexity of Data Analytics.

Following are the course modules:

  • Data Analytics Using VBA (15 Hours)
  • Data Analytics Using SQL (39 Hours)
  • Data Analytics Using Power BI (24 Hours)
  • Data Analytics Using Python-1(10 Hours)
  • Data Analytics Using Advance Excel (9 Hours)
  • Data Analytics Using Python-2 (10 Hours)
  • Data Analytics Using Tableau (15 Hours)
  • R For Data Science (20 Hours)
  • Data Analytics Using Alteryx (18 Hours)

Data analytics course goals and objectives

  • To make it easier for students to do business analytics tasks like gathering, cleaning, manipulating, and evaluating data
  • To familiarize students with the principles of data analysis, different types of data analysis, data mining, etc.
  • To gain comprehensive statistical Data Analysis understanding, which supports business decision-making processes.
  • To deepen your understanding of Data Analytics techniques utilizing applications like Excel, Power BI, and Tableau
  • To use Python as a replacement for spreadsheets to manipulate datasets

Eligibility criteria for this Leading Data Analytics Course:

IIM SKILLS has no pre-requisite requirements to enroll in the course. Anyone who has deep interest in learning data analytics can start from beginning to enter this cutting-edge sector.

  • A Graduate degree in any field.
  • Basic expertise in computers and technology.
  • It may be advantageous to have prior experience in statistics and mathematics, but it is not required.

Tools Knowledge: Prepare with a Course in Advanced Data Analytics:

IIM SKILLS puts a priority on helping you better comprehend the key instruments needed in the data analytics industry. Because of this, if you possess the required tool and software expertise, you will be able to stand out and actually contribute to proving your professionalism at work. It will provide you the opportunity to optimize both your unrealized potential and the value of your data drilling.

All companies and organizations favor candidates who have experience working with data tools and technologies.

  1. 1. Power BI: Power BI is a Microsoft cloud-based analysis service that offers thorough asset information insights and facilitates data extraction and visualization through specialized Data Analysis education programs.
  2. Tableau: Tableau is a highly regarded business intelligence application for analyzing and displaying data, assisting decision-making through dashboards, charts, graphs, maps, and stories.
  3. 3. Excel: Microsoft Excel is an essential data analytics tool for businesses, offering features like sharing workbooks, data addition, and real-time collaboration. It allows for easy analysis, understanding language queries, and tracking patterns, trends, and summaries to shape future campaigns.
  4. 4. Python: Compatible with Windows, macOS, and Linux, Python is a versatile programming language for data processing. Its straightforward syntax and dynamic semantics enable rapid analysis and manipulation of complicated data structures.

Skills attained after enrolling in the IIM Skills course:

IIM SKILLS’ Data Analysis course outlines a travel path to develop industry-relevant skills, empowering students to find lucrative job prospects.

The following is a list of the abilities you will acquire after completing this course:

  • Use the concepts of variables, conditions, loops, functions, etc. to develop Python programs.
  • Learn how to interact with, load, and save data with Pandas while reading and writing files in Python.
  • become familiar with words like central tendency, correlation, dispersion, and regression in statistics- Be an expert in SQL principles like query universal tool and SQL command.

Professional Courses from IIM SKILLS

Now, let’s discuss about Goa Institute of Management’s Data Analytics Course:

Goa institute of management offers PGDM(BDA) which aspires to produce managers that are data-fluent and prepared for the future.

Big data analysis is the technique and area of expertise that focuses on looking at enormous and diverse sets to find patterns, pertinent insights, market trends, client preferences, and more. To produce managers of the future, GIM’s PGDM Big Data Analytics (BDA) program blends business acumen with analytical thinking.

Businesses are opening up new revenue opportunities, marketing trends, operational optimization strategies, and more as they increasingly adopt the power and insights provided by data. The BDA program is not just applicable to corporate organizations; it also has enormous significance for governmental organizations and for the formulation of public policy.

An overview of PGDM(BDA) course of Goa Institute of Management:

The BDA program at GIM prepares data-driven, insightful managers with hands-on experience and theoretical learning for sustainable business, equipping them with the right tools and techniques for today’s business scenario.

The curriculum has been created by the Goa Institute of Management to provide candidates with the chance to thoroughly prepare themselves with knowledge of many different management-related fields. Additionally, the course places a lot of emphasis on using BDA tools and approaches to address actual business issues.

Th applicants receive different opportunity to work on real industrial projects in addition to receiving practical training utilizing all key software tools. When the program is finished, applicants are fully capable of applying strategies to actual business conditions and deploying BDA tools and approaches to gain better insight that aids in the development of optimal solutions.

The program is set up so that business knowledge and BDA-related expertise are split 40:60. GIM is a cloud solution that offers a rich experience along with a cutting-edge data science lab.

Course Name: Postgraduate Diploma in Management (BIG DATA ANALYTICS)

Course Institution:Goa Institute of Management

Course Duration: 24 month(s)

Course Fee: INR 1092000

Course Mode: full time regular classroom

Eligibility Requirements:

In order to apply for the PGDM (Big Data Analytics) at the Goa Institute of Management, candidates must meet the following requirements:

  • A three-year Bachelor’s degree (or equivalent) with a minimum cumulative grade point average of 50% (45% for candidates in the SC/ST category) and recognition by the Association of Indian Universities/AICTE.
  • A maximum of 120-student may enroll in a full-time PGDM (BDA) programme.

Important Points:

For the PGDM (BDA), shortlisting of the candidates must include face-to-face interviews based on their profiles, inclusive of their XAT, CAT, GMAT, or CMAT scores, as well as their qualifications, prior academic record, and employment history.

Curriculum

Degree of Completion:

Upon successful completion of the course PGDM(BDA), students will be rewarded with degree and certification.

Learning Intentions:

If you’re a seasoned professional looking to advance your skills, this course is for you. Big Data Analytics combines Data Management tools to analyze data for business benefits, comprehending market dynamics, and customer preferences, bridging digital and physical worlds thereby creating new opportunities. Because of these features, it could be considered as the technology of the future.

BDA professionals leverage the power of business and analytics in order to bridge the gap between the physical and digital worlds and to open up new business prospects and avenues for digital enterprises.

Summary of IIM Skills vs Goa Institute of Management Data Analytics Course:

The data analytics course offered by IIM Skills leads to certification, but the data analytics course offered by GIM leads to a degree. They demonstrate their superior teaching and mentoring skills in each of the courses. They significantly surpass superior in terms of methods and modules. It is advisable to first attend the demo sessions offered by both colleges before conducting a thorough investigation on their websites to determine which course will be ideal for you.

IIM Skills vs. Goa Institute of Management Data Analytics Course comparison was done primarily to make you aware of the technical aspects of the courses.

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Frequently Asked Questions related to IIM Skills vs Goa Institute of Management Data Analytics Course:

Q1.  How should I get ready for my data analytics course?

This is one route to getting started if you’re thinking about pursuing a career in this in-demand industry:

  • Obtain a basic education.
  • Develop your technical abilities.
  • Take on tasks with actual data.
  • Compile your work into a portfolio.
  • Practice outlining your conclusions.
  • Obtain credentials/ certifications.

Q2. Is data analysis particularly challenging?

Like acquiring any new ability, mastering data analytics has certain challenges and takes time and dedication. Big data can be challenging to learn, especially for individuals without a technical background, who haven’t worked with programming languages before, or who haven’t used data visualization software before.

Q3.How can I hone my data analysis abilities?

10 ways to strengthen your data analysis abilities

1) Begin with the fundamentals.

2) Learn from other people.

3) Choose The Right Tools.

4) Acquire data visualization skills.

5) Engage in Actual Projects.

6) Analyze various kinds of data.

7) Employ algorithms for machine learning.

8) Pay attention to data ethics.

