Big Data Analytics Course - Eligibility, Admission Process, Fee, Syllabus, Career Scope, Salary

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Sep 13, 2023 10:48AM IST

What is Data Analytics Course?

Data Analytics Course deals with the collection, analysis, and organization of data in order to make calculated decisions or predict future outcomes. Data Analysis majorly plays around with figures and evaluates business patterns that help the organization in expanding its revenue. The profile requires rigorous market research and logistic analysis. Using sophisticated analytical tools and methods, data analysis work may include projections, data visualizations, and creating content. To pursue a career in this field, taking statistics and research methodology is a smart move. In addition to the core curriculum, the data analysis course includes in-depth knowledge of computer programs like Microsoft Excel, Microsoft Access, SharePoint, and SQL databases. Data Analysts are often asked to participate in strategic planning activities as well. The duration of the Data Analytics Course is 1- 4 years and can be pursued through offline, and online platforms. 

Data Analytics Course Admission is done at undergraduate and postgraduate levels. Candidates who wish to pursue a data analytics course have to pass class 10+2 with at least 50-60% marks in aggregate from a recognized institute. Some of the top platforms offering Data Analytics Courses are Coursera, Udemy, Linkedin Learning, Simplilearn, etc. The average Data Analytics Fee at the undergraduate level is approximately INR 1,00,000 to 13,00,000, whereas at the postgraduate level is INR 14,000 to INR 20,00,000.

Industry experts believe that analytics has been a big trendsetter since 2018. Experts predict a significant increase in the adoption of analytics in healthcare, the application of behavioral sciences in analytics, and the use of unstructured and alternative sources of data such as TV analytics, speech analytics & weather analytics. After the conclusion of the data analytics course, candidates are offered jobs in sectors such as Data scientist, Business analyst, Data analyst, Data architect, Operations Analyst, etc. Data Analytics Salary approximately ranges from INR 5,00,000 per annum to INR 16,00,000 per annum where experienced ones can have an average salary of INR 20,00,000 per annum.

LATEST - Data Analyst vs. Data Scientist: Which is a Better Career Option?

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Data Analysis Course Highlights

The highlights of Data Analysis Course tates the overview of  the etire course. This helps candidates to understand the topic discussede here in this page.

Popular data analysis courses
  • B.Tech in Big Data Analytics
  • BCA in Data Science
  • B.Sc in data science and analytics
  • B.Sc  in Statistics and data analytics
  • B.Sc in data science
  • MTech in Big Data Analytics
  • M.Sc in Data Science and Data Analytics
  • M.Sc in computer software applications
  • M.Sc in Statistics and data analytics
  • M.Sc in Big Data Analytics
  • PG Diploma
  • Undergraduate - 3 years - 4 years
  • Postgraduate - 1 year - 2 years
Admission criteria
  • Undergraduate - Completion of 10+2 with Physics, Chemistry, Mathematics from a recognized institute with at least 60 percent aggregate.
  • Postgraduate - Completion of bachelor’s degree in related discipline with at least 50 percent aggregate.
  • Undergraduate - Rs. 1 lakh to Rs. 13 lakhs 
  • Postgraduate -Rs. 14,000 to Rs. 20 lakhs
  • Undergraduate -Rs. 5 lakhs per annum to Rs. 16 lakhs per annum
  • Postgraduate - Rs. 10 lakhs per annum to Rs. 25 lakhs per annum


Big data analysis jobs

  • Data scientist
  • Business analyst
  • Data analyst
  • Data architect
  • Data mining engineer
  • Research analyst
  • IT Systems Analyst, Operations Analyst, Data Engineer, Big data architect, data analyst, big data developer.
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Who is Eligible for Data Analytics Course?

Candidates who are interested in pursuing the Data Analysis Course are advised to check the eligibility criteria of the course before applying it so that they do not waste time on such a course that is not their best fit. The Data Analysis Course Eligibility Criteria have been listed in the pointers below.

 Data Management/ Data Analysis Eligibility Criteria For Undergraduate Course 

The eligibility criteria for the Data Analysis Course at the undergraduate level have been listed in the following pointers.

  • Candidates have to complete their class 10+2 with Physics, Chemistry, and Mathematics from a recognized institute.
  • They must also have a minimum aggregate of 60% in their class 10+2 in order to get admission into a big data analytics course at the bachelors level
  • If a candidate has studied computer science in 10+2, it will be considered an advantage in clearing the eligibility criteria during the admission process

 Data Management/ Data Analysis Eligibility Criteria For Postgraduate Course 

The eligibility criteria for the Data Analysis Course at the postgraduate level have been listed in the following pointers.

