IIM SKILLS vs. Loyola College Chennai Data Analytics Course

by Priyanka Sharma | Jul 2, 2025 | Courses, Data Analytics, Institute Review

Do you want to shape your career in the technical field and are looking for one of the most trending options? Data Analytics and Data Science are some of the most lucrative and trending options in the technical area. In this frequently growing technical world, you must witness the jobs in Data Analytics and Data Science constantly growing due to its required technical field, and the use of analysis tools is in demand for business. This article- IIM SKILLS vs. Loyola College Chennai Data Analytics Course will help in your search for Data Analytics courses and data Science courses and education institutions. Loyola College offers a data science course and hence we are going to make a detailed analysis of the two courses so that you can make an informed decision regarding which of the two data courses to enroll in. 

Businesses have started recognizing the growing need to understand and manage the data they are generating in business and the demand for continuous progress. This regular demand for data management catalyzed the need for data scientists and data analysts to continue the growth. Interested students in a data analytics and data science career will work on data modeling, statistics, programming, and other analytical tools. Although data manipulation is a part of both the data science and data analytics professions, they are distinct from each other.

Data Analytics vs. Data Science

Businesses are using data analytics and data science to make better decisions, boost productivity, and maximize the company’s profitability.

Data Analytics

Data analytics experts are in demand for being responsible for data compilation, systematic classification, and maintenance, as well as obtaining insights from data through using several technical tools such as statistics, mathematics, programming, and other approaches. A data analyst’s job is to identify trends and support different problem-solving. Order tracking, recommendation, and other identification are all examples of data analytics in retail.

Data Analytics is the statistical analysis of current data records to solve recent problems. It intends to deliver outcomes that will result in quick changes. Data analytics combines several forms of data to detect diverse connections and streamline results.

Data analysts typically respond to decision-makers’ demands rather than driving the decision-making process.

Essential Data Analytics components:

The following are the primary components of data analytics:

Mining

Data mining is one of the most important components of comprehensive data analytics. It is one of the core elements since it employs cutting-edge analytics methods to reveal the most important features of data sets. Data mining is essential for successful analytics projects in enterprises. Real-time analytics systems that analyze streaming data as it is created or collected, as well as business intelligence (BI) and advanced analytics tools that evaluate and show earlier data, are produced by the data.

Cleaning

Data cleaning is the most important resource for machine learning and analytics. Data is essential in both the corporate and technology industry. In the computer software industry data mining works as a key component. Data cleaning, also known as data cleansing or data manipulation, is an important step in the data analytics pipeline. Data cleansing entails more than just removing inaccurate data.

Modeling

Data modeling is the process of storing information, mapping, and visualizing the complete technique for consistent data usage. Data modeling is used by organizations to explain the many types of data they use, the links between them, and how to organize them. Data modeling is a technique for optimizing data to improve how data moves around businesses for varied business demands.

Data Analysts’ Jobs and Responsibilities

A Data Analyst is proficient in gathering data from many sources and compiling it. Data is generated by businesses in the form of records, customer feedback, transaction data, and so on. Data Analyst is responsible for turning business-driven data into meaningful insights. Data analysts analyze data sets by using different approaches of data manipulation techniques to assist businesses in better or more intelligent decisions. 

Job Description 

• Report Distribution
• Trend analysis
• Collaboration with Stakeholders
• Consolidating data and establishing infrastructure

Data Science

Data Science works with unstructured data and focuses on discoveries and projections. Data analytics seeks patterns and conclusions by analyzing previously arranged and collected data. Although Data Science is a broader term, it includes Data Analytics to discover new ideas and address analytically difficult business problems utilizing advanced approaches such as machine learning and predictive algorithms.

Data Science is an interdisciplinary field that extracts insights and knowledge from big and complicated data sets using statistical, mathematics, and computer science tools. It tries to answer future questions and solve issues by analyzing massive amounts of structured and unstructured data. Data science is used in a variety of industries, including healthcare, finance, marketing, and operations management, and it is always expanding because of the massive amount of data collected every day.

Essential Data Analytics components:

The following are the primary components of data analytics:

Statistics

Statistics are essential in a Data Scientist’s daily operations and can be considered one of the Data Scientist’s necessary skills. Simply put, statistics examines a set of data for notable trends. It is divided into two sections: descriptive statistics, which attempt to explain trends in existing data, and inferential statistics, which attempt to develop estimates about future data.

Visualization

Data visualization requires comprehending raw records and determining what needs to be exhibited based on the objectives and goals of individuals utilizing it as well as the processes, not just effectively presenting processed data. It improves discoveries, accelerates decision-making, boosts the capacity to keep consumers’ attention, evolves away from the requirements for data scientists, and simplifies the distribution of generated information. 

Machine Learning

Machine Learning is a vitally important part of data science since it allows self-learning computers to accurately foresee natural behavioral patterns in specific contexts. Machine learning is the process of using algorithms to collect data, analyze it, and anticipate future patterns for a subject.

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Data Scientists’ Job Responsibilities:

Data Scientists are those experts who comprehend business difficulties and attainability to devise the finest solutions by using advanced technologies and alternative methodologies. To envision forecasting summaries and handle complicated problems, they employ statistical methodologies, significant approaches, data visualization tools, and machine learning systems. Data Scientists extract beneficial, critical information and insights for corporate leaders and other contributors.

Data Scientists use statistical approaches, data visualization tools, and machine learning blueprints to build prediction models and solve complex issues. Data Scientists extract useful information from unstructured and chaotic data. They also provide crucial facts and insights to company executives and other parties.

Data scientists are altogether problem solvers. They aim to identify the issues that require solutions and then devise various techniques to solve the problem. Daily, a data scientist may be responsible for the following data-related tasks:

• Data extraction
•  Merging and analysis
• Trends, patterns, and predictions
• To execute the design of different mechanisms and technologies for a wide range of information by using Tableau, Python, Advanced Excel, and others.
• Simplify data and the modern development complexity of certain models 
• Concepts of data visualization 

Equivalence of Data Analysis and Data Science

• Data visualization: Data visualization techniques are useful in communicating data findings and observations in a visual and intelligible style.
• Machine learning: Machine learning correlates in both Data Science and Data Analytics to construct forecast models and get in-depth observations from data.
• Data-driven insights: To draw insights and make more informed conclusions, both fields are highly dependent on data analysis and interpretation.
• Approaches: Statistical approaches and techniques are used in both Data Science and Data Analytics.
•  Data Science and Data analysis both professions include the exploration and evaluation of massive data to discover market moves, patterns, and variations.
• Programming: To deal with data analysis, Data Science and Data Analytics require a good command of programming abilities in languages such as Python or R.

