Last Updated on July 31, 2023 by Vishnu Nambiar
Are you looking for the list of online data analytics training programs in India? Do you want to pursue a decent data analytics course from home? If yes, this post will be of help to you. Here, I’ve compiled a list of best online data analytics programs in India.
Table of Contents
In this post, readers will find the following details – names of best online data analytics programs, fees, duration, eligibility criteria, syllabus and institutes. In short, this post contains all the important details that you need to know about online data analytics courses in India.
Why choose online learning mode, some of you may ask. Online learning process offers many benefits when compared to traditional classroom learning sessions. Here are some of the main benefits –
- Flexible timings
- Opportunity to learn from home
- Ability to access course content from multiple devices (smart TV, smartphone, laptop and PC)
- Chance to develop new skills
- Complete the program at your own pace
- Get access to evaluation tests/practice materials
- Get certified by reputed authorities
- Get access to course content and updates for life (in some cases)
Why choose data analytics, some of you may ask. Data analytics plays an important role in areas such as – IT, business, governance, healthcare, manufacturing, banking and finance, retail etc. Data analytics certification will give you access to new opportunities. It may help you get a better job or get a promotion or raise at work. It may also help you change your job profile. You may also check – B.Sc. Data Analytics course.
Before we check out the meat of the matter – list of online data analytics programs in India – let us take a closer look at this domain (data analytics). What is data analytics all about? What is it like to work in this sector? What does it take to thrive in this sector?
You will find answers to the above mentioned questions in the next section. Let us begin –
Data Analytics: An in-depth analysis
In simple terms, data analytics is the process of inspecting, cleansing, transforming and modeling data. The main aim of data analytics is – obtaining meaningful data from a large collection of data.
Let us consider a real life example. It is a well known fact that pharmaceutical firms carry out lab tests before launching a new drug in the market. Multiple drug samples are tested at the same time. During this phase, they collect different sets of data.
Data collected by them contains elements such as – quantity of the drug, chemical composition of each sample, condition of the subject’s body (where test was conducted), subject’s age, remarks etc. By the time the testing phase ends, they’d have collected a large amount of data.
This large chunk of data is largely useless. It simply makes no sense or meaning! Data collected in this way is subjected to further study and analysis. Manual data analysis techniques and relevant software are used to study and analyze the data. Large data collection is cleansed, refined and modeled to obtain meaningful chunks of data.
Once they have meaningful sets of data, things become manageable. They are able to form patterns, obtain insights and draw a conclusion. Based on their conclusion, they can identify the most effective sample. It is based on these findings that they plan and formulate their ‘plan of action’ (manufacturing selected sample on a large scale, carry out other tests, apply for patent etc).
The above example shows how data analytics plays an important role in the decision-making process. It also shows the role that data analytics plays in scientific research.
Data analytics is a broad field. It consists of sub-branches such as – data mining, visualization, data modeling, business intelligence, data product etc. We’ve already checked out a real life example showing data analytics in action. What does the actual data analytics process looks like, some of you may ask. Come, let us take a quick look at the various stages of data analytics process –
- Determining data requirements
- Data collection
- Data processing
- Data cleaning
- Exploratory data analytics
- Modeling and algorithms
- Data product
- Communication
Data is the driving factor behind data analytics process. If data analytics is a car, data is its fuel! Purpose of the analysis process, requirements of the people directing the process or consumer (who consumes the finished process of the analysis) – these factors determine data requirements. In simple terms, data requirements represent the types of data, which are necessary as inputs to the analysis.
Data collection, as the name suggests, deals with the process of collecting data from a variety of sources. Data collection techniques and practices depend upon data requirements set by the analyst.
Incomplete data, duplicate data, errors, incorrectly stored data – these are some of the common errors that occur while storing data. Data cleaning deals with preventing and correcting these errors.
Cleaned and refined data is easier to manage! After data cleaning, it is subjected to exploratory data analysis by an analyst. This phase primarily deals with ‘understanding’ the messages contained in the data. Data analysts may use different techniques – descriptive statistics or data visualization – for this task.