Conclusion regarding IIM SKILLS vs Goa Institute of Management data analytics course:

Since data is now pervasive, learning all the necessary trade secrets and technology is essential to landing a well-paying job. Data is generated by everything you do offline and online, and it is a crucial commercial resource. In fact, data and analytics are identified as being crucial to growth by most of the businesses.

The demand for experts who can transform data into useful insights is rising as we move toward greater digitization. Individuals can learn how to uncover the hidden value of large data by taking data analytics courses, in contrast to the IIM Skills vs Goa Institute of Management debate. You should upskill your talents by learning how to use platforms and analytics software like Power BI, Tableau, Excel, and spreadsheets if you want to increase your chances of landing a solid job in this industry. Try to improve your skills and knowledge in the best computer languages for data science and analytics, such as Python, SQL, and R, which you may learn by enrolling in the courses mentioned above.

IIM SKILLS vs IIM Kozhikode Data Analytics Course Review

by | Nov 2, 2024 | Courses, Data Analytics, Institute Review

Having never handled data before? Do you want to begin your data analytics career? We have you covered. Data has evolved into a universal requirement for all of us. Jobs in the data industry are in high demand right now. Attending the right Data Analytics course should be a top priority in your life. Knowing that, in this highly competitive environment, choosing the right route will prove to be a very difficult assignment for you. You are welcome to read this article, IIM SKILLS vs IIM Kozhikode Data Analytics Course, to go deep into a new skill or just dip your toes in to see if it’s suitable for you.

IIM SKILLS vs IIM Kozhikode Data Analytics Course

You don’t need to worry if you have any concerns about taking this course because you can easily enroll even if you lack the necessary school credentials or professional experience in the sector. Data analysts are in high demand, and there is a shortage of skills, due to which industry experts are concerned. Here is a comprehensive examination and analysis of the IIM SKILLS vs IIM Kozhikode Data Analytics Course which might assist you in keeping an eye on things and making smart decisions.

Now that we’ve reached this point, let’s talk about where to begin. In reality, the first and most important item to consider and research is what data analysis is actually and why one should choose to follow this course of study.e., what is the need for data analysis.

Looking for other best options? Dig in here:

 

What Actually is Data Analysis?

Global businesses produce enormous amounts of data each year. Log files, web servers, transactional data, and various customer-related data are all examples of how this data may be presented. Additionally, data has been produced at a rapid rate through social media platforms and applications like Facebook, Instagram, Twitter, and WhatsApp.

Businesses want to use this data to extract value from it and make business choices, which is where data analytics comes into play. Data analytics boost the efficiency and speed of international trade. Since it is the act of analyzing and examining undetected patterns, unearthing correlations, and gathering valuable knowledge that can be applied to produce business projections, data analysts examine and analyze enormous data sets.

A few years ago, a firm would have manually collected information, performed statistical and intricate analytics, and discovered information that might be used for decisions in the future. However, in the modern world, that organization can quickly recognize that business when a decision needs to be made.

The majority of businesses have access to big data, and most of them are aware of the need to use it carefully and to the fullest extent possible. These experts use several cutting-edge technologies and methodologies in their work as data analysts.

Whatever we have learned in data analytics, we are now in a position to explore its uses:

The uses of data analytics are numerous. In a variety of business endeavors, breaking down large amounts of information can increase productivity. Organizations can succeed in a relentlessly competitive world by improving execution.

Advantages: –

It becomes more crucial for your company to understand how to use data analytics as its importance in the corporate world grows. Several benefits of data analytics include:

  • Improved Decision Making
  • More Successful Marketing
  • Better Customer Service
  • More Effective Operations
  • Data Analytics increases maximum efficiency

Data analytics is also used to identify fraud, which improves efficiency and lessens threats to financial institutions.

You should check the courses in other rewarding cities

 

However, using data analytics extends beyond increasing profits and return on investment. Data analytics can help with health informatics, criminal justice, and environmental protection by supplying crucial information. Data analytics activities use these techniques to improve the world.

Data analytics have long been used extensively in the healthcare industry. Examples of how data analytics is transforming healthcare include the ability to predict patient problems, allocate resources effectively, and perfect individual methods. Machine literacy is reshaping the pharmaceutical industry as well. It is a difficult task with many factors to discover new medicines.

The Discovery of new medicines can be significantly improved by machine literacy. In order to comprehend patient needs and forecast their deals, pharmaceutical corporations also employ data analytics.

Thankfully Data Analytics have a significant advantage on the companies. Using Data Analytics is a skill that is becoming more and more valuable because the margin for error in decisions is getting less and thinner. Gaining insights, planning ahead, and interpreting the unprocessed transactional data that many businesses today keep on a digital platform is necessary.

 

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Several reasons why it’s crucial to take a data analytics course

To comprehend trends and patterns from the enormous amounts of data being gathered, data analytics are crucial. It aids in cost savings, cost forecasting, audience understanding, and company performance optimization. You must research trends if you want to be successful in the digital age that is fostering the development of a knowledge-based society. Every business, from start-ups to multinational corporations, relies on data to develop better business plans for the future.

Must Read:

 

The internet has made it simple for everybody in this information age to obtain information whenever and wherever they need it. Now imagine that you are the individual who these businesses rely on before they make any significant business decisions. Here are several justifications for enrolling in a data analytics course:

Data analytics transforms businesses, influencing decision-making and marketing tactics, and impacting strategies and tactics for both large and small organizations.

  • Data analytics is a demanding career, seeking skilled candidates with relevant skills. A certified degree is essential for success. Whether new or technical, data analytics is crucial for career growth and future benefits.
  • The Science and Technology Committee predicts 58,000 job creations and £216bn economic contribution by 2021 due to rising demand for data specialists. With a social media presence, data analytics professionals are essential for businesses, making this a wise career move.
  • Data-dependent industries offer diverse career opportunities in business intelligence, marketing, sales, finance, data assurance, and higher education.
  • Data analytics offers freelancing opportunities and potential for well-paid consultant positions for major firms. IT-based job, with an internet connection, provides global income and work-life balance.

 

Grow fast with these best:

 

IIM SKILLS vs IIM Kozhikode Data Analytics Course – A Detailed Analysis 

Now that it is relevant that one should pursue a data analytics course due to its advantages and effectiveness, we would undertake thorough research over the top courses and leave it up to you to determine which one course would be appropriate for you.

IIM SKILLS

IIM SKILLS is a renowned organization that offers various skill development courses in India. They provide training programs in data analytics, digital marketing, content writing, search engine optimization(SEO), social media marketing, and other in-demand skills.

 

Key Features:

IIM Skills has a team of experienced professionals who are experts in their respective fields. They have extensive knowledge and practical experience that they bring to the training programs. IIM SKILLS entered the teaching profession after over five years of operating an educational blog that reached over 1 million internet users worldwide.

The courses offered by IIM SKILLS are designed to provide in-depth knowledge and skills required to excel in specific domains. The course content covers both theoretical concepts and practical applications.

 

The 6-month Data Analytics Course offered by IIM Skills includes a 2-month unpaid internship training. 160 hours of lecture time are included, along with 100+ hours of practical assignments and 7+ hours of live projects. You can master 7+ tools using its 10+ case studies. Additionally, it offers a guaranteed internship with learning that is based on actual experience.

Duration – 6 months of Training + 2 Months  Internship (Non-Paid)

Topics covered in this course include:

  • Introduction to data handling
  • Data Manipulation Using Functions
  • Data Analysis and Reporting
  • Data Visualization in Excel
  • Overview of Dashboards
  • Create Excel dashboards utilizing Pivot Controls.

