Looking for a career opportunity in the upcoming year? You can opt for high-paying jobs as a data scientist by learning through the best data analyst courses after graduation, which is data based job. Getting a job as a data analyst can enlarge your career in many fields.

List of best data analyst courses after graduation

Table of Contents:-

What is a data analyst?

Data analytics v/s data analysis

Types of data analytics

  • 1- Descriptive analytics
  • 2- Predictive analytics
  • 3- Prescriptive analytics
  • 4- Diagnostic analytics

Is data analysis a good career?

Job options in data analytics

Future scope of data analytics in India

Top recruiters for data analyst

Salary options for data analyst courses after graduation

Eligibility criteria for data analyst courses after graduation

Data analyst courses after graduation fees and duration in India

Syllabus for data analyst courses after graduation

  • Machine learning
  • Python
  • SQL or Structured Query language
  • Tableau

Best institute for data analyst courses in India

Frequently Asked Questions or FAQs on Data Analyst courses

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What is a Data Analytics?

Let me start with an example – In the ’90s, you go to a grocery store and ask for a packet of sugar, the owner reminds you that he forgot to bring sugar stocks so he told you to please come back tomorrow and buy sugar. Will you go to that store again?

Okay so start with the 20s, you go to the store and ask for sugar, this time owner checks his laptop and answers you go and take it from that row in the shop, he stored all the data in his laptop and goes through these data every time.

Till the 20s, human analysts are incomparable when it comes to detecting design in data. Nowadays they are still crucial when it comes to assimilating virtuous data to grasping algorithms.

Technically, Data analytics is a process of collecting all the raw data from all sources which are complex though, then organizing it after cleaning, manipulating, analyzing, and then visualizing data which are used to start your business decisions and make you sense of past and predicts future rather than guessing.

India’s data analyst businesses have expanded fleetly over the last 10 years times as a result of the country’s growing internet stoner base. By 2025, there will be over 900 million further people using the internet, which has formerly doubled since 2015.

The data gathering that might be employed to conceivably tap into different requests has significantly increased as a result of this expansion, supporting the data analytics sector. In 2021, the request for data analytics had formerly grown significantly, by 26.5 times over time, to reach US$ 45.4 billion.

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Data Analytics v/s Data Analysis

Even the terms “data analytics” and “data analysis” are frequently used interchangeably. Data analysis is a process of collecting, manipulating, and analyzing the raw data whereas data analytics takes the analyzed data and works in a useful and meaningful way.

Types of Data Analytics

There are four main types of data analytics which support in many ways in today’s world, described below with examples –

1- Descriptive analytics:– It simply defines what happened in the past.

Data analyst summarizes historical data from the past then create a dashboard and report their generation.

For example, a beauty products company analyzes their seasonal performance sales in the year 2022, therefore they experience an increase in sales in January, February, November, and early December.

2- Predictive analytics:- It predicts future trends and events, and simply defines what will happen in the future (forecasting).

Ex- Beauty products company sells their products maximum in January, February, November, and early December every year as from the past data therefore they predict the same trends will occur next year. We have to use many algorithms and tools like machine learning, deep learning, and AI to predict the future.

3- Prescriptive analytics:- What actions should be taken to achieve predicted results?

Prescriptive analytics suggests taking decided action and getting predictable results also an advantage to taking future opportunities and neglecting future risks.

Ex- Beauty product company takes strict decisions on sales to achieve predicted results.

4- Diagnostic analytics:- Why did it happen?

We use historical data to find an answer to every question and get solutions with the use of tools.

Ex- What if a beauty product company does not achieve its target, this will come under diagnostic analytics.

Companies also keep their discarded information otherwise data collection for an individual turns out to be very laborious.

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Is Data Analysis a Good Career?

Definitely yes. Data is everywhere, about 2.5 quintillion bytes of data are produced every day and as time passes, the rate of data produced is only increasing exponentially.

There is a high demand for data analysts because of the limited number of people qualified in it with impressive salaries from every domain that relies on data including food, business often called business analytics, hospitals for future health, public, and banking to individualize customer interaction and many more.

To became a data analyst is not that hard but to become successful as a data analyst is tough. Your technical skills should be strong to succeed and be a good data analyst.

Freshers start their job with a minimum of 5-6 LPA as entry-level data analysts and with 2-3 years experience get 8+ LPA in metro cities like Delhi, Mumbai, Pune, and Banglore. Many data analysts work remotely or even internationally as a freelancers and travel wherever they want.