  • Candidates willing to apply for the postgraduate degree in big data analytics should have a bachelor’s degree in the related discipline from a recognized institute across the nation.
  • Candidates also need to score a minimum 50% aggregate in their bachelor’s degree in order to pursue a postgraduate degree.
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Types of Data Analytics Courses

The types of data analysis courses have been listed in the following headers.

Which is the Best Data Analytics Course Online?

The table below highlights the Data Analysis Certification Courses from renowned institutions offering quality courses at a pocket-friendly course fee.

Course NameOffered byDurationFees
Data Analysis and Decision Making – IIIT Kanpur via Swayam112 WeeksFree
Data Analysis with RFacebook via Udacity2 MonthsFree
Data Analysis with R ProgrammingGoogle via Coursera5 WeeksFree
Computing for Data AnalysisGeorgia Institute of Technology, Atlanta via Edx15 WeeksFree
Data Analytics with PythonIIT Roorkee via Swayam12 WeeksFree
Data Analysis Courses for BeginnersJigsaw Academy1 MonthRs. 2,800
Professional Certificate Programme in Advanced Data Analytics for ManagersIIM Kozhikode via Eruditus10 MonthsRs. 1,65,000
Data Analysis and VisualizationManipal Prolearn75 HoursRs. 35,000
Statistical Analysis for Data ScienceManipal Prolearn via Equifax25 HoursRs. 9,200
Multivariate Data AnalysisVGSOM IIT Kharagpur5 DaysRs. 10,000

Top 5 Data Analytics Courses in India

As per the latest trends, we have sketched some of the top 5 data analytics courses in India. Candidates who are eager to pursue the course can refer to the table below to find all the necessary information about the same.

Course NameProviderWhat is it all about?Course Fee/ Duration
Google Data Analytics Professional CertificateCoursera
  • Google career certificate
  • Projects, and assignments
  • Option to learn as per preferred study pace
INR 1,149 (1 month)
INR 2,299 (3 months)
INR 3,448 (6 months)
Advanced Certification in Data Analytics E&ICT Academy, IIT Kanpur
  • Certificate from E&ICT Academy and IIT Kanpur
  • 7 industry projects
  • Placement assistance by Advancer

Self-paced - INR 79,900

Live online lectures – INR 1,19,900

Microsoft Excel Data Analysis - Learn how the Experts use it  Udemy
  • Up to 90% discount
  • Certificate of completion
  • 30-day money-back guarantee
Click on the link and get up to 90% discount
Become a Data Analyst Linkedin Learning
  • Free certificate of completion from LinkedIn
  • Opportunity to showcase skills and get a job offer via the LinkedIn network
INR 3,262
Excel Skills for Data Analytics and Visualization Specialization Coursera
  • Certificate of completion from Coursera
  • Projects, and assignments
  • Option to learn as per preferred study pace
INR 4,023 (1 month)
INR 8,046 (3 months)
INR 12,069 (6 months)


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Data Management/ Data Analysis Syllabus

Data Analysis is an extensive study that requires technical expertise as well as a strong business sense. A broad course content structure for Data Analysis includes:

Semester ISemester II
Statistical MethodsFoundations of Data Science
Probability & Stochastic ProcessAdvanced Statistical Methods
Linear Algebra & Linear ProgrammingMachine Learning I
Computing for Data Sciences using R, Python, and JavaEnabling Technologies for Data Science I (Theory & Lab)
Database Management – Relational and Non-RelationalValue Thinking
Python Programming (Theory & Lab)Elective Course
Semester IIISemester IV
Enabling Technologies for Data Science 2 (Theory & Lab)Internship based Project work
Machine Learning 2 including Deep Learning-
Data Visualization with Tableau-
Modeling in Operations Management-
Elective Courses-

Data Analytics Subjects

Given below are some of the Data Analytics Course Subjects in the following tables -

Data Structure and Algorithms

Binary search treesSorting
Hash TablesArray, Iteration, and Invariants
Efficiency and complexitiesTrees
SearchingList, recursion, stacks, and queues 

Probability and Statistics

Probability modelsSampling Distributions and Limits
Statistical inferencesBayesian Inferences
Model CheckingRelationship among variable
Random Variable and distributionExpectations
Optimal Inferences-

Business Fundamentals

Ethics and Social ResponsibilityThe Foundations of Business
Motivating EmployeesManaging Human resources
Structuring organizationsTeamwork in Business
Economics of BusinessOperations Management

Text Analytics

Natural language basicsText classification
Semantic and Sentiment AnalysisText Summarization
Processing and understanding textText Similarity and Clustering 