Data scientists and data analysts both roles are both equally essential for business, but the level of experience and expertise decide any professional’s key roles and responsibilities in industry and organization.

IIM SKILLS vs. Loyola College Chennai Data Analytics Course & Data Science Course

IIM SKILLS

IIM Skills is an online education site, which provides several professional courses globally to students who have a desire to learn from home/anywhere in their comfort zone. Students can explore various skills development courses. IIM Skills growing its global reach to provide in-depth knowledge about different professional skills for aspirants.

The Data Analytics course from IIM Skills will equip beginners/working professionals with the fundamental theoretical, technical, and practical efficiency required to become an expert data analyst. With an expert faculty, students will have access to lifetime study materials and guidance from industry specialists. Students will get an opportunity to work on real-life business cases with software tools to prepare for a career in data analytics after course completion.

The Data Analytics course modules have been designed with the help of well-qualified industry experts and professionals; these experts will conduct classes. Students will get their help to explore advanced technical tools in data analytics. Students will get knowledge of subjects including basic finance, mathematics, statistical modeling, and the fundamental structure of forecasting. Students will have the chance to develop their basics by asking regular questions in class or off class so that they can get good opportunities after course completion.

Objectives of IIM SKILLS

Studying Data Analytics from IIM skills will provide learners to achieve exposure to industry methods and real-life case scenarios:

• IIM Skills offers an online platform for its learners, be they students, professionals, homemakers, or people desiring to switch their careers. They can attend their classes at home or anywhere. It reduces unnecessary travel stress and time.
• IIM SKILLS prioritizes assisting its students in the best possible way and letting them understand the primary tools required in the data analytics business. As a result, students will have the necessary tools and software skills.
• Students will be able to distinguish themselves and contribute to demonstrating their professionalism in work. It will allow you to maximize both your untapped potential and the value of your data drilling.
• The Data Analysis course at IIM Skills will provide abilities to establish a path for students to build industry-relevant crucial and contemporary skills to grab the opportunity to find lucrative jobs in a respectful work environment.
• IIM Skills designed the syllabus to allow their applicants to completely educate themselves with knowledge of many different technology-related sectors. Furthermore, the course emphasizes the use of software tools and methodologies to address real-world business problems.

Course Module:

• An Introduction to R 
• Data import, data manipulation
• Introduction to data handling
• Basic graphical methods and numerical summaries
• Writing simple reports of data analysis 
• Basic concepts of statistics (inferential statistics)
• Introduction of graphical summaries and numerical summaries (mean, median, standard deviation, and correlation)
• Introduction of Power BI; it is a Microsoft cloud-based analysis service
• Introduction of Tableau; It is a business intelligence application for analyzing and displaying data, assisting in dashboards, charts, graphs, maps, etc.
• Introduction of Excel for data addition, tracking patterns, market trends, and other data management.
• Python; language programming python for data management and manipulation of data structure.

IIM Skills offers a most demanding course in data analytics with a trial demo option to learn and evolve the career of their learners in new technology. Master certification in Data Analytics will provide interactive sessions and discussions in live classrooms by professional teachers. The teaching methodology of IIM Skill is unique; it provides special guidance to its students if required. Students can connect with their mentors/teachers anytime for their questions or career-related dilemmas if they require it. Students will get internships, career guidance regular job referrals, etc.

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Loyola College Chennai

Loyola College started the Data Science department in June 2019. Loyola College Chennai aims to provide inclusive and empowering learning opportunities to promote scientific curiosity for effective social transformation, platforms, and resources for the creation and sharing of innovative knowledge. The institution helps students develop a sense of responsibility and employability skills.

Loyola College Chennai offers an M.Sc. (Data Science) Programme to provide students with comprehensive knowledge and exposure to data science in flourishing technology. The PG Programme will lay a theoretical framework for students to develop their foundational ideas. 

Data science expertise and customized technical learning will help in extracting insights from very big data sets.

Objectives of Loyola College

• To develop Work ethics, and analytical, logical, and problem-solving critical abilities for executing professional skills and becoming experts in the field of data sciences.
• To gain access to academic facilities in an inclusive and inquisitive environment for effective and immersed learning throughout life to achieve greatness in the chosen subject of computational sciences. 
• To think creatively, analyze scientifically, and make sound decisions to address modern global issues using the knowledge gained in the computational sciences curriculum. 
• To succeed in fast-growing modern technical approaches and compete in higher career prospects by addressing contemporary difficult problems with ease.

Course Module

• Fundamentals of Data Science
• Fundamentals of Mathematics
• Probability and Statistics
• Use of Python in Data   Science
• Machine Learning
• Statistical Inference
• Understand Big Data Analytics
• NoSQL Database
• Market Analytics
• Health Analytics
• Research & Variety of Data Analytics
• Deep Research
• Apply Cloud Computing
• Visualization

Intent of Data Science Program

• Students will be able to identify, analyze, and resolve data analysis problems by using relevant skills like mathematics, Statistics, computing sciences, and fundamental principles of other disciplines.
• Students will be able to acquire all necessary skills in handling data analytics problems. They will acquire programming tools and languages.
• To Understand the professional ethics and cyber rules & regulations, liabilities, and other standards of professional computing applications.
• Learners will be aware of the statistical approaches and applications to resolve factual problems by using data analysis.
• To master the advanced theory of Big Data and apply the mechanism to design a program to achieve analytical skills that assist in business decisions and planned goals.
• Prospective employees will be skilled Data Scientists in the industry by achieving expertise in all contemporary software tools and applications for data analysis, storage, and visualization.
• Beginners will get the research-based knowledge to apply, and analyze to solve crucial and advanced issues by using data managing methods.

This degree course is known as M.Sc (Data Science). The college has appointed experienced staff members with the best qualifications in their respective fields of specialization and market expertise. Data science can be used to help citizens and the country in a variety of fields, including finance, healthcare, education, and even security and governance.

Students will have regular class interactions, and the PG Programme will include many guest lectures from industry leaders, extensive lab work, and discussion of various business case studies. Students will participate in an internship program at the end of the second semester and complete a major project in the fourth semester.   

Conclusion of this read IIM SKILLS vs. Loyola College Chennai Data Analytics Course & Data Science Course- An Inclusive Courses Comparison.