Variables for an important part of a data set. In order to analyze and interpret data, studying it become an important task. Data modeling and algorithms are used to identify relationships among the variables.
Come, let us check out the list of online programs now. Here it is –
Best online data analytics courses in India
1 PG Diploma in Data Analytics
This program deals with subjects such as –
- Predictive analytics using Python
- Machine learning
- Data visualization
- Business problem solving
This program has been crafted keeping the needs of engineers, marketing professionals, freshers and software professionals. People with zero coding knowledge or background may try this program.
Duration
Course duration may vary from one institute to another. Generally speaking, this course is 8-12 months long.
Eligibility criteria
Minimum educational qualification required to pursue this course is – completed Bachelor’s Degree.
Fees
This training program will cost you anywhere between 200-300K INR.
Syllabus
The program covers topics such as –
- Data toolkit
- Machine learning
- Deep learning
- Language processing
- Data analytics
- Business analytics
- Data engineering
2 M.Sc. Data Science
This program primarily deals with subjects such as – statistics, predictive analytics using Python, machine learning, data visualization and big data analytics. This program will help you build a decent career in data analytics sector.
People with no coding background may pursue this course. But this program has been crafted keeping the needs of software professionals, IT professionals and engineers in mind.
Duration
Course duration may vary from one institute to another. Generally speaking, this course is 12-18 months long.
Eligibility criteria
Minimum educational qualification required to pursue this course is – completed Bachelor’s Degree.
Fees
This training program will cost you anywhere between 300-400K INR.
Syllabus
The program covers topics such as –
- Machine learning
- Data visualization
- Deep learning
- Language processing
- Data analytics
- Business analytics
- Data engineering
3 PG Certification in Data Science
It is a postgraduate level certification program. It is a short-term training program. This program will train you in areas such as – statistics, predictive analytics using Python, machine learning, data visualization, MySQL etc.
After completing this training program, one may don the following roles in a relevant firm – data analyst, data scientist, product analyst, machine learning engineer or business analyst.
Duration
Course duration may vary from one institute to another. Generally speaking, this course is 3-6 months long.
Eligibility criteria
Minimum educational qualification required to pursue this course is – completed Bachelor’s Degree.
Fees
This training program will cost you anywhere between 50-80K INR.
Syllabus
The program covers topics such as –
- Machine learning
- Deep learning
- MySQL
- Data analytics
- Business analytics
- Data engineering
4 Certification in Business Analytics
It is a postgraduate level certification program. It is a short-term training program. The program deals with subjects such as – statistics and optimization, predictive modeling, machine learning, business problem-solving etc.
Folks involved in entrepreneurship and business will benefit from this program. Apart from them, IT professionals and software professionals will benefit from this program too.
Duration
Course duration may vary from one institute to another. Generally speaking, this course is 3 months long.
Eligibility criteria
Minimum educational qualification required to pursue this course is – completed Bachelor’s Degree.
Fees
This training program will cost you anywhere between 20-30K INR.
Syllabus
The program covers topics such as –
- Data analytics
- Data modeling
- Machine learning
- Business analytics
- Data engineering
5 EMBA in Business Analytics
EMBA stands for Executive MBA. This program deals with subjects such as – data analytics and management, data analytics and finance management, data analytics and marketing, data analytics and economics, data analytics and HR, data analytics and supply chain etc.
You may also check –
Folks working in corporate sector will benefit from this course. This training program has been crafted keeping the needs of marketing, HR, finance, operations and IT professionals in mind.
Duration
Course duration may vary from one institute to another. Generally speaking, this course is 18 months long.
Eligibility criteria
Minimum educational qualification required to pursue this course is – completed Bachelor’s Degree.
Fees
This training program will cost you anywhere between 400-500K INR.
Syllabus
The program covers topics such as –
- Management principles
- Data analytics
- Business intelligence
I am Vishnu Nambiar a career and educational blogger from India. I am also a full time educational consultant having more than 12 years of experience in the educational sector.
I share articles related to courses, colleges, careers, exam tips and more here.