Data Collection

Survey SamplingObservational result
Extracting and Presenting StatisticsAnalysis of Unstructured Data
Statistical Techniques-

Data Visualization

Customized geographic mapCSS
Creation of Bar Chart, Scatter PlotJava
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Data Analysis Upcoming Trends

Big Data Analysis has been changing organizations and enterprises immensely over the last few years. With companies peeking further into the standard ways of analysis, the significance of big data analytics has increased multifarious. This has led to increased acquisitions from private companies in big data Analysis. Some of the latest trends in Big Data Analysis are as follows-

  1. In-memory Computing - In-memory computing denotes utilizing a type of middleware software that permits one to store data in RAM, across an assemblage of computers, and process it in parallel.
  2. Data-As-A-Service - In computing, Data-As-A-Service, or DaaS, is a phrase used to illustrate cloud-based software instruments used for working with data, such as handling data in a data warehouse or analyzing data with business intelligence.
  3. Data Analysis Automation - Data analytics automation is the process of using advanced computer programs and simulations to examine digital information.
  4. Augmented Analytics - Augmented analytics is a class of analytics powered by artificial intelligence (AI) and machine learning (ML) that expands a human's ability to interact with data at a contextual level.
  5. Smart Cities Development - The main goal of Smart Cities Development is to optimize city functions and promote economic growth while also improving the quality of life for citizens by using smart technologies and data analysis.
  6. Enterprise Content Management - Enterprise content management is a set of defined processes, strategies, and tools that allows a business to effectively obtain, organize, store, and deliver critical information to its employees, business stakeholders, and customers.
  7. IoT Merged with Data Analytics - Merging Data Analytics and IoT will Positively Impact Businesses from the viewpoint of volume, structure, driving revenue, streaming analytics, spatial analytics, time series analytics, and perspective analytics.
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Big Data Analytics Tools

A Data Analyst equips the best data analytics tools to accumulate insights from data. Every day 2.5 Quintillion bytes of data are developed. Here are the top data analytics tools everyone should use in 2023.

ToolDetailsCompanies Using
TableauTableau is a free tool that allows candidates to perform on a live data set and consume less time on Data Wrangling.
  • Citibank
  • Deloitte
  • Skype
  • Audi
Microsoft ExcelMicrosoft Excel delivers users with components such as sharing workbooks, working in real-time collaboration, adding data to Excel directly from a photo, and many more features.
  • McDonald’s
  • IKEA
  • Marriott
Apache Spark
  • Apache Spark provides an open-source community and an interface for programming which identifies any fault tolerance and implicit data parallelism.
  • The current version of Apache Spark is version 2.4.5.
  • Oracle
  • Hortonworks
  • Verizon
  • Visa
  • QlikView is a Business Intelligence, Data Visualization, and Data Analytics tool that helps accelerate business value
  • A variety of tools and services are available either for free or for a free trial of 30 days.
  • NHS
  • KitchenAid
  • Samsung
  • Konstanz Information Miner (KNIME) is free and open-source for data analytics, reporting, and integration. 
  • KNIME provides two software: the KNIME Analytics Platform and KNIME Server.
  • Siemens
  • Novartis
  • Deutsche Telekom
  • Continental
  • RapidMiner is a tool for data processing and building Machine Learning models.
  • Studio, GO, Server, Real-Time Scoring, and Radoop are the products of RapidMiner.
  • BMW
  • Hewlett Packard Enterprise
  • EZCater
  • Sanofi
Power Bl
  • Power BI is a Microsoft-based product used in business analytics
  • Power BI Desktop, Power BI Pro, Power BI Premium, Power BI Mobile, Power BI Embedded, and Power BI Report Server are the products of Power BI.
  • Adobe
  • Heathrow
  • Worldsmart
  • GE Healthcare
  • Splunk is a tool used to analyze the data gathered from applications and websites. 
  • Splunk Free, Splunk Enterprise, and Splunk Cloud are the features of Splunk that can be gathered for free for a limited period of time.
  • Dominos
  • Otto Group
  • Intel
  • Lenovo
  • Talend is a tool that easily manages all the steps involved in the ETL process and delivers accessible and clean data for users
  • Talend Open Source, Stitch Data Loader, Talend Pipeline Designer, Talend Cloud Data Integration, and Talend Data Fabric are products that are either free or available for free for 14 days.
  • ALDO
  • ABInBev
  • EuroNext
  • AstraZeneca
R and Python
  • R and Python are programming languages utilized in the Data Analytics field
  • R is a tool employed for