Data science vs. data analytics has always most talked about topic among students. Data science and data analytics are equally important around the business world and could lead young professionals to achieve excellence in their careers. Understanding the distinction between data science and data analytics can assist you in making the best decision.

In this article, we have covered the difference between Data Analytics and Data Science, essential components, and course modules, and discussed two educational institutes. IIM SKILLS is an online platform, that provides Data Analytics courses on the other hand Loyola College is an offline regular college; that provides Data Science degree courses. Both educational institutions have well-qualified faculty members from relevant industries and provide placement and internship help to their students. IIM Skills and Loyola College, both institutions offer various courses to their students so students can excel in their desired career fields and have amazing career opportunities.

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Frequently Asked Questions (FAQs) on IIM SKILLS vs. Loyola College Data Analytics Course

Question 1) Can a candidate without a technical background acquire analytics skills?

Answer: Yes. A candidate without a technical background can learn data analytics and data science courses. With a keen interest in logical analysis and business, any student with whatever background is an ideal candidate for data Analytics and science.

Question 2) What are some lucrative job roles in data science?

Answer: Data Scientists are in demand not only in technology but in all major industries. Data science career options are extremely lucrative and diverse. Choosing a career in data science will provide young or experienced professionals with a variety of career options and job titles.

Data Scientists- This is an important role in all major industries. Data scientists should have in-depth knowledge of statistics, and different programming languages for complex problem solving. Data Scientists can illustrate the insights of any data in a manageable method to be acknowledged by everyone.

Data Engineer- Data Engineers are the backbone of the industry as they work with the organization’s core to create, design, and manage a massive database structure. They are responsible for constructing data pipelines and managing data flow to ensure that data reaches the appropriate sections of the organization.

Business Analyst- A business analyst is responsible for analyzing data to maximize the company’s efficiency and generate more revenues. Their role is more technical as it requires a greater understanding of contemporary mechanisms to link business and IT for improvement. 

Marketing Analyst- A marketing analyst’s job is to examine and recommend the manufacturing and marketing of products and services in large quantities. They work to monitor customer satisfaction and rate their satisfaction. It helps businesses to improve products and services. 

Machine Learning Engineer- A machine engineer optimizes data and operations. A machine engineer works to draw patterns and implement systems based on research to optimize machine learning algorithms and the performance of tests.

Question 3) Which career option is good; is data science or analytics?

Answer: Data analytics emphasizes the existing data review and working with data observations to resolve complex business issues. The data analyst’s job is to decode the real problem and coordinate with different employees to uncover the findings and collect observations.

A data scientist works to know the source of the existing data to optimize data through a system. Interested candidates in more technical knowledge like machine learning and data modeling, probably like a career in data science. 

Whatever career path candidates choose, must keep in mind that organizations value both data scientists and data analysts. So, choose accordingly and keep in mind that both have a robust job market.

IIM SKILLS vs Dataquest Data Analytics Course – Detailed Review

by Sana Aijaz | Jul 2, 2025 | Courses, Data Analytics, Institute Review

Looking to work in data analytics? Ecstatic to step inside this enormous hub, where one can push their exploration to the extreme if they choose so. Careers in data analysis are booming in the Big Data era. Even though beginning your journey into data analysis may seem scary at first, with the right resources and guidance, you can develop the skills and knowledge needed. In order to get help with this, you are encouraged to read this post, IIM SKILLS vs Dataquest Data Analytics Courses. You may get in-depth professional guidance here while learning everything there is to know about data analytics. You’ll learn more about these two esteemed universities and their cutting-edge features as well.

Since data analytics goes beyond merely “getting data,” it might be difficult to impart knowledge in an instructional environment. Other aspects of data analytics, however, are more easily understood and relate to knowledge that the majority of us already have in our daily lives. Simply said, data analytics is the use of statistics and measurements to a phenomenon that is unclear or ambiguous in order to get a deeper understanding.

The Uses of Data Analysis

The following are a few of the common uses for data analysis:

Better Healthcare Provider

Hospitals and healthcare facilities are able to foresee the early start of chronic diseases with the help of data analytics. They can foresee ailments that could develop in the future and assist patients in acting quickly to cut down on medical expenses.

Analytics for Fraud Detection and Risk

Data analytics is often used in banking to examine unusual transaction and client information. In order to reduce losses and stop fraud, banks also utilize data analytics to examine loan defaulters and credit scores for their clients.

Optimization of Transport Routes

To enhance routes and rates for their customers, businesses like Uber and Ola fully rely on data analytics. They use an analysis platform to find the ideal route and calculate percentage increases and decreases in taxi fares based on a variety of variables.

Improvement of Search Results

Companies like Google use data analytics to provide users with search results based on their interests and search history. In order to offer its customers the best accommodations, companies like Airbnb also use search analytics. Search analytics are being used by companies like Amazon to provide their customers with personalized recommendations.

Enhanced Logistics

For supply network analysis and to reduce logistics latency, several organizations employ big data analytics. Amazon examines customer needs using consumer analytics, then promptly sends the appropriate products to them.

Limiting the Amount of Energy Used

The amount of energy utilized by households and businesses is being monitored by public-sector energy corporations using data analytics. They are adjusting the energy supply to take into consideration usage trends in an effort to save money and reduce energy use.

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Beginner’s Advice for Getting Started With Data Analytics: 

• Participate in online networks and forums dedicated to data analytics to gain expert advice and have discussions on related subjects.

Practice with real-world datasets and APIs to learn the ropes and improve your problem-solving abilities.

• The fundamental concepts can only be understood by someone with a strong background in mathematics and statistics.
• Acquire some programming skills in languages like Python or R that are commonly used in data analysis.
• By using blogs, webinars, and trade publications, you may keep up with the latest technologies, techniques, and trends.

IIM SKILLS

IIM SKILLS offers a 6-month Data Analytics course with a guaranteed interview and unpaid internship, covering 100+ hours of practical assignments and 160 hours of lectures. With seven or more active projects and ten or more case studies, they have a strong reputation in tool-based, hands-on learning. You will learn how to use 7+ tools in this course, including Excel, Python, Tableau, and SQL. A Master credential is given upon successful completion of the program. 

 Key Features of This Course Are:

The course covers seven real-world projects with well-known industries and more than ten case studies.

Students may enroll in the institute’s 2-month internship program when the course is completed. Students receive support with challenges and problem-solving as well as practical knowledge of all the ideas they have acquired in class. This guarantees that the pupils are well-equipped to handle the situation in the actual world.

