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With each passing year, the volume of data increases. While there are top automation processes that can handle these raw data, the role of professionals such as data analysts are crucial. The field of data analytics optimizes the performances of organisations around the world. They make sense of the data and make better decisions. To become a top data analyst you need the right education.
This profession uses the latest technology and techniques to analyse data on human consumption. This paved the way for roles such as data analysts, data scientists, data engineers and so on. And fortunately there is a plethora of Data Analytics Certification courses available.
What is data analytics?
The profession of data analytics is all about studying the past and present performances (i.e. raw data) of individuals, organisations, market trends, consumer behaviour, etc, and providing a clear report. This allows organisations, individuals, etc. to make strategic decisions for their future growth.
Different types of Data Analytics
- Descriptive analytics - To identify the events over a given period of time
- Diagnostic analytics - To understand why certain things happened
- Predictive analytics - To predict the future events based on available data
- Prescriptive analytics - To recommend a necessary course of action
Who can pursue Data Analytics courses?
- You are great with numbers
- You can present complex raw data into a simplified format
- You are already a professional (IT field, business, research, academics, healthcare, etc. ). All these fields have requirements of data analytics. So you might choose these data analytics certification courses to improve your work/business.
- You are a professional in similar fields (data analysis, data science, etc.) You now want to learn all the tools of the trade.
If any of these descriptions suits you, then data analytics courses are right for you.
Eligibility Criteria for Data Analytics courses
Note: To fully become a professional, you will need expertise in statistics, mathematics, programming, etc. This will help in getting roles such as Data Analyst, Data Visualization Engineer, Data Scientist, Business Intelligence Analyst, etc.
For this you could take UG or diploma courses in statistics, mathematics, computer applications, computer science engineering, etc.
For UG in Data Analytics courses
For all the above, you will require (10 +2) qualification with a minimum passing percentage (science/ commerce stream. Mathematics and computer science are important). Depending on the course and the institute, the admission criteria could be merit based or through entrance exams.
For PG in data analytics courses,
You will need a Bachelor’s in the relevant field with a minimum passing percentage of 50%. Depending on the institute there might be entrance exams as well.
Top entrance exams for Data Analytics courses (for UG)
- JEE Mains (Joint Entrance Examination – Main)
- JEE Advanced (Joint Entrance Examination – Advanced)
- BITSAT (Birla Institute of Technology and Science Admission Test )
- SRMJEEE (SRM Joint Engineering Entrance Exam)
UG in Data Analytics courses
Here are some popular UG courses which can lead to a career in data analytics
- B.Com. (Bachelor of Commerce)
- B.C.A. (Bachelor of Computer Applications)
- B.Tech. (Bachelor of Technology) Computer Science
- B.Tech. (Bachelor of Technology) Computer Science and Engineering
- B.Stat. (Bachelor of Statistics)
- B.E. (Bachelor of Engineering) Data Science and Engineering
- B.Tech. (Bachelor of Technology) Big Data Analytics
- B.E. (Bachelor of Engineering) Big Data Analytics
- B.Tech. (Bachelor of Technology) Data Science and Engineering
- B.Tech in Mathematics and Computing
PG in Data Analytics courses
While you can start a career in data analytics right away your bachelor’s, there are many who opt for advanced studies. Here are some of the options.
- M.Math. (Master of Mathematics)
- M.C.A. (Master of Computer Applications)
- M.Tech. (Master of Technology) Computer Science
- M.Tech. (Master of Technology) Data Science and Engineering
- M.Tech. (Master of Technology) Big Data Analytics
- M.E. (Master of Engineering) Computer Science
- M.E. (Master of Engineering) Big Data Analytics
- M.E. (Master of Engineering) Data Science and Engineering
- M.Stat. (Master of Statistics)
But you can learn more nuances by taking online Data analytics courses.
Important skills for Data Analytics courses
- Programming skills
- Time Management
- Logical and analytical skills
- Organisational skills
- Observational skills
What will you learn in Data Analytics courses?
Whether its degree / diploma courses or data analytics certification courses, you will learn effective data analytics techniques. You will learn how to gather, analyze and execute statistical data analysis. Your work will provide organisations clarity on how to proceed with business decisions. You learn how to translate statistics and data into simple English. Here are some of the topics taught in these data analytics courses.
- Data analysis
- Data Visualization
- Machine Learning
- Data Cleaning
- Languages (R, Python)
- SQL and NoSQL.
- Linear Algebra and Calculus.
Popular Data Analytics certification courses
Data Analytics relies on statistics, mathematics, technical skills, etc. You still need a foundation course such as a degree or diploma. But the merit of these data analytics certification courses is that you get to take degrees/ short certification courses from top institutes around the world. Top industry experts have designed these data analytics certification courses that are up to date with the latest trends in the field. This can give you an advantage over others. Let us dive into some of these top data analytics certification courses.