Acquire knowledge about the analytics tool Covered:

  • SQL
  • Alteryx
  • R
  • Excel
  • Power BI
  • Python
  • Tableau

Skills acquired upon completion of the course:

  • Acquire knowledge of the basics behind Python programming, including variables, conditions, loops, and functions.
  • Familiarize yourself with terminology from the statistical lexicon, such as central tendency, correlation, dispersion, and regression. – SQL concepts like SQL command, and query universal tool in Excel.
  • Develop business analytics skills with the help of Excel
  • Understand the concepts of Python including those related to lists, dictionaries, sets, contributions, branching, classes, and objects.

 

  • Practice reading and writing files, using Pandas to work with, load, and save data, and other data-related tasks in Python.
  • Gain a solid understanding of data interpretation in Python by working with multi-dimensional arrays in NumPy, managing Data Frames in Pandas, and implementing machine learning with Scikit-Learn.
  • Possess a command knowledge of linear and non-linear regression models and be well-versed in classification techniques for the job of data analysis
  • Develop proficiency with clustering techniques such as K-means, DBSCAN, and hierarchical clustering.
  • Become acquainted with Microsoft’s Power BI analytics and visualization tools;
  • Acquire knowledge of the Tableau model and statistics; and discover how to create interactive dashboards.

The Available Course Modules Are:

Modules Topics covered
Data Analytics Using Advanced Excel Introduction to Data Handling

Data Visualization in Excel

Data Manipulation Using Functions

Data Analysis and Reporting

Overview of Dashboards

Create Dashboards in Excel- Using Pivot Controls
Data Analytics Using VBA Introducing VBA

Key Components of Programming Language

How VBA Works With Excel

Programming Constructs in VBA

VBA Functions and Procedures: Modularizing Your Programs

Objects and Memory Management in VBA

Communicating With Your Users

Others
Data Analytics Using SQL Basics RDBMS Concepts

Utilizing the Object Explorer

Data Based Objects Creation (DDL Commands)

Data Manipulation (DML Commands)

SQL Server Reporting Services

SQL Server Integration Services

Other
Data Analytics Using Power BI Introduction

Data Preparation and Modelling

Keep and Remove Rows, Go to Columns, and Add, Remove

Data Analysis Expressions (DAX)

Reports Developments (Visuals in Power BI)
Data Analytics Using Python-I Introduction to Basic Statistics

Introduction to Mathematical Foundations

Introduction to Analytics and Data Science

Python Essentials (Core)

Operations With NumPy (Numerical Python)

Overview of Pandas

Cleansing Data with Python
Data Analytics Using Python-II Data Analysis Using Python

Basic Visualization Tools

Visualizing Geospatial Data

Data Visualization with Python

Advanced Visualization Tools

Statistical Methods and Hypothesis Testing
Data Analytics Using Tableau Getting Started

Data Handling and Summaries – I

Data Handling and Summaries – II

Building Advanced Reports/ Maps

Table Calculations

Calculated Fields
R for Data Science Data Importing/Exporting

Data Manipulation

Data Analysis

Data Visualization with R

Using R with Databases

Introduction to Statistics

Linear Regression: Solving Regression Problems

Testing
Data Analytics using Alteryx Data Analytics using Alteryx

 

 

For each module of the course, the tuition fee of INR 19,900 plus taxes, is the same. According to your needs, you can choose any of the modules. The Data Analytics Master Course is priced at Rs  49900 + taxes

Other Professional Courses from IIM SKILLS

Solid Elements of IIM SKILLS Data Analytics Program are:

24/7 Accessibility:

These online data analysis courses provide convenient, anytime access to education, eliminating distance, traffic, and time-consuming commuting. With laptops and internet connections, students can learn data analysis with advanced interactive sessions and student-centric pedagogy.

Flexible Scheduling:

IIM SKILLS offers flexible scheduling for students, professionals, housewives, and others, offering weekday and weekend batches to accommodate diverse schedules and commitments.

Master Certification:

IIM SKILLS offers a Master’s certification in Data Analytics, enhancing employability by adding it to LinkedIn, resume, and CV, attracting potential employers.

The institute boasts exceptional faculty members with extensive experience, training professionals with subject-matter knowledge and strong pedagogical practices. They introduce fundamentals, complex ideas, tools, and helpful hints, preparing students for real-industry problems and industry secrets.

Tools:

The digital economy relies on data, speed, simplicity, and expertise. Tools and software accelerate and simplify complex procedures, bringing about real change in less time. At IIM SKILLS, learn to use top-notch data analytics tools to produce error-free work and stay ahead of competition.

 

Free Demos: 

Before enrolling in their data analytics program, IIM SKILLS gives a free demo session to give students an overview of the course structure, methodology, and pace.

Exceptional faculty:

There are a lot of data analytics courses provided at IIM Kozhikode (Calicut). To name a few are Data Spark, Techolas Technologies Pvt Ltd, Luminar techno lab, Quickxpert, IIM Kozhikode,360digiTMG Data Analytics Course, and many more. We are going to discuss one of them in detail.

Complimentary services:

IIM SKILLS offers complimentary services like backup classes, resume preparation, interview support, and job referrals. These services are available at no extra cost, ensuring a lifelong commitment to learning. Students can access updated resource material through their LMS account and connect with mentors anytime to address career-related dilemmas.

 

Learning Resources:

The LMS (Learning Management System) of IIM Skills offers a vast collection of pre-session study materials, session recordings, and supplemental material. This system makes it simple to track progress, allowing monitoring and unrestricted access.

Courseware:

Courseware is an extensive collection of cutting-edge modules that address the fundamentals of data analysis with an emphasis on the what, why, when, and how. Starting with fundamental data analytics and moving on to more complex topics like Excel, Power Pivot, data structures, Power Bi, Tableau, and Python, it provides a well-balanced mix of theoretical and practical principles.

 

IIM Kozhikode Professional Certificate Program in Data Analytics for Business Strategy:

IIM Kozhikode’s Executive Data Analytics Program is a one-of-a-kind program that focuses on preparing professionals for leadership roles by building on their experience and innate skills through best-in-class, in-depth coursework, and real-world exposure. Professionals such as Senior Managers, Consultants, Early-Stage Professionals, Business Owners, and Entrepreneurs are targeted for this program.

IIM Kozhikode’s Data Analytics for Business Strategy program offers essential tools for real-world problem-solving, refining decision-making, and acquiring a data-driven analytical framework for critical business challenges and career advancement.

Key Highlights:

  • Analyze Data Analytics techniques, resources, and applications to maximize your digital marketing efforts.
  • Gain practical knowledge by engaging in high-impact learning via industry case studies.
  • One-to-one executive coaching sessions and career services sessions by the institute
  • Certificate by IIM Kozhikode
  • Following successful program completion, IIM Kozhikode Executive Alumni Status.
  • Improve ROI and business growth by being adept at data-driven decision-making.
  • Interact with notable industry professionals and eminent IIM Kozhikode faculty.

Eligibility:

The applicants should at least be graduates/Diploma Holders (only 10+2+3) from a recognized university in any discipline.

They should also have at least a year’s worth of experience

What will you learn:

To obtain a thorough understanding of the Data Analytics Expert’s position in the difficult business environment of today.

Learn about the use of predictive modeling in various fields

Find out how analytics may be applied to filter and evaluate options as well as generate new product ideas.

Discover data analytics techniques for forecasting, planning, and optimizing inventories.

Recognizing fundamental methods for data collection, R/IBM SPSS, data coding, statistics, data mining, predictive modeling, creation of product strategies, and marketing analytics.

Enhance advanced functional concepts like financial decisions, stock price forecasting, digital/social media, campaign optimization, operations, supply chain, inventory, HRM, and talent management.

 

Who should do this course?

Early-stage professionals seeking to build a career in the fields of sales, marketing, product development, and branding.

Leaders and senior Managers who wish to acquire a nuanced understanding of the applications of Data Analytics in order to fabricate superior business strategies.