The students get lifetime access to the Learning Management System (LMS), in which all the taught content, video recordings, and other material are archived.

Students have the chance to interact live with mentors and trainers who have a broad industrial background. 

The institute provides full placement assistance as well as help with resume preparation.

Anyone who is fresher, UG, graduate, post graduate or from any professional background is eligible to apply for the course.

IIM SKILLS give you the convenience of learning from any location in the world. You can chip in and attend the real-time interactive sessions from anywhere, doing away with the need to commute and conserving valuable time and energy. They provide a dynamic and engaging virtual classroom that encourages cooperation and idea-sharing. You can interact with your peers and mentors and gain important insights that will aid you in your career as an investment banker.

IIM SKILLS provides a free demo session so that potential students can get a feel for the course format, the mentor’s teaching approach, and the session velocity. When you feel comfortable with the demo session, you can enroll yourself in this excellent data analytics education program.

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Dataquest: 

Dataquest is a data science bootcamp that offers free introduction courses, skill routes courses, and career path courses, the latter of which may be finished in around 45 weeks. Instead, then using video lectures to teach, Dataquest uses hard exercises and real-world projects to help students develop the skills they need to advance their careers. Experts in the industry serve as the instructors, and Dataquest collaborates with leading institutions and educators worldwide to create their courses.

To teach students how to think and solve problems like a data scientist, Dataquest uses interactive, hands-on coding challenges and projects. 

From day one, students construct comprehensive projects using real data. A project portfolio that showcases the students’ data talents will be developed. Courses on skill routes, career paths, and free beginning courses are all included. In order to help students effectively gain the skills they need to grow their career; Dataquest teaches through tough activities and real-world projects rather than through video lectures. Experts in the industry serve as the instructors, and Dataquest partners with premier institutions and educators worldwide to create their courses. Dataquest gives students everything they require to launch a new career in the career path courses, including obtaining a route certification by finishing a capstone project. Students in the skill pathways courses can easily add in-demand talents to their resumes while gaining confidence by completing activities and projects that are applicable to the real world.

IIM Skills vs Dataquest Data Analytics Course

Dataquest is a different source of data-specific courses that offers a huge array of practical data science courses. Despite having a monthly subscription basis, Dataquest offers part of its information, including practice problems, for free.

Courses are helpfully organized by job and skill path (as well as by programming language), allowing you to focus your instruction. However, if you want a completion certificate or ad-free access, you’ll have to pay a monthly fee.

They list courses in topics including Python for data science, introduction to SQL, databases, and R data structures. There ought to be enough to get you going.

Comparison:

Dataquest is a self-paced data analytics program that runs on monthly/yearly subscriptions entirely in online platform. Contrarily IIM Skills also is self-paced data analytics program but it has a charge of INR 49900 excluding taxes.

Dataquest offers multiple career tracks which include portfolio projects and a focus on either R or Python. IIM Skills also offers multiple courses including Data analytics with R and Data analytics with Python and many more.

Their new career paths get you job-ready in 3-9 months and grants you a certificate. On the contrary, IIM Skills offers all of its courses a 100% guaranteed interview with placement assistance.

Comparison of Syllabus: IIM Skills vs Dataquest Data Analytics Course

Comparison of Tools: IIM SKILLS vs Dataquest Data Analytics Course

 Comparison of Fee Structure: IIM Skills vs Dataquest Data analytics Course:

Comparison of the Course Modules of IIM Skills vs Dataquest Data Analytics Course:

Comparison of the Learning Goals: IIM Skills vs Dataquest Data Analytics Courses:

IIM SKILLS offers an extensive yet thorough curriculum that is both current and pertinent. The curriculum is regularly updated to reflect the most recent developments in the subjects. The high-quality curriculum offered by IIM SKILLS includes all the necessary elements for career advancement. Paid internships that give you a sense of how things function in the real world serve as a way to put your knowledge to the test. You’re motivated by the internships to go above and above and be your best selves.

The rigorous IIM SKILLS course curriculum includes case studies, practical assignments, special modules, and a wealth of learning materials to facilitate learning. The offered slides, presentations, and notes make it easier to retain material and allow one to enjoy studying rather than memorizing everything mechanically.

With more than 35000 graduates, IIM SKILLS is a reputable Ed-tech educational institution that provides adequate student support, including problem-solving, academic counseling, soft skills training, resume preparation, placement assurances, internships, and other varied career progression services. Even though the course has long since concluded, IIM SKILLS is known for providing exceptional support to its students. The after-course support is one of the distinguishing features that makes IIM SKILLS stand out as one of the most reliable schools. 

A crucial component of the institute that is available to students for free and for the rest of their lives is the Learning Management System. Once you sign up for the course, you have access to their e-portal. The previous batches’ video recordings are available here, together with study materials, instructions, and schedules for the upcoming classes.

You can post questions and concerns to the support desk any time of day or night. All inquiries are answered 48 hours after they are posted. IIM SKILLS offers practical, technology-driven courses for students to become tech-savvy and confident in handling complex business decisions. It also provides soft skills training, resume preparation, and mock interview sessions, ensuring students build a strong foundation for their careers.

Dataquest is an online learning environment focused on projects that provides useful tasks. Students have access to more than 70 courses, 5 skill tracks, and 6 career options.

The career paths emphasize on real-world projects, such as data analysis with Python. Depending on your choice, a career path can be completed in eight months at five hours each week. It is a self-paced program with 17 projects and 27 courses that is suitable for beginners.

For instance, the career path for business analysts has 15 courses, one of which covers SQL data extraction. At a pace of five hours per week, it takes students four months to complete eight projects.

The career track for data scientists involves ten months of study time at a rate of five hours per week and consists of 38 courses. In addition to installing Git and integrating GitHub, students will complete 26 projects.

Learners can join to access free initial lessons. An annual subscription of $399 or a monthly cost of $49 is required to upgrade to Dataquest’s premium membership.

So, Dataquest is one of the most well-liked platforms for learning interactive data science. Their instructional approach and project-based learning style are quite effective even though they don’t have videos for every topic.

This concludes the comparison of the two leading providers of data analytics courses. I hope the preceding comparison of IIM Skills vs. Dataquest Data Analytics Courses will be sufficient for you to make an informed decision regarding the best institution to attend in order to develop your career through the study of data analytics.