Free (for auditing)
MIT Cambridge via Edx
Free (for auditing)
QMUL via Futurelearn
Free (for auditing)
Georgia Tech via Edx
Free (for auditing)
IIM Kozhikode Executive Post Graduate Certificate in Data Analytics for Decision-Making
If you are anxious about breaking the bank, yet want some quality education, then take some free data analytics certification courses which you can audit. Check out our list of free data analytics courses and free data analysis courses. These are created by top institutes and industry professionals.
Career Opportunities after Data Analytics courses
Every business sector requires data analytics. (e.g.: healthcare, IT, banking, etc.) If you want a lucrative career, with amazing growth and salary, then this is a great pick. You need to have passion with numbers and technical skills. You will be a great fit. There are plenty of career options within this field. So it is not just data analyst. This is because the field involves multiple disciplines: business intelligence, statistics, computer science, sociology, communication, etc. So it is not just technical and analytical skills but also communication skills. So let us take a look at prospective careers after data analytics courses.
Average Base Salary p.a.: Rs. 605308/-
Average Base Salary p.a.: Rs. 6,55,535/-
Average Base Salary p.a.: Rs. 4,50,000/-
Data Visualisation Specialist
Average Base Salary p.a.: Rs. 7,00,000/-
Market Research Analyst
Average Base Salary p.a.: Rs. 3,39,325/-
Average Base Salary p.a.: Rs. 4,49,021/-
Average Base Salary p.a.: Rs. 4,50,000/-
Average Base Salary p.a.: Rs. 8,53,317/-
This lucrative industry offers many careers with handsome salaries. You can find great roles with good salary packages both in India and abroad. And the salary would vary depending on experience, skill, company, designation, location, etc. Let us take a look at the salary range of a Data analyst based on experience.
Experience in years
Average Base Salary p.a.
Less than 1 year
1 - 4 years
5 - 9 years
10 - 19 years
20 years and above
Note: The given details may vary depending on experience, skills, company, location, etc.
**Source of salary details: Payscale, Glassdoor
Scope after Data Analytics courses
There is always going to be a huge demand for top professionals who can convert complex data into simplified form. This will be the case in both the public and private sector, (education, health care management, entertainment, sports management, etc.) You will find abundance of opportunities both locally as well as globally. So go ahead and take some of the best data analytics courses and become a highly sought after professional.
Also check out data analytics courses provided by top providers from all around the world.
Q: Are there any online Data analytics courses?
A: Yes there are myriad online Data analytics courses offered by top institutes and educational providers from all around the world. But if you plan to become a data analyst / data scientist, Then you will need to take longer programs such as a degree which focuses on data analytics.
Q: What is the duration of Data analytics courses?
A: This would vary depending on the level. For UG courses, (BCA, B.Sc., B.Tech, etc.) the duration can range from three to four years. It would take you 2 years to complete PG in Data analytics courses. When it comes to Data analytics certification courses, it can range from a few weeks to a few months.
Q: What is the future of Data analytics courses?
A: The future is quite promising. All industries require strategic decision making. And this is only possible if the raw complex data is analysed properly. Thus you as a professional in data analytics enter into the picture.
Q: What are the different fee structures for Data analytics courses?
A: This would vary depending on the level. For diplomas, UG and PG courses can cost from a few lakhs to astronomical heights depending on your program, institute as well as the sector (public or private). Online data analytics courses range from free (sometimes completely free or sometimes for auditing only) to paid courses. The paid courses can range from a few thousand rupees to a few lakhs.
Q: Is it tough to master data analytics courses?
A: If you are good with mathematics and have some decent level of technical skills, then data analytics is something you can study. There are introductory data analytics courses which are for those who are in other fields. These would be relatively easy to study. To become a professional in the field, you will require mathematical and advanced technical skills.
Q: Is a data analyst a good job?
A: Skilled data analysts are among the world's most searched for specialists. Since the demand is so high and the availability of people who can do this job well is so small, data analysts have big pay and excellent benefits, including at the entry-level. Therefore, a career as a data analyst is a good job.
Q: Can data analyst be considered an IT job?
A: A data analyst functions as someone who can make the complex data into simplified form for the stakeholders. This profession thus requires skills in analytics, computer engineering, statistics, mathematics, etc. Due to the need for technical skills, a data analyst can be considered in the category of an IT job.
Q: How are the roles of data analyst and data scientist different?
A: As a data analyst you make sense out of the existing data. If you are a data scientist, then you work finding new ways to capture and analyze data that can be used by the analysts. This is the major difference.
Q: Mention some of the best institutes in the country to pursue UG / PG to become a data analyst?
A: Here are some of the institute you should look into:
- Watumull Institute of Electronics Engineering and Computer Technology, Mumbai
- JLU School of Engineering and Technology, Bhopal
- IIMT Institute of Engineering and Technology, Meerut
- Utkal Institute of Engineering and Technology, Bhubaneswar
- Sushila Devi Bansal College of Engineering, Indore
- Sardar Patel College Of Engineering, Bakrol