Job Options in Data Analytics

If you are new in this field as a data analyst then you might get a job at entry level as a junior data analyst and if you have some experience from your previous job then you will be hired as a data analyst. Do you want to work with a higher company like Facebook, or Google and want to be recognized as a data analytics?

Then you have to develop some skills before applying for a job like Python, R, data management, machine learning, Tableau, Structured Query Language or SQL, and statistical analysis. There are so many specialist job titles listed below to start your career as a data analyst –

1- Business Analyst:- Examine data related to business.

2- Management Reporting

3- Web Analyst:- Analyze data related to a page, website, or specific topic.

4- Actuary:- Responsibility for planning insurance companies by determining incidents, handicaps, and retirement rates.

5- Compensation and benefits analyst

6- Corporate strategy analyst

7- Budget Analyst

8- Healthcare analyst:- In today’s world, healthcare also relies on technology. It analyzes data related to the healthcare industry and improves decision-making.

After so many years like 7-8, many data analysts become data analyst consultants and work with not one client but a variety of different companies and provide guidance who want to improve their data analytics career.

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Future Scope of Data Analytics in India

The unborn compass of data analytics in India is brilliant for multiple reasons. A profession in data analytics is satisfying and offers a broad range of personal and professional development openings.

Understanding statistical approaches, fine capability, business literacy, logical beliefs, and Data are just many of the natural bents demanded to be a Data Analytics. The capability to dissect the business environment and develop creative results is also necessary.

In India, the wide operation of Data ensures a high position of employment, better stipend, and booming demand in the future.

Analytics has the implicit to transfigure the current business terrain by landing a significant quantum of data, enlarging models, kindling creative processes, and promoting the overall growth and development of a company attesting why the unborn compass of data analytics in India presents bright career options.

Top Recruiters for Data Analyst

Looking for a data analytics company all over the world? We put in our efforts, researched a lot, and made a list for you. Here is the list of the top 10 companies

1- Alabs.ai:- A private company in Gurugram, Haryana which was built on 2 September 2020.

2- Cartesian consulting:-  Private company founded in 2009 in Mumbai, India with 200 employee size.

3- Mu Sigma analytics:- Private company founded in 2006 in Chicago with 3500+ employee size.

4- Fractal analytics: This is a multinational company which is further founded in Mumbai in 2020 with an employee size of 1200.

5- Manthan: This is a business intelligence and analytics company that was founded in 2004 in Bangalore, India with an employee size of 500.

6- Latent view: The company was founded in 2006 in Chennai, Tamil Nadu with an employee size of 600.

7- Tiger Analytics: The company that was founded in 2011 is a Chennai-based analytic company with an employee size of 500 or more.

8- Absolutdata: The company was incorporated in 2009 in Gurgaon, Haryana with 450 employee size.

9- Convergytics Solution PVT. ltd. :- Company established in 2013 in Bengaluru, Karnataka with 60-90 employee size.

10- UST global:- Is a multinational company and global headquarters in California, USA. This company opens offices in Bengaluru, Pune, Kochi, Chennai, Thiruvananthapuram, Noida, Hosur, Coimbatore, Hyderabad, and Ahmedabad in India with an employee size of approx 30000.

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Salary Options for Data Analyst Courses After Graduation

Data analysis is the highest earning profile in the IT industry. Freshers start their job with a minimum of 5-6 LPA in India and with 2-3 years experience get 8+ LPA in metro cities like Delhi, Mumbai, Pune, and Bangalore. You can earn much more if you work in US-based companies with an average annual salary of 65,000- 70,000 US dollars. If you become a data analyst consultant after 6-7 years of your data analyst career then your salary will rise to 20 lakhs.

Eligibility Criteria for Data Analyst Courses After Graduation

Want to become a data analyst after graduation –

●      Complete your 10+2 in physics, chemistry, and maths from a recognized college with a minimum of 60% aggregate marks. If you take computer instead of the regional subject in your 10+2 then this will be considered a bonus for you

●      You have to complete your bachelor’s degree in maths, statistics, economics, science, and computer science with a minimum of 50% marks equivalent from a recognized university.

●      Some companies ask for a master’s degree in data analysis which is why you also go for post-data analyst courses after graduation.

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Data Analyst Courses After Graduation Fees and Duration in India

The duration of data analyst courses after 10+2  is 3 to 4 Years with fees of 3,00,000 – 10,00,000 INR. The duration of data analyst courses after graduation (post-graduate) is 2 years with fees of 30,000 – 6,00,000 INR. If you want to go for diploma or certificate courses, IT might be 5-6 months to 1-2 years in duration.

Fees– for certification courses more than 500, and for diplomas up to 50,000.