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Frequently Asked Questions Regarding IIM Skills Vs Dataquest Data Analytics Course:

Q1. When searching for a job in data analytics, which is more important: experience or course certification?

Impressing hiring supervisors with relevant experience is a terrific way to stand out, yet gaining experience typically happens after receiving a degree. You must first enhance your skills with analytics tools if you want to contribute to an open-source project or get an internship so that you can add experience to your resume. Courses are a wonderful method to do this.

Q2. Do I Need a Data Analytics Course to Get a Job?

A data analytics course is a terrific method to receive a formal education in data analytics and show off your abilities on your data analyst CV, but it’s not the only approach to launch your data analyst career. If you’ve developed the abilities required to secure an entry-level position, you can demonstrate them by building a portfolio and acquiring experience in the field.

Q3. How do I begin using data analytics?

In order to understand the quantity and quality of the data you hold, where it is housed, and what significant business questions you would like answered, we have found that a data discovery workshop works effectively as a starting point.

Collaborate with a data partner.

Among the outsourced analytics projects that Objective’s team of data scientists works on include consulting, proof-of-concept work, the creation of visualisations, and Power BI Dashboards. We can also supplement the technical staff you already have in-house with new skill sets.

Conclusion on IIM SKILLS vs Dataquest Data Analytics Course:

Ultimately, the decision between IIM SKILLS vs Dataquest comes down to what career you’re pursuing. Both offer the best of their facilities to an extent.

Compared to Dataquest, IIM Skills offers a lot more alternatives. As a result, Dataquest may offer you a career path that suits you better.

Both sites also provide simple payment options. IIM Skills, on the other hand, demands a one-time payment up front, whereas Dataquest provides monthly, annual, and lifetime alternatives. 

Adding data analysis to your skill set can only be a good thing, no matter what career route you’re on. Data analytics is quickly becoming an essential job talent as the labor market changes to meet the demands of the twenty-first century. Stay ahead of the game!

Wish you all the best for your future.

IIM SKILLS vs. KPMG Data Analytics Course – A Comprehensive Review

by Swati Varli | Jul 2, 2025 | Courses, Data Analytics, Institute Review

As business data collecting expands and becomes more sophisticated, it is obvious that they want to use that data, and data analysts are at the forefront of this trend. Numerous reputable colleges and institutions across the globe provide certificate or degree programs in data analytics. By enrolling in courses on the topics, you may quickly lay your foundation to get started in this field. 

We have chosen the best reputable data analytics courses from IIM SKILLS and KPMG. Both of the institutions have their own way of providing their education in this field. Here, in this article, we will see the comparison of IIM SKILLS vs. KPMG data analytics course review. You may choose based on your preferences or budget.

What is Data Analytics?

Many individuals are unfamiliar with the term “Data Analytics”. It simply refers to all the procedures and tools needed to analyze a collection of data and draw significant conclusions from it.

The word analytics covers a wide range of techniques and methods for data analysis. To advance your career as a data analyst, the whole course in data analytics will provide in-depth information in this field.

Analytics business tools can be quantitative, like statistical tools or software, or qualitative of life surveys in the medical area. They separate valuable data from irrelevant data, extract useful data, and then divide and analyze data to identify patterns and numerical statistics that might support a lucrative change.

In all big organizations, data analytics is a crucial part of developing strategies since it helps in forecasting consumer trends and behavior, boosting corporate efficiency, and making choices that are supported by facts.

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What Does a Data Analyst do?

• The main responsibility of data analysts is to gather and analyse data, spot trends, and patterns, and offer insightful recommendations based on the findings.
• Another key responsibility for those who operate in a commercial environment is to inform stakeholders of the results and facilitate data-driven decision-making.
• Any position as a data analyst requires the use of statistical techniques and tools for data visualization. 
• The aims, sector, and major function of the organization all affect the job requirements for the data analyst.

Skills Required Being a Data Analyst

A data analyst’s skillset should be diverse, spanning from creative thinking and attention to detail to good communication, as data analysis is ultimately about extracting and expressing the knowledge contained in data. Some of the necessary soft skills are listed below:

• Good Attention to Detail
• Creative and Analytical Skills
• Problem-Solving
• Communication Skills
• Team Work
• Ethical Judgement
• A Mind for Math and Numbers

However, the technical skills necessary to become a data analyst, which starts with a firm grasp of a few essential programming languages, are the basis of all the data analysis skills you need. Such as,

• Excel
• SQL
• Statistical Analysis
• Programming
• Machine Learning
• Data Visualization

Why You Should Choose Data Analytics as a Profession? 

The advantages of pursuing a career in the area of data analytics are listed below:

The Skills Needed for the Position Are Simple to Acquire:

Regardless of your current occupation, having a natural willingness to solve problems will make it simpler and more exciting for you to learn how to apply analytics techniques that are in demand and to specialize over time.

Demand for the Profession is High:

75% of Internet of Things providers believe that data analytics is the most in-demand profession, and more than 68% of them are having trouble hiring people with the necessary skills. The variety of professional possibilities is expected to increase in the future years.

Many Different Fields Provide Various Opportunities:

In a variety of development fields, such as healthcare, manufacturing education, media, retail, and even real estate, big data analytics help find affordable solutions and strengthen the capacity of decision-making

Depending on your skill sets and interests, you will have the chance to choose from many industries.

Well-Paid Profession:

When compared to other IT workers, the financial rewards of switching to a job in data analytics may be superior. Students and young adults who have a strong sense of logic, are computer literate and are outstanding communicators might choose a job in big data analytics if they want to earn more than the average salary and work set hours.

If Mathematics is Your Strong Suit, This is a Field Where You Can Succeed:

If you enjoy math and statistics, a job in big data analytics will let you develop your applied statistics, linear algebra, real analysis, numerical analysis, and graph theory abilities.

You Can Take Advantage of Decision-making Authority:

Any business that uses data analytics will benefit since it gives you the ability to make better decisions and a competitive advantage.

As more businesses rely on data professionals, you will collaborate with the organization’s key person to simplify decision-making layers from top to bottom and engage with local levels to put insights into action. 

You are not limited to a certain field if you pursue a career in data analytics. You may quickly change career and advance in the areas that most closely match your interest if you have the necessary skillsets. 

How Do I Become a Data Analyst?

The first step in learning how to become a data analyst is to pick up the necessary data skills. While some of these skills are simpler to learn on your own, others are more difficult.

However, the data analytics industry as a whole is so vast and varied that it can be challenging to even know where to begin when wanting to study data analysis. The ideal way to get started in a profession is with an organized learning environment that methodically goes over all the fundamentals. This way you will know right away what you still need to study.