CXOs, IT specialists, and consultants who aim to assist their clients in making connections between disparate data points by using the appropriate combination of strategy, insight, and data analytics.

Business owners and entrepreneurs who are committed to using data analytics tactics to drive customer-centric decision-making.

Course Modules for this Course are:

                Modules                      Topics Covered
Data and Sources of Data
  • Types of Data: Qualitative and quantitative/primary vs secondary
  • Employing different data collection methods across diverse business domains
  • Qualitative data collection techniques 
  • Quantitative data collection techniques(survey)
  • Quantitative data collection techniques(experiments)
Data Analytics Fundamentals
  • Introduction to R/IBM SPSS
  • Making use of different data analytics software
  • Generating insights through descriptive analysis
  • Data cleaning through generating insights through graphics/visualization
  • Data coding through preliminary analysis
Understanding Statistics for Business Applications
  • Introduction to statistics and its applications using software
  • Descriptive statistics and its applications
  • Inferential statistics and test of hypothesis
Data Mining and Predictive modelling Algorithms for Business Data
  • Decision tree 
  • Random Forest
  • Logistic Regression
  • Regression Analysis
  • Supervised/Unsupervised Learning Algorithms
  • Bagging and boosting
  • KNN
Data Analysis for Project Strategy Formulation
  • Estimating the potential volume and new product demand
  • Analyze profitability potential for new products
  • Formulating the data driven pricing strategy
  • Managing the products with sustainable competitive advantage
  • Developing product introduction strategy
Data analytics for marketing and customer analytics
  • Understanding customer lifetime value 
  • Managing customer loyalty
  • Expected profitability of newly acquired customers
  • Recency, frequency and monetary value (RFM) of customers
  • Predicting customer churn
  • Improving customer satisfaction through data-driven insights
  • Customer level purchase information for customer retention
Data Analysis for Financial Decisions
  • Financial Modelling and Prediction
  • Stock Price Forecasting
  • Data Analysis for Financial Strategy Formulation
  • Fundamentals of Finance and Financial Analytics
Data Analysis for Digital/social media
  • Campaign Optimization
  • Text mining for Business insights
  • Publisher Optimization
  • Deciding the media strategy
  • Publisher optimization
Data analytics for operations and Supply Chain (Emeritus faculty)
  • An introduction to supply chain and operations metrics
  • Analytics for Inventory Optimization
  • Demand analytics for Planning and Forecasting
  • Prescriptive Analytics for Network Design and Planning 
Data Analytics for HRM
  • Evolution of HR Analytics
  • Optimizing Hiring strategies using data driven insights
  • HR cost and attrition prediction
  • Analytics for Talent Management
  • Predicting performance appraisals using inferential statistics

Important Points:

While the IIM Skills Data Analytics course is available to everyone, the IIM IIM Kozhikode Data Analytics course is exclusively open to Indian residents.

While IIM Kozhikode does not promise or guarantee a job or advancement in your profession, IIM Skills Data Analytics Course guarantees 100% placement aid and job support.

 

Recommend Read,

Frequently Asked Questions Regarding IIM SKILLS vs IIM Kozhikode Data Analytics Course:

Q1. Which businesses in the data analytics sector are available for employment?

The data analytics industry is very diverse, and you can work in related industries including,

  • Logistics and Transport
  • Education
  • Entertainment and Media
  • Health and Fitness 
  • Finance
  • Marketing
  • Retail

Q2. Why is it advantageous to be a data analyst?

Data analysts frequently have a mix of SKILLS, including technical proficiency, excellent communication, and leadership traits. Because of this, professions in data analysis provide workers with a wide range of employment options, a high potential for financial reward, and thrilling leadership positions with the ability to influence the future.

Q3. What are the most important qualifications for a data analyst?

  • Ability to analyze
  • Critical Thinking: Data analysts are frequently tasked by businesses with both data collection and data interpretation for a particular purpose.
  • Problem-solving. Technical problems are frequently encountered by data analysts while performing their tasks.
  • Statistics.
  • Detail-oriented work.
  • Domain expertise

Concluding Thoughts on IIM SKILLS vs IIM Kozhikode Data Analytics Course

The vital discipline of data analytics entails the analysis, interpretation, and visualization of data in order to derive insightful conclusions and make deft judgments. Learning data analytics has become extremely advantageous for people looking to stay competitive in the job market and spur corporate growth due to the rising demand for data-driven initiatives across a variety of industries.

Ultimately, the topic of data analytics is one that is tremendously intriguing. The way business is conducted around the world is changing as a result of this cross-disciplinary field, which relies on statistical analysis of massive volumes of data.

I hope the courses I’ve described above will be useful to you as you choose a data analytics course to pursue and develop your career.

IIM SKILLS vs. Jeetech Data Analytics Course- A Complete Summary

by | Nov 2, 2024 | Courses, Data Analytics, Institute Review

Do you genuinely want to learn data analytics course? Do you want to sever ties with your former life? Are you considering data analytics and debating whether it’s a wise decision to make? You’ve arrived to the right place. Welcome to this article on IIM SKILLS vs. Jeetech Data Analytics course, where you will learn everything there is to know about the two top institutions offering top-notch data analytics training and helping you advance your career. You may learn everything you need to know to succeed by enrolling in a top-notch online data analytics institute. Let’s look for a new route.

IIM SKILLS vs Jeetech Data Analytics Courses (2)

Data analysis has been a significant concept since the 19th century, when Henry Ford measured the speed of each part of his new assembly line to determine where it could be made more productive. Analytics became even more important in the 1960s when researchers started using computers to help with business choices.

Understanding Data Analytics:

Let us take an example of a company. Suppose a company named X sells products like body lotion, shampoo, bath gel etc. Assume that 8 out of 10 clients choose to purchase shampoo from that company. Only 2 out of 10 people, however, purchase bath gel from the same company.

Data Analysis means figuring out why only 2 customers trusted X with bath gel when 8 customers are ready to trust X with shampoo.

Therefore, analysis is the process of looking through data to detect patterns or discover the internal workings of anything. Data analysis comprises finding patterns, correlations, and trends in the data and drawing conclusions that have practical applications.

Decision-making can be aided by the knowledge gained by data analysis, which can also help to spot areas that could use improvement or lead to the creation of new goods, services, or procedures. Data analysis is used in a variety of industries, including banking, medical, marketing, and engineering, among others.

Data significantly impacts businesses globally regardless of their size, location or sector.80% of the firms use data for operations like product management, customer support and production. This is to be anticipated. As a result of data analysts’ assistance in finding trends and fixing issues, corporate executives are able to make better judgments.

In reality, if you don’t have a degree but want to work as a data analyst, you shouldn’t be worried. Data analyst employment will predominate among no-degree occupations by 2025; therefore, you won’t need a degree to apply. You will learn the skills you need to thrive in a high-quality online data analytics course, and many data analysts without degrees have found rewarding employment. Therefore, it would be wiser to enroll in a recognized institution and complete a certificate program in data analytics training. But let’s try to comprehend data analytics in its simplest form for the time being. Now, the issue of where to enroll to start a career in data analytics comes up. To help you with that, we invite you to read this post comparing IIM Skills vs Jeetech’s data analytics courses so you can decide which one is most suitable for you. 

Data Analytics is a large science or field including complete data control. The collection, organization, and storage of data, as well as all the tools and methods utilized, are included in this in addition to analysis. Therefore, in plain English, we may state that data analysis is the process of carefully scrutinizing, changing, and arranging a given data collection in order to explore its constituent parts and derive valuable information.

Engineering, marketing, finance, and the medical industry are just a few of the businesses and fields where data analytics is frequently used. It can be used by businesses to boost productivity, uncover new possibilities, and make wise decisions.