Syllabus for Data Analyst Courses After Graduation

Courses must be the same but the topics may differ from institute to institute. Here are some of the topics on which you work –

Machine learning:- Machine learning is a hot topic in data analysis which is a  designing tool that predicts modeling processes of structured and unstructured, and handles both. Machine Literacy is the wisdom of designing algorithms that learn on their own from data and acclimatize without mortal correction.

As we feed data to these algorithms, they make their own sense and, as a result, produce results applicable to aspects of our world as different as fraud discovery, web quests, excrescence bracket, and price vaticination.

Python:- If you want to work in this field and search for a data analytics job then this language is necessary. In Python, you develop a skill that is used for cleaning data and preparing for analysis and this language makes your CV attractive. By the end, you’ll be able to manage the entire analysis process from preparing data to presenting perceptivity through data visualization.

SQL or Structured Query Language:-  This is a widely used database language in data analysis that is easy to learn. SQL specialists store and interpret all the data. You can learn easily if you are a beginner.

Tableau:- Tableau was founded in 2003 by 3 students Pat Hanrahan, Christian Chabot, and Chris Stolte from Stanford University. This is a data visualization tool that makes it easier for people to manage, connect, and interact with data which makes it easy to create a thoughtful dashboard within 3-4 clicks.

 

Top 4 Data Analyst Courses After Graduation

Here is a list of some institutes with online facilities that are time-saving with free or paid courses. However, you can opt for many institutes with classroom facilities.

 

1. IIM SKILLS

IIM SKILLS is top leading educational company for professional skill development courses in the world. They are top-rated and offer certified courses that have global recognition. They offer these courses on a digital platform which is why they have students from all over the world. This institute was formed in the year 2015 by Vaibhav Kakkar.

 

Among all their courses, data analytics courses have the highest recommendations. This course is perfectly designed with an updated course curriculum. The course provides 6 months of comprehensive live training followed by 2 months of optional internship.

During the course tenure, the students are given live project assignments, case studies & in-depth training, and an understanding of the tools used in data analytics. IIM SKILLS provides complete hands-on tool-based training which helps the students to master the skills of data analytics and are career ready.

 

Also Read: IIM SKILLS Data Analytics Course Review

Course Details:

Name: Data Analytics Course

Duration: 6 Months + 2 months of Optional Internship

Fees: INR 49900 + Taxes


There are Many Benefits Of Taking Data Analytics Courses WIth IIM SKILLS, A Few are Listed Below:

  • The course is 100% tool-based and practical-oriented.
  • IIM SKILLS covers all the latest topics and learn tools as per the current market standards.
  •  All the courses are 100% certified and are globally recognized.
  • They only use digital platforms, so students from anywhere can participate.
  • They believe in offering flexible learning, which helps students to learn in their own space and comfort zone.
  • Weekly assignments are given with live projects for better understanding and professional experiences.
  • The course fees are within the budget with interest-free EMI payment options and an additional 10% discount for group registrations.
  • They also give a guaranteed refund after the first session of the course if the student is not satisfied.
  • The live training sessions are recorded and shared with every participant of the course with lifetime free access.
  • The students are trained under a team of highly efficient and experienced mentors who are industry experts.
  • Apart from training, the student is well guided and supported for their career and professional goals.
  • 24*7 helpline services are given which makes sure the customer executives answer all the course-related queries.

 

The Types Of Data Analytics Tools Covered:

  • Python 1 & 2
  • R
  • Basic & Advance Excel
  • VBA
  • Tableau
  • Alteryx
  • SQL
  • Power BI

Other Professional Courses from IIM SKILLS

Contact Information:

+919580740740, info@iimskills.com

 

2- Google Data Analytics Capstone via Coursera

Google provides free 6 months of training with recorded video lectures practice materials, and modules for data analyst courses after graduation. This course is completed within 10 hours and after you complete all the assignments, Google provides you with a certificate.

Highlights-

  • Beginner’s course
  • Trial before enrolled
  • Weekly modules available
  • The certificate from Google
  • After completion of the course, the students have to pay Rs 1,053 for the certificate.

Eligibility criteria-

This is the basic course in data analysis and anyone can learn with basic maths knowledge.

Skills you learn-

  • Spreadsheet
  • Data Cleansing
  • Data Analysis
  • Data Visualization (DataViz)
  • SQL
  • Questioning
  • Decision-Making
  • Problem-Solving
  • Metadata
  • Data Collection
  • Data Ethics
  • Sample Size Determination

 

3- Intellipaat

Associated with CCE, IIT Madras alumni, it is a 7 monthly training, that provides paid courses for 84,000 INR with live and interactive classes that teach easy coding along with three certificates for data analyst courses after graduation. Courses consist of 16 modules, each one covering every topic related to data analysis. Intellipaat master your skills.