For example, potential data analysts searching for information on how to get started in data analytics frequently turn to data analytics courses and data analytics boot camps.  Technical training and practical experience are two things that a data analytics course should offer.

So let’s look into the data analytics course from IIM SKILLS and KPMG.

About IIM SKILLS

One of the top providers of online educational services in the World, IIM SKILLS has its headquarters in New Delhi, India. IIM SKILLS was established in 2015 and now they have a global presence in more than 35+ countries and more than 35,000+ trained that focus on high-quality professional courses and training at affordable prices.

To meet the upskilling and training needs of students and working professionals, IIM SKILLS provides a wide range of in-demand courses in writing, finance, and marketing.

Experts in the field and experienced instructors have built the course to fit the demands of the job market today. IIM SKILLS promises to provide students with hands-on, practical training that will provide them with the real-world skills they need to excel in their jobs or to launch their own businesses.

IIM SKILLS will help you in choosing your career path once you have successfully completed all of your courses through their placement assistance service. They provide guaranteed internships; help with resume and portfolio building, advice on careers, job recommendations, and assured interview calls.

Overview of Data Analytics Course

Data Analytics Course certification is a month-exclusive learning program. Anyone can start from the beginning to enter this cutting-edge sector if they are interested in data analytics.

By devoting 3-4 hours every week to instructor-led live online training by Industry experts that connect every topic from beginner to advanced level.

The curriculum of the course consists of 9 modules that cover every aspect of data analytics. The students can complete their course with 160 hours of lectures and 100+ hours of assignments.

Additionally, you will acquire 7+ live projects and, 10+ case studies in new-age technologies via 7+ tools that will help you get ready for the real-world industry.

For the learning materials, you will get lifetime access to their learning management system which consists, of pre-session recordings, recorded lectures, reading materials, and many more.

After successfully completing the course, you will get a certification and a two-month non-paid internship to put your studies into practice and prepare you for the workplace. After the training is over, the placement assistant team will give you a guarantee of the interview.

About KPMG Learning Academy

The reputable worldwide accounting firm KPMG (Klynveld Peat Marwick Goerdeler) is known as one of the world’s leaders in the professional services sector. KPMG is headquartered in the Netherlands and has branches across 145 different nations even in India. KPMG established a presence in the online learning market by providing a wide range of certification programs through KPMG Learning Academy. In India, KPMG provides courses that are specifically created for campuses and industry.

Students and professionals can improve in-demand skills by taking KPMG courses and KPMG certification courses in different topics such as financial accounting, human resource management, general management, data science, and many others.

The KPMG learning academy combines depth and breadth of subject matter expertise with its experience in learning design and technology. They provide a variety of pre-made digital, blended, and in-person courses using safe and user-friendly online learning platforms.

Overview of Business Analytics Training

KPMG in India provides working professionals and students with instructor-led and practical training in business analytics and machine learning. With the help of R, Tableau, and Advanced Excel, their course instructors can assist you in understanding the principles of business analytics, machine learning, and visualization.

The course covers a wide range of business analytics and machine learning topics in-depth, including practical modules, case studies, and the implementation of these ideas in real-world business situations. 

To ensure full exposure to analytical and statistical tools and methodologies, participants are given real industrial data.

Mode of Learning:

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IIM SKILLS vs. KPMG Data Analytics Course’s Aims and Objectives

IIM SKILLS 

• To introduce learners to the fundamentals of data analysis, including its many forms, data mining, etc.
• To enable students to do data-pulling, cleaning, manipulating, and analyzing business analytics tasks
• To deepen your grasp of how to use Excel, Power BI, and Tableau as data analytics tools
• Python can be used to manage datasets instead of spreadsheets
• Have a thorough understanding of statistical Data Analysis, supports business decision-making

KPMG

• Focuses on the business challenge’s strategic components
• With the goal of guiding both groups toward data analytics and designed with programmers and non-programmers in mind
• Created and presented by a team of data specialists from KPMG in India
• A strategy that has been thoughtfully designed to provide students a complete knowledge of business cases in an organizational context
• Case studies cover every organizational function to give a full picture
• An entirely practical approach   

Course Duration:

Course Fees:

IIM SKILLS vs. KPMG Data Analytics Course Curriculum:

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IIM SKILLS vs. KPMG Data Analytics Course’s Tools Covered

Learning Resource Access:

IIM SKILLS vs. KPMG Data Analytics Course’s best for:

Certifications:

IIM SKILLS vs. KPMG Data Analytics Course’s Learning Outcomes:

After the completion of the data analytics master course certification syllabus, the candidate will be learning the following:

IIM SKILLS

• Recognize Excel and SQL concepts including command and query tools as well as statistical words like correlation, central tendency, dispersion, and regression
• Gain knowledge of the deep aspects of Python including dictionaries, classes, sets, branches, objects, and dictionaries. and lists
• Examine data analytics performance using Python libraries
• Acquire the skills necessary to create Python programs that make use of variables, loops, conditions, and other programming elements
• Learn how to read and write files in Python while becoming comfortable with loading and saving data using Pandas
• By using NumPy’s multi-dimensional arrays, Panda’s data frame management, and Scikit Learn’s machine learning tool, you will obtain an in-depth understanding of data interpretation in Python
• Knowledge of linear and non-linear regression models and classification algorithms for application in data analytics
• Develop your Excel skills for business analytics
• Acquire knowledge of clustering techniques such as hierarchical clustering, DBSCAN, and K means
• Gain knowledge of visual analysis methods such as Pareto analysis, market-basket analysis, heat maps, and waterfall visualization 
• Get to know about visualization tools such as Power BI and Microsoft analytics
• Develop your skills to create interactive dashboards by learning more about Tableau’s model and statistics

KPMG

• To clean and analyze data, using R
• Use both descriptive and inferential statistics while making business decisions
• Make stories and dashboards
• Use the proper techniques to produce real-time prediction models
• Adding live website data into Excel
• Create multiple client segments based on behavior trends

Jobs after Data Analytics Courses

The industry you work in influences the direction your career will go as a data analyst. With a bachelor’s degree in statistics, mathematics, or computer science, a person seeking to become a data analyst may often start the profession and be qualified for an entry-level data analyst job right away after completing a data analytics certification course. 

Some people change careers from a similar sector, such as business, economics, or even the social sciences to data analysis, generally by taking a data analytics course in the middle of their current job.