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IIM SKILLS:

A key component of pushing forward to accomplish your goals is developing trust in the institution you wish to enroll in. Only when institutions honor their commitments and keep their promises can trust be built. One of such kind of an institute is IIM SKILLS.

IIM SKILLS, one of the top educational technology institutions that has won numerous awards for its exceptional support of its students, has worked to provide the top professional education required to succeed in a variety of extremely lucrative fields, including finance, content writing, digital marketing, and technical writing, among others. The CEO and the digital consultant Mr. Vaibhav Kakkar highlight the importance of immersive, interactive learning for both professionals and students.

The IIM SKILLS course curriculum is demanding and includes modules, real-world projects, case studies, and learning aids to improve learning retention and enjoyment.

IIM Skills is known for its challenging professional courses, one of which is the Data Analytics Course. The rigorous course material equips you with a thorough understanding of data and how it can help firms survive in this increasingly competitive market.

IIM SKILLS Data Analytics Course-Overview:

This Data Analytics Training program is a 6-month total training period and comes with a 2-month, optional, non-paid internship. You gain competence in many different areas, including Python libraries, NumPy, DB Scan, clustering, along with many other concepts.

Additionally, you learn how to use interactive dashboards and get experience with visualization tools. The course covers all of the following:

  • Heatmap
  • Pareto
  • Waterfall
  • Tree map. 

Through live immersive learning sessions, IIM SKILLS’ data analytics course uses an immersive learning methodology. The case studies, practical projects, and ongoing evaluations help you gauge your understanding of the challenging aspects of the data analytics process.

Their extensive instruction consists of 9 modules, each of which has 100 + hours of practical work and 150 + hours of lectures. As an additional option, you can select a particular module to study based on your needs.

In order to give you practical experience, this professional course comprises 10+ case studies, 7+ tools, and 7+ live projects. After the training is over, their committed placement cell staff conducts 100+ interviews with assurance.

Course Fees: 49990 INR plus taxes

Jeetech Academy:

Jeetech Academy is a top online learning resource offering data analytics courses that are applicable to the industry world. The Academy in Delhi is regarded as the leading institution that focuses on developing strength and offers its students 100% placement. To provide thorough training in data analytics, data science, and big data, they work in collaboration with academic institutions and industry specialists. Various technologies and topics are covered in Jeetech Academy classes, including SQL, Python programming, data mining, and data visualization. To guarantee a comprehensive learning experience, they offer engaging online lessons, useful assignments, and individualized mentoring. Assisting with job placement, networking, and career support are other services provided by Up Grad. They provide students real-world assignments to work on, which helps them become more proficient and self-assured. Students use the most recent technology that is presented to them in real-world assignments.

Jeetech Academy is known to provide quality skills to their learners.

Jeetech Data Analytics Course-Overview:

Jeetech academy provides live project training to each learner. They finish the entire curriculum with complete practical assistance so that the learner can easily achieve industry-level skills. Jeetech Academy offers highly reputable data analytics course called Data Analytics. It gives students thorough training in data analytics methods and equipment so they are prepared to succeed in the profession. Data manipulation, data visualization, predictive modeling, and machine learning are all topics covered in the curriculum. Jeetech Academy provides hands-on projects and case studies that mimic real-world data analytics problems with a strong emphasis on practical learning.

The Jeetech Academy Has Some Outstanding Traits

  • The most reasonable institutions use a reverse teaching methodology, whereby they first provide practical instruction before presenting theoretical concepts.
  • The trainers are very knowledgeable and have more than 14 years of expertise in the field of data analytics and data analysis.
  • The instructors frequently communicate with the company’s HR department and keep students informed about open positions.
  • The instructor concentrates on real-world training help and provides individualized attention to every student.
  • Professional performers can effectively hone their skills on the weekends thanks to special batches created only for them.
  • They allow students the flexibility to work on legitimate assignments. Students can learn actual working designs of the business in this method.
  • The Jeetech academy is crucial in helping students get the best placements. They prepare learner resumes in accordance with current business norms. The group makes sure that each student gets a good job in the company.

Course Fee:

Highly affordable so that anyone can learn a new skill.

Eligibility Criteria of IIM SKILLS vs Jeetech Data Analytics Course: 

                  IIM SKILLS                 Jeetech
IIM SKILLS believes that anyone can enroll in their data analytics course if they want to advance in their field, and this includes:

  • Fresh Graduates
  • UG/PG Students
  • IT Professionals
  • Sales Professionals
  • Supply Chain Network Managers
  • Banking and Finance Professionals
  • Marketing Managers
 The data analytics course of Jeetech is the ideal career path for people who want to advance their IT careers. Some professionals can also enroll in data analytics courses and become knowledgeable.

  • Fresher and working professional
  • Programmers
  • Experts who work with corporate intelligence and reporting software
  • Business analyst
  • Professionals who work in data warehousing.
  • Statisticians, Economists, and Mathematicians.

Tools covered in IIM SKILLS vs Jeetech Data Analytics Course:

        IIM SKILLS                Jeetech
Excel

NumPy

Power BI

Python

Tableau

Alteryx

Pandas

R

SQL

 Microsoft Excel

NumPy

BI

Python

Tableau

MATLAB

SAS

R 

SQL and MOSQL

Data Visualisation

Data Cleaning

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Key Highlights of IIM Skills vs Jeetech Data Analytics Course:

                IIM SKILLS           Jeetech Academy
  • Participants are instructed by faculty of industry expert  
  • The program is totally organized and delivered on data-driven tools
  • Participants have to work on 7+ live projects/ 10+ case studies 
  • The program provides a 2-month non-paid internship for practical training, enabling industry exposure.
  • 24*7 support available to course participants
  • IIM SKILLS provides an interview guarantee and job assistance support.
  • 100% money back guarantee if not satisfied after the first class
  • Participants are taught by highly experienced certified trainers with 12+ years of experience
  • Participants will be assigned real-world case studies and projects. They will undergo projects involving data cleaning and R programming.
  • Jeetech hold bootcamps on a regular basis along with seminars, and webinars.
  • Participants are provided with free access to various data analytics competitions and hackathons.
  • Participants are provided with live training of 100+hours along with regular bootcamps,seminars and webinars on a regular basis.
  • Participants learn new things in both online and offline modes. They are being provided with back-up classes, videos, and revision sessions in addition to project assistance.
  • Jeetech supports in resume preparation and portfolio building as per current industry standards.
  • Jeetech provides 100% guaranteed placement assistance, internship and hands-on live project
  • It also offers lifetime support and industry recognized certificate.

Learning Outcomes of IIM SKILLS vs Jeetech Data Analytics Course:

IIM SKILLS

  • Get a solid understanding of data interpretation in Python.
  • IIM SKILLS Know the fundamentals of statistics, such as correlation, central tendency, dispersion, and regression – be familiar with Excel at SQL terms such as commands and query universal tool.
  • Learn Python’s principles, including lists, contributions, branching, sets, dictionaries, objects, and classes, to effectively use the language.
  • Use the ideas of variables, loops, conditions, functions, etc. to develop Python programs.
  • Explore how to write and read files in Python while dealing, storing, and loading data with Pandas.
  • Using NumPy’s multi-dimensional arrays, Scikit learns machine learning, and Pandas’ data frame management implementation.
  • Using Python libraries to analyze the data analytics performance.
  • Have an extensive grasp of classification approaches, linear and non-linear regression models, and both for the data analysis work process.
  • Learn how to use hierarchical techniques and clustering techniques (K-means, DBSCAN) in an effective manner
  • Learn how to use Excel for Business Analytics
  • Learn about the model and statistics in Tableau and hone your abilities to create interactive dashboards.
  • Acquire knowledge of visualization techniques including waterfall, heat maps, tree map, market basket analysis, and Pareto

Other Professional Courses from IIM SKILLS

Learning Outcome of IIM SKILLS vs Jeetech Data Analytics Course:

Jeetech Academy

  • The course opens new opportunities abroad. The specialization is in high demand abroad.
  • Earn a rewarding industry-recognized certificate after the course.
  • In addition to improving individual skills, the course also improves the CV and portfolio of the student.
  • Acquire expertise in data analytics, including SQL, Tableau, R, SAS, data visualization, python, BI, and excel.
  • You will receive complete preparation for placement after completing the data analytics certification course.
  • Get backed by a team of high industry experienced professionals who already worked with Top MNC companies
  • Provide complete support to students by Data analysts and Data Science professionals.
  • Dedicated team ready to build a better career path with the help of a data analytics training 

Contact Information of IIM SKILLS vs Jeetech Data Analytics Course:

                      IIM Skills                Jeetech Academy
  Phone No- +91 9580 740 740 Phone No – +91 9899894291
  Email Id   -info@iimskills.com  Email Id   – info@jeetechacademy.com

Reasons Why to Choose IIM SKILLS for Data Analytics Course:

  • MSME Government of India Recognition
  • Renowned for providing outstanding post-course support
  • Excellent and knowledgeable professors
  • Outstanding post-course support.
  • Affordability
  • There are a variety of learning materials available, including case studies, practical projects, specialized modules, etc.
  • Free lifetime access to the learning material 
  • Efficient Pedagogy
  • The courses are 100% practical oriented and technology-driven
  • All the courses by IIM SKILLS are 100% certified and globally recognized.
  • The course curriculum is personally created and organized by their mentors who are subject-matter experts and have gained decades of expertise.
  • They provide support and career developing advice 24 hours on a daily basis.
  • The fact that all the courses are online provides all the applicants flexibility in learning and flexible schedule.
  • 100% assured internship

Reasons Why to Choose Jeetech Academy for Data Analytics Course:

  • They provide Practical In-depth Training
  • Their group of trainers is industry professionals maintaining more than a decade of knowledge in training.
  • Small Batch Sizes
  • SmartLabPlus Teaching Methodology
  • 100 % Job Assistance
  • Personality Development
  • They provide life time support
  • Interview Preparation
  • Affiliation with Top Companies
  • Their certificates are globally acknowledged provided after fulfillment of the course.
  • They trained 3500+ nominees in a year
  • To improve the students’ abilities, they offer personality development classes, English classes, communication classes, and mock interviews.
  • Diverse Variety of Courses
  • They were successful in establishing a large number of scholars who are currently employed by MNC Companies.
  • The training institute develops in its students ideas that aid in securing      employment in top companies.

Frequently Asked Questions Related to IIM SKILLS Vs Jeetech Data Analytics Course:

Q1. Is it suggested that beginners take these Data Analytics courses?

Yes, beginners can take the course without a doubt. Experts have designed the course curriculum, which covers all the basics from fundamentals to advanced ideas related to data analytics. The course steadily advances to the expert knowledge of Excel, Tableau, Python, and Power BI after starting with an introduction to data analysis.

Q2. How to get started as a Data Analyst? 

The following five factors should be taken into consideration if you want to work in data analytics:

  1. Obtain a bachelor’s degree in a subject that places a focus on statistical and analytical abilities, such math or computer science.
  2. Learn important data analytics skills
  3. Consider certification
  4. Land your first job as an entry-level data analyst.
  5. Complete a master’s degree in data analytics.

Q3. How important are data analysts in the modern world?

Data gradually reshapes the systems we use today and every day. Whether you use chat applications, Google to search, or Instagram to view your feed, you are doing both data creation and consumption at the same time. In the modern period, 2.5 quintillion bytes are produced every day.

Data analysts are needed to determine what to do with the abundance of data present in this situation. Businesses of all stripes rely on data analysts as experts. A data analyst brings value to businesses by collecting data on certain topics, interpreting it, doing in-depth analysis, and presenting the findings in comprehensive reports.

Data analysts are regularly expected to use their skills and resources to perform competitive research and identify market trends. To put it simply, a data analyst’s job is to use the data to help firms make better business decisions.

IIM SKILLS vs Jeetech Data Analytics Course Conclusion:

You are a special person, so your needs for a course will be different from those of other students. Because of this, it is essential that you carefully consider all of the specifics of each institution before choosing the one that is ideal for you.

Thus, it is evident that data analytics has recently risen to the top of the list of professions in demand in India. Companies are looking for qualified personnel to assist them in making sense of the data explosion brought on by the digital age. To meet this need, a plethora of data analytics courses have emerged, each promising to equip students with the skills they need to excel in this sector. The fact remains that not all courses are created equal, and some offer better placement support than others.

In conclusion, the above-mentioned courses are highly esteemed learning platforms that provide top-notch Data Analytics courses. Students can acquire hands-on experience and practical knowledge that will be beneficial in their careers by focusing on real-world projects and domain-specific topics. Depending on your requirements, choose the best course from the above-mentioned list.

So that’s the end of this blog. I hope the information this post has given you is sufficient to enable you to make a choice. Even so, it is advised that you read alumni testimonials students’ reviews, unbiased reviews, and of course the course material before making a choice.

IIM Skills vs LinkedIn Data Analytics Course- A Detailed Comparison

by | Nov 2, 2024 | Courses, Data Analytics, Institute Review

Looking for an institute that can help you meet the requirements to advance your career? Finding a legitimate education technology institute that supports your job ambitions can be difficult in the digital age. The top learning materials are provided in this post, making it the perfect choice for people thinking about taking professional courses. Welcome to IIM SKILLS vs. LinkedIn Data Analytics Course, where you will be given a full comparison of both institutes’ offerings in the field of data analytics. From there, it will be entirely up to you to choose which one would best help you progress your career and learn the necessary skills.

IIM Skills vs LinkedIn Data Analytics Course

Let Us First Discuss the Term From Which Data Analytics Evolved and That is Data.

What is Data?

In a nutshell, it’s the knowledge we require to move forward with any kind of commercial activity. Technically speaking, “data” is defined as information that is stored or used by computers, such as numbers, facts, or data.

The raw data is worthless until and unless it is subjected to analysis and analytics.

What Does Data Analysis Mean, in Other Words?

It is the analysis of data. The word “analysis” refers to the actions you perform with the information that is provided to you. Actions include reviewing the information, looking for the informatory components that you need, separating it into groups that make sense to you, filtering the valuable components etc. The whole lot of these processes is what referred to as “data analysis.”

Examples include predictive analysis, social network analysis, statistical analysis, and image analytics.

Analytics begins where the analytical parameters end. The field of data analytics includes all practical procedures such as looking for the best data, comparing various data sets, changing data in accordance with specific business objectives, mining the data to uncover the most insightful and profitable information, and visualizing hidden patterns. The field of data analytics includes a number of useful processes and tools like Tableau, Excel, Power BI, Apache Spark, KNIME etc.

It would be more accurate to say that “data analytics,” of which “data analysis” is a subset, is the general word for data analytics.

Why is Data Analytics Necessary?

Analyzing vast, intricate data sets to spot illuminating patterns and trends is the field of data analytics. To find patterns and make conclusions, it is necessary to use statistical and computational tools to data. Business problems are solved with data analytics, and choices are made based on the facts.

Data analytics are important for a number of reasons. There are several reasons why data analytics are essential. Several factors make data analytics vital. Data analytics are necessary for a number of reasons. Firstly, by offering information about consumer behavior, industry trends, and other important variables that have a bearing on how well a firm performs, it helps organizations make wise decisions. Likewise it gives businesses the ability to spot inefficiencies and areas for future improvement, which assists in the optimization of their operations. Thirdly, data analytics gives companies a competitive edge by providing insightful information on the behavior and market trends of rivals. Fourth, the use of data analytics is crucial in fields like finance and insurance, notably for risk management and fraud detection.

Aside from enhancing patient outcomes, data analytics are also applied in the healthcare industry to maximize resources’ utilization. Additionally, it aids governments in making wise policy decisions and the development of public services. To evaluate big data sets and uncover novel viewpoints on complex systems, data analytics is also used in scientific research. It is also used in social media and marketing to research consumer behavior and develop targeted marketing tactics.

As a result, we can certainly say that data analytics is a crucial tool for businesses, governments, and organizations of all types. It is a need. They may take well-informed decisions, streamline their processes, and acquire a competitive edge thanks to it. With so much data being generated today, data analytics is a rapidly expanding profession with a wide range of applications. As this trend continues, data analytics is anticipated to gain even greater significance.

Challenges Include: –

The collection of the data is arguably the greatest challenge recognized with data analytics. Organizations may gather a lot of data; therefore, they must decide which data to prioritize. Devices are needed for data collection that can compile information from site visitors, advertisement clicks, and other activities and transmit it in a useful format.

Once you have gathered your information you need a location/place where you can store your information. This can contain a variety of different types of data and occupy a lot of space. Coordination of structured and unstructured data from online and offline sources, as well as from internal and external sources, is required.

The phrase “data analytics” refers to a group of techniques for looking through data to find patterns and make inferences. It also alludes to the application of IT in these assessments.

Now that you are familiar with the idea of data analytics, it is crucial that you make an effort to understand this advantageous and difficult approach in order to succeed in life and advance your profession. You must research several courses and their advantages to do that. For your convenience, we are listing the top two institutes IIM SKILLS and LinkedIn Data Analytics Course that provides the best training and support you in achieving your life’s objectives. 

Also Read,

Let Us Discuss:

Overview of IIM SKILLS:

One of the top institutes for taking courses in data analytics is IIM SKILLS. It offers a variety of other courses as well, including financial modeling, content writing, technical writing, and digital marketing, all of which are well regarded.

Vaibhav Kakkar founded IIM SKILLS in the year 2015. There hasn’t been a moment of reflection since then. The speed of the institute’s growth remains steady. It has produced more than 35+ graduates in more than 35+ nations worldwide thanks to its ground-breaking work in real-world digital education. 

IIM SKILLS gives you the convenience of learning from any location in the world. There is no need to commute, which saves valuable time and energy. You can participate and join the live interactive sessions from anywhere. They provide a dynamic and engaging online learning environment that encourages cooperation and idea sharing. Through interaction with your peers and mentors, you can learn priceless insights that will aid you in your career.

Regardless of whether you have prior experience or not, their skill development courses are perfect for anyone who wants to start their profession or wants to change their career in the business. They are beginner-friendly.

You will receive continuing help from faculty members who are experts in their respective fields, enabling you to complete each module successfully and quickly or to find answers to any queries you may have as you move through the course.

IIM SKILLS will help you in creating your professional path through their placement assistance services after you have successfully completed all of your courses. Internships are assured, along with career advice, resume writing, interview preparation, and job recommendations are a plus point of this institute.

The Data Analytics Master Course at IIM SKILLS is a six-month curriculum that is exclusive, aside from the two-month internship guarantee. Their extensive instruction consists of nine modules, each of which has 100 or more hours of practical work and 150 or more hours of lectures. You also have the choice of picking a certain module to study based on your needs.

In order to give you practical experience, this professional course comprises 10+ case studies, 7+ tools, and 7+ live projects. To help you put your knowledge into practice and prepare you for the sector, they offer a two-month, optional, unpaid internship.

Since the course’s content spans basic to advanced concepts, both new students and fresh graduates may find great value in it. Additionally, it is advantageous for individuals who are already employed in this field or who wish to launch a new career in it. 

Course Modules of IIM SKILLS vs LinkedIn Data Analytics Course:

IIM SKILLS Course Module Name

Module 1: Basic and Advance Excel

  • Introduction to Data Handling
  • Data Manipulation Using Functions
  • Data Analysis and Reporting
  • Data Visualization in Excel
  • Overview of Dashboards

Module 2: Visual Basic Application

  • Introducing VBA
  • How VBA Works with Excel
  • Key Components of Programming Language
  • Programming Constructs in VBA
  • Functions & Procedures in VBA
  • Objects & Memory Management in VBA
  • Error Handling
  • Controlling Accessibility of Your Code
  • Communicating with Your Users

Module 3: SQL

  • Basics RDBMS Concepts
  • Utilizing the Object Explorer
  • Data Based Objects Creation (DDL Commands)
  • Data Manipulation (DML Commands)
  • Accessing Data from Multiple Tables Using SELECT
  • Optimizing Your Work

Module 3.1: SQL Server Reporting Services

  • Basics of SSRS
  • Creating Parameters
  • Understanding Visualization
  • Creating Visualization Using SSRS
  • Module 3.2: SQL Server Integration Services
  • Understanding Basics of SSIS
  • Understanding Packages
  • Creating Packages to Integrate
  • Creating Project Using SSIS

Module 4: Power BI

  • Introduction
  • Data Preparation and Modeling
  • Data Analysis Expressions (DAX)
  • Reports Development (Visuals in Power BI)

Module 5: Data Analytics Using Python

  • Introduction to Basic Statistics
  • Introduction to Mathematical Foundations
  • Introduction to Analytics & Data Science
  • Python Essentials (Core)
  • Operations with NumPy (Numerical Python)
  • Overview of Pandas
  • Cleansing Data with Python
  • Data Analysis Using Python
  • Data Visualization with Python
  • Statistical Methods & Hypothesis Testing

Module 6: Tableau

  • Getting Started
  • Data Handling & Summaries
  • Reports Development (Visuals in Tableau)

Module 7: R For Data Science

  • Data Importing/Exporting
  • Data Manipulation
  • Data Analysis
  • Using R with Databases
  • Data Visualization with R
  • Introduction to Statistics
  • Linear Regression: Solving Regression Problems

Module 8: Alteryx

  • Data Cleansing
  • Impute Values
  • Filtering Data/Data Processing
  • Blending/Joining Data from Different Sources
  • Overview of the Alteryx Course and Fundamental Concepts
  • Using the Select Tool to Rename Fields, Change the Data Type
  • Random Sample Understanding the Alteryx Settings and the User Environment
  • Recognizing the Alteryx settings and user environment

Recommend Read,

IIM SKILLS vs LinkedIn Data Analytics Course – Learning Outcomes:

IIM SKILLS:

  • Data Analysis, types of Data Analysis, data mining, etc.
  • Pulling, cleaning, manipulating, and analyzing data
  • Excel, Power BI, Tableau
  • Leveraging  Python language to manipulate datasets
  •  Data Analysis to foster business decision-making processes.

Acquired Skills from IIM SKILLS Data Analytics Course:

  • Acquire knowledge of the ideas of variables, conditions, loops, functions, etc. to write Python programs.
  • Develop your understanding of the Tableau model and statistics while learning how to create interactive dashboards.
  • Participants will become proficient after using Excel at business analytics.
  • Become knowledgeable with visualization tools including a heat map, tree map, waterfall, Pareto, and market basket analysis.
  • Data analytics performance can be comprehended using Python libraries.
  • Gain solid understanding of data interpretation in Python by utilizing NumPy’s multi-dimensional arrays, Pandas’ Data Frame management capabilities, and Scikit-Learn’s machine learning implementation.
  • Knowledge of classification techniques, linear and nonlinear regression models, and both in relation to Data Analysis.
  • Understand how to use Microsoft’s Power BI analytics and visualization tools.
  • Understand the intricacies of Python’s ideas, including as those related to lists, sets, contributions, branching, dictionaries, objects, and classes.
  • Be familiar with concepts in statistics such as central tendency, correlation, dispersion, and regression. Mastering SQL concepts like commands and tools.
  • Acquire knowledge of the ideas of variables, conditions, loops, functions, etc. to write Python programs.
  • Become knowledgeable about clustering techniques including K-means, DBSCAN, and hierarchical clustering.

Other Professional Courses With IIM SKILLS:

Overview of LinkedIn:

LinkedIn is the largest professional-only networking site, which caters to businesspeople. There is a comprehensive roadmap series of free online courses that will teach you basic to advanced data analysis skills. You may get ready for an entry-level data analyst job for sure by taking the entire data analyst learning section on LinkedIn Learning, which is completely free. It offers unrestricted access to the library. They have expert-led courses offering comprehensive courses that can be accessed on any device in bite-sized chunks. They offer certificates upon course completion.

LinkedIn’s focus on networking is one of its primary characteristics. It also provides a variety of tools and features that make it a fantastic ed-tech platform for professionals in a variety of fields, including

  • recruitment and job-search
  • the professional development
  • Industry news and updates
  • assemblages and communities
  • Company pages 
  • sales and business growth

Professionals can access a variety of tools and resources on LinkedIn, a flexible ed-tech platform, to advance their careers, increase their knowledge, and network with others in their industry.

On the LinkedIn learning sites, you may find a number of data analytics instructional videos. By using these, you can stay current on the most recent advancements in industrial skills and practices. I advise you to keep an eye on these quick courses and continue to learn new things throughout time.

LinkedIn Learning offers extensive data analytics courses across 13 categories, providing a comprehensive experience for individuals seeking to develop skills in various fields which is why it is regarded as the best platform for free education right now.

The LinkedIn Learning data analyst learning path is a collection of courses that are organized to give you a comprehensive education. Their course path focusses specifically on Excel and Power BI, the study route has a similar scope to that of Google’s.

The fact that statistics modules are included in this course series, is a bonus for students who want to improve their math skills for analytics. This course is best for people who want to learn about a variety of data analytics tools, but with a stronger emphasis on Microsoft goods.

Below is the list of LinkedIn data analytics courses available to obtain a certificate.

Course Modules of LinkedIn:

Course 1: The Non-Technical Skills of Effective Data Scientists

  • Imperative non-technical skills

Course 2: Learning Excel: Data Analysis

  • Basic statistics in Excel
  • Visualizing data
  • Hypothesis testing
  • Using distributions
  • Covariance and correlation
  • Bayesian analysis

Course 3: Data Fluency: Exploring and Describing Data

  • Descriptive statistics
  • Data fluency
  • How to use the most common chart types

Course 4: Learning Data Analytics: 1 Foundations

  • Basic SQL
  • Importing and cleaning data
  • Creating and maintaining datasets
  • Intro to Power Query

Course 5: Learning Data Analytics Part 2: Extending and Applying Core Knowledge

  • Working with business data
  • Building datasets with queries
  • Building pivot tables
  • Intro to Power BI
  • Presenting data in meetings

Course 6: Excel Statistics Essential Training: 1

  • Types of data
  • Probability
  • Central tendency
  • Variability
  • Analysis of variance (ANOVA)
  • Distributions
  • Estimation
  • Correlation
  • Hypothesis testing
  • Repeated measure analysis
  • Regression

Course 7: Predictive Analytics Essential Training: Data Mining

  • Defining problems
  • Cross-Industry Standard for Data Mining (CRISP-DM)
  • Understanding data requirements
  • Problems and solutions you’ll face with data
  • Deploying models

Course 8: Power BI Essential Training

  • Getting data into Power BI
  • Reports and visualizations
  • Creating dashboards
  • Sharing data
  • Power BI mobile

Course 9: Learning Data Visualization

  • Storytelling
  • Information hierarchy
  • Interactivity
  • Visual paradigms

Course 10: Tableau Essential Training

  • Creating custom calculations and fields
  • Managing data sources
  • Tableau worksheets and workbooks
  • Creating dashboards and actions
  • Analyzing data in Tableau
  • Mapping geographic data

Course 11 SQL: Data Reporting and Analysis

  • Grouping SQL results
  • Using SQL to report data
  • Merging data
  • Some advanced syntax

Course 12: R Essential Training: Wrangling and Visualizing Data

  • Intro to R and RStudio
  • Importing data
  • Visualizing data in R
  • Wrangling data
  • Recoding data

Course 13: Data Cleaning in Python Essential Training

  • Bad data
  • Causes of errors
  • Detecting, preventing, and fixing errors

IIM SKILLS vs LinkedIn Data Analytics Course- Learning Outcomes:

LinkedIn:

  • Identify different types of data.
  • Explain how data is cleaned.
  • Describe how to model data
  • Identify the abilities of a data analyst.
  • Implement SQL statements with the proper syntax.
  • Interpret existing data.
  • Demonstrate how to use joins.
  • Review types of data visualizations.
  • Explore concepts relating to data analytics.
  • Recognize duplicate and reference data sets.
  • Describe how wildcard characters are used when creating queries.
  • Describe how slicers are used.
  • Define terminology used in creating visualizations.
  • Identify licensing and permissions considerations.

Acquired Skills from LinkedIn Data Analytics Courses:

  • Acquire the nontechnical skills necessary for excellent data scientists to grow their first job into a lucrative, lifelong profession.
  • Gain proficiency with Microsoft Excel for data analysis.
  • Acquire a fundamental grasp of data fluency and the role that data may play in decision-making.
  • To learn statistics, use Microsoft Excel.
  • Develop practical skills in using data mining and predictive analysis to solve problems.
  • Learn to utilize Power BI, a powerful set of business analytics tools, to create and share visualizations within your organization.
  • Utilize data visualization to effectively communicate complex ideas and engage your audience with creative and engaging designs.
  • Discover how to effectively use Tableau 2023 for data analysis and display, enabling smarter, data-driven decisions.
  • Learn to write SQL code for analysis and reporting, including basic queries, sorting, filtering, and joining results from various tables.
  • Gain proficiency in using R, the programming language that powers modern data science, to effectively manage data and create insightful visualizations.
  • Enhance your organization’s analytic workflow by enhancing your Python data cleaning skills.

So, these were the focal points of each institute. Both of their course offerings are quite comprehensive and educational. IIM SKILLS offers a 6-month course, whereas LinkedIn offers content in sections. However, both of their alumni reviews are fantastic.

It is entirely up to you to choose the course that will best serve your needs.

Frequently Asked Questions Related to IIM SKILLS Vs LinkedIn Data Analytics Course:

Q1. What objectives does data analytics serve?

Data analytics aims to use statistical analysis and technologies to identify trends, solve problems, and improve decision-making in enterprises by analyzing and shaping business processes.

Q2. Is paying required for LinkedIn analytics?

You may see how many people have visited your profile and how often you have shown up in searches on the platform for personal profiles. However, the information is not accessible to paid customers, only to free ones. For your page, LinkedIn provides post statistics.

Q3. Are LinkedIn Learning’s data analytics courses worthwhile to take?

LinkedIn provides a selection of courses at all ability levels, from beginner to advance to advance your skills in data analytics. The flexible learning approach provides a manageable learning experience, much like many online courses do. LinkedIn Learning’s monthly membership is also a wise choice if you want to continuously developing your skill set.

Conclusion related to IIM SKILLS vs LinkedIn Data analytics Course:

So, that’s all with the comparison between IIM SKILLS and LinkedIn Data Analytics Courses. Every platform, though, has benefits and drawbacks, so it’s important to consider your learning preferences and career goals before choosing a course. This article should assist you in choosing the best path for job progression. To determine which one is best for you and then come to a decision, you can also look through the alumni testimonies and other crucial considerations.

The process of learning data analytics might be difficult. But students can acquire hands-on experience and practical knowledge that will be beneficial in their careers by focusing on real-world projects and domain-specific topics. 

Good luck and have fun.

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