After completing your data analyst course from Intellipaat, you adopt the capability to solve complex problems and earn 55% of the average salary hike with lifetime class benefits.

 

Highlights-

  • Self-learning
  • 50+ live and interactive sessions for 7 months.
  • 218+ hours of self-learning videos
  • IIT Madras alumni
  • Guaranteed interviews
  • 24×7 faculty support
  • Portfolio building
  • EMI options are not available

Skills you learn

  • Data Science with R
  • Logistic Regression
  • Decision Trees & Random Forest
  • Tableau Desktop 10
  • Metadata & Data Blending
  • MS-SQL
  • PROC SQL
  • Subqueries
  • Power BI
  • Advanced Excel
  • Statistics
  • Probability

 

4- UpGrad

UpGrad offers a Data Analytics Program in cooperation with Caltech University. This course covers each and every topic that you need to become a great data analyst, from basics like statistical prerequisites to advanced machine learning programs. Founded by IIIT Banglore, it provides 1 year paid course for 3,00,000 INR with live classes for data analyst courses after graduation.

You can also purchase this course with an EMI of 6,736 INR per month. Their students work with many top MNC companies with a 57% average salary hike. Courses are designed by professionals and teach real-life industry projects.

 

Highlights-

  • Python Programming
  • IIIT Bangalore alumni
  • Live classes
  • For beginners
  • Interactive sessions
  • Tools knowledge and implementation
  • Live projects
  • Guided assignment
  • Guarantee interviews
  • 400+ learning hours

Skills you learn

  • Problem-solving skills
  • Data Toolkit
  • SQL
  • Machine learning
  • Business understanding
  • Capstone project
  • Gesture Recognition
  • Recurrent neural networks
  • Exploratory Data analysis and statistics

 

Frequently Asked Questions

1- Can I do a data analyst course after my BA?

The biggest misconception is that people who have science or tech-related degrees become data analysts. This is not true at all. To apply for the data analyst course, all you need is your bachelor’s degree in any stream like economics, English, science, or commerce. You don’t need to have prior experience in coding or technology for this course. So go and join this course.

2- Can I become a data analyst in 3 months?

If you want then you can. Go and learn all the required skills like Python/R, SQL, Tableau, machine learning, and so on. There are many paid or free data analyst courses after graduation which is searched online where you can enroll. Use your 3 months wisely, make a list, and spend your time accordingly, it means 40% of the time is spent on the theory part and the rest 60% on skill practice because lots of practice is required to become an expert in data analysis.

3- Is data analysis a stressful job?

Definitely not! Your degree is not enough for a data analyst, you have to learn some required skills. But sometimes you feel frustrated which is quite common like every 9-5 job. If you find yourself interested in coding, solving complex problems, and data analyzing then this job is for you. But remember don’t do this job because of high demand and handsome salary. All you need is to have some patience because here multiple trials and errors are found.

4- Is data analysis require good math?

Not necessarily. Not every data analyst works on mathematical grounding mostly work on tools like Python, SQL, and Tableau, and learn some basic maths like algebra, calculus, and statistics but if you want to succeed in data analysis then you require a strong foundation in maths. Your success will be measured based on the business value you make.

5- Can a non-technical student apply for a data analyst course?

There is a myth that you have to complete your bachelor’s in maths, statistics, or economics to become a data analyst. But this is not true, although we find it beneficial if you know these topics. In recent years we have observed many data analysts from non-IT backgrounds.

6- Is data science and data analyst courses after graduation are same?

Data analytics is a process of collecting all the raw data from all sources which are complex though, then organizing it after cleaning, manipulating, analyzing, and then visualizing data which are used to start your business decisions and make you a sense of past and predict future rather than guessing. Data science is the process in which you convert numbers into meaningful data. A Data scientist transforms data into meaningful insights, it does no matter what tools you use.

Apart from being a data analyst, being a data scientist is also a good career these days. If we go 14-15 years back when the internet just came and we didn’t have this much data to store, we used Excel sheets to store the data manually but today when millions, billions, or even trillions of data are generated, which is impossible to store that is why we start using different tools to store data and this is called data science.

Conclusion

Here we learn what a data analyst is, the tools used for data analytics, salaries, career, future in data analysis, and syllabuses. Finally knows about some institutes and reads some articles. Do you have any questions? Feel free to ask in the comment section of the article.

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