Data Analyst, Data Scientist, and Data Engineer are the three primary subfields of work in data analytics and while they are all different job titles in and of themselves, you may think of them as the three major categories in which the majority of data occupations belong. 

There are numerous combinations of these roles, the majority of which represents an advancement from one of these roles such as the transition from data engineer to data architect, or a specialization within them, frequently based on industry such as the transition from data analyst to business intelligence analyst.

Let’s take a deeper look at a few typical data roles along the professional path for data analyst:

• Data Scientist
• Data Analyst
• Business Analyst
• Business Intelligence Analyst
• Medical and Healthcare Analyst
• Market Research Analyst
• Operations Research Analyst
• Intelligence Analyst

FAQs

Q. What is the salary of a fresher data analyst in India?

In India, the starting salary for a data analyst is around 1.7 Lakh annually. The highest income a data analyst may receive is 11.3 lakhs per year.

Q. Is data analysis a stable job?

Some of the most desired specialists worldwide are skilled data analysts because data is everywhere and is expanding more and more as the demand for data analysts. Data analysts earn higher than average salary and benefits, especially at the entry-level, because demand is high and the pool of qualified candidates is small.

Q. Can a fresher become a data analyst through these courses?

Yes, definitely you can. Nowadays, employers look for people who have the necessary data skill set you can gain through completing data analytics courses. You can use a portfolio of your complete projects to apply for entry-level data analyst positions.

Conclusion

That’s it. We hope you get a clear understanding of data analytics and the courses from both IIM SKILLS and KPMG. Here, both of the courses will help you acquire the essential data skills and you will get practical experience in an advanced learning style with the knowledge. No matter, which course you will opt for, we are sure that your learning time is being put to use where it will be most helpful to you through both of these courses. Before enrolling and to know more information about the courses, we have provided the contact details of the institutions so that you can get your queries solved.

IIM SKILLS vs. IIM Calcutta Data Analytics Course Review

by Swati Varli | Jul 2, 2025 | Courses, Data Analytics, Institute Review

Do you want to study data analytics but are unsure where to begin? Then, this article is for you. Data analytics careers have been highly popular in recent years due to the growing reliance on big data to drive business success. To put your feet in this industry, you need an excellent educational background and necessary skills. But, let’s say you don’t have a degree or have a degree in a completely unrelated profession. In that case, you can develop the necessary skills via different strategies, such as certificate programs or university courses. Here in this article, we have discussed the best IIM SKILLS vs. IIM Calcutta Data Analytics course that can help you grow in this industry.

What is Data Analytics?

Data Analytics is the science of transforming raw data to find insights and provide answers that can be used in many industries.

To collect, arrange, and evaluate insights that help companies make better decisions; it uses multivariate tools and techniques with a broad range of strategies with different objectives. 

Numerous efforts may be supported by data analytics; you will have a clear understanding of where you are, where have you been, and where you want to go thanks to the combination of various data analytics components.

Businesses may increase marketing efforts, revenue, security, and operation efficiency via data analytics. Today’s technologies and methods for data analytics are widely available and essential for firms of all sizes from significant healthcare analytics to the small climate change community actions.

Function of Data Analytics

A solid understanding of the procedure for filtering and arranging disorganized data is essential if one is to have an in-depth practical understanding of what analytics is.

Data analytics is important in the following ways, 

Even if every other sector is using this resource’s vast potential, data analytics can be important in the following ways:

• More accurate information for trend analysis
• More practical and customer-focused products
• Promoting energy efficiency and sustainability
• Effective marketing initiatives
• Improvement of cyber security projects
• Automating production processes
• Business risk anticipation and reduction
• Better insurance health and clever saving strategies
• Development of advanced prediction algorithms and general public customized healthcare

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Ways to Use Data Analytics

After looking at what data analytics is and its function, let’s discuss some applications for it.

Better Customer Care

• Data analytics enables you to customize customer care to their needs. Additionally, personalization is offered and client relations are strengthened. 
• Data analysis may disclose details about the preferences, issues, and more of your clients. You can make better suggestions for products and services thanks to data analytics. 

Improved Decision Making

• Data Analytics eliminates guesswork and manual work. Whether it be selecting the appropriate content, managing marketing initiatives, or creating products. 
• Decisions made by organizations can be based on the insight gained through data analytics that results in improved outcomes and satisfied clients.

Operations Efficiency

• With the use of data analytics, you can optimize your procedures, reduce costs, and increase output. 
• By having a better grasp of what your audience wants, you can spend less time producing advertising and material that doesn’t appeal to them.

Effective Marketing

• Data Analytics provides you with useful information on how your campaigns are performing. This helps in optimizing their performance. 
• Furthermore, you may discover potential clients who are most likely to engage with a campaign and turn into leads.

After knowing all of this information about data analytics, you can tell companies across all industries want experts who can gather data, evaluate it, and extract actionable, data-driven insights from it which can help them address major business problems. As a result, data analysis can become the most lucrative career in the future.

There are many ways to land your first job in this in-demand industry and there are multiple positions for data analysts available in a variety of sectors. Whether you are starting in this field or switching to a new line of field. You should begin by gaining basic information if you are new to data analysis.

While giving you job-ready skills, a general overview of data analytics might assist you in determining whether this career is a suitable match.

A degree in a relevant field, such as computer science, information technology, math, statistics, economics, finance, or corporate information systems is typically required for entry-level or advanced positions as a data analyst.

Due to the fact that it indicates a strong core understanding of essential mathematical concepts, many firms look for applicants with these backgrounds.

Gaining practical experience applicable to actual working conditions might be helped by a postgraduate degree or certification course.

We have chosen the best data analytics professional course from IIM SKILLS and the business analytics executive program from IIM Calcutta. Both of the analytics courses will give you an in-depth understanding and practical aspects of the industry. 

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So let’s see the course review of IIM SKILLS vs. IIM Calcutta Data Analytics Course in detail

About IIM SKILLS

IIM SKILLS is one of the top education platforms that provide skill-based course learning and was established by Mr.Vaibhav Kakkar in 2015.

IIM SKILLS makes it simple for newbies to comprehend each subject clearly by breaking down difficult ideas into an easy practical manner. 

All of their courses are informative and inspiring which will undoubtedly surpass your expectations and match your requirements with affordable prices. 

In-demand fields such as finance, marketing, analytics, writing, and competitive exam coaching will assist you in upskilling your profession in a few months through their live online and self-paced learning methods.

Overview of Data Analytics Masters Course

In order to grasp an in-depth knowledge of data analytics, IIM SKILLS provides a 6-month rigorous data analytics master course that consists of 160 hours of instructor-led live online training and 100+ hours of practical assignments. You can even get lifetime access to the learning management system (LMS).

The course is beginner-friendly and doesn’t require any prior experience. Their extensive course curriculum with 9 modules is suitable for both beginners and professionals that will take you from basic to advanced level. To help you get the practical aspects of industry you will work on 10+ case studies and 7+ live projects. Even Throughout the course, you will master 7+ tools. You can also choose a single module as per your requirements.

After successful completion of the course, they provide a 100% assured internship of 2 months. That will help you become ready for the industry and add-on experience.

About IIM Calcutta

In partnership with MIT’s Alfred P. Sloan School of Management, the West Bengal Government, The Ford Foundation, and Indian Business all worked together to establish the Indian Institute of Management Calcutta (IIMC). It was India’s first national institute for postgraduate studies and management research, in November 1961.

Providing top-notch management education, IIMC has developed through time with a global reputation. Through its doctoral and post-doctoral degrees, executive training programs, research, and consulting activities, it has been a pioneer in the professionalization of Indian management,

The institution now performs its functions as a self-governing entity, constantly adapting to achieve its objectives in a commercial context that is always changing.

Overview of Business Analytics Program

This in-depth executive program includes 12+ modules that will help today’s managers in setting a strong foundation in business analytics. The method of teaching will be highly interactive and make use of a variety of practical tools and approaches, including lectures, real-world case studies, quizzes, assignments, and examinations. In between and the end of the program, there will be two 5-day campus immersion modules which are mandatory for participants for successful completion of the program.

This Executive Program of Business Analytics covers all the facets of business, marketing, finance, and operations and provides you with a solid broad instruction in data science. 

It is not a specialization course but it will expose you to a wide range of data science concepts as well as how business choices can be influenced by analytics.

Eligibility Criteria:

Admission Process:

Mode of Learning:

Learning Resources:

Course Duration:

Course Fees:

IIM SKILLS vs. IIM Calcutta Data Analytics Course’s Aims and Objectives:

IIM SKILLS vs. IIM Calcutta Data Analytics Course Curriculum: 

Tools Covered by IIM SKILLS

IIM SKILLS vs. IIM Calcutta Data Analytics Course’s Ideal Audience:

Certification

Learning Outcomes of IIM SKILLS

• Recognize principles related to Excel and SQL, such as query and command tools, and statistical terms including correlation, central tendency, dispersion, and regression
• Learn the complex details of Python concepts such as lists, contributions, branching, dictionaries, sets, objects, and classes.
• Discover how to write Python programs utilizing the concepts of conditions, variables, loops, functions, etc.
• Get familiar with using Pandas to load and save data while learning how to read and write files in Python.
• You will gain an extensive grasp of data interpretation in Python by utilizing Pandas’ data frame management, Scikit Learn’s machine learning application, and NumPy’s multi-dimensional arrays.
• Analyze the performance of data analytics using Python Libraries.
• Understanding of classification techniques and linear and non-linear regression models for use in data analytics.
• Become proficient in Excel for business analytics.
• Learn how to apply clustering methods like K means, DBSCAN, and hierarchical clustering. 
• Become familiar with Visualization tools (Power BI) and Microsoft’s analytics.
• Learn about visualization techniques including waterfall visualization, heat maps,  market basket analysis, and Pareto analysis.
• Learn about the model and statistics of Tableau and hone your skills to make interactive dashboards.

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Why choose IIM SKILLS?

IIM SKILLS is an excellent organization that upholds its commitment to providing top-notch knowledge and skills development at affordable prices. 

Since 2015, more than 35,000 people have found IIM SKILLS to be an ideal platform to launch, start or enhance their career.

An increasing number of skill-oriented professions are being created as worldwide opportunities expand significantly.

IIM SKILLS provides the ideal environment for people to launch their professional careers or improve in their current field in order to bring to the front and center these new and advanced skills.

The professionalism that IIM SKILLS promotes in their data analytics master course is outstanding. You may fully profit from the course thanks to the up-to-date content, student-centered pedagogy, expert faculty, and 24×7 support.

Learning Outcomes of IIM Calcutta

• Recognize and use business analytics principles and models
• Able to analyze, synthesizing, and solving unstructured business data especially
• In corporate contexts, recognize, model and resolve decision-based issues
• Interpret the finding to choose the best course of action
• Develop a passion for creativity and business improvement

Why choose IIM Calcutta?

One of the top business schools in the Asia Pacific Area and one of India’s top three business schools is the Indian Institute of Management Calcutta.

The goal of IIM Calcutta is to become a premier international center for management education is is now a real melting pot of brilliance, with some of the top mentors and students.

The course will give students the chance to study in culturally different environments, preparing them to function as truly global managers.

Professional Courses from IIM SKILLS

• Financial Modeling Course
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• Business Accounting And Taxation Course
• CAT Coaching
• Investment Banking Course

Frequently Asked Questions on IIM SKILLS vs. IIM Calcutta Data Analytics Course

Q. Is data analytics and business analytics the same?

Both business analysts and data analysts use data. Both of them help their firm to make data-driven decisions. Business analysts often spend more time addressing business issues and making recommendations, whereas data analysts typically spend more time working with the data itself. 

Q. Can a fresher obtain one of these courses?

Anyone can obtain the required skills and education from both of these institutions to work in the data analytics industry. However, there are some eligibility criteria you need to follow before enrolling.

Q. Does data analytics have a bright future?

The constantly changing data and its worthwhile conclusion indicate a promising future. This suggests that more businesses are willing to employ qualified data analysts. For people looking for a stable job, and excellent incomes in the expanding industry, there are unlimited opportunities.

Q. Can I get a data analytics job after the course?

Yes, both of the courses provide placement support. You can increase your chances of getting a job as a data analyst by gaining experience through case studies, internships, live projects, and certification.

Concluding thoughts on IIM SKILLS vs. IIM Calcutta Data Analytics Course

Both of the courses listed above from IIM SKILLS and IIM Calcutta give a certificate and placement which is a great method to prove to yourself that you finished the course and gained an in-depth understanding of the subject.

Whichever course you pick, both of these courses will give you a solid education and essential skills required in the industry. If you have any inquiries regarding courses you can connect the institution directly through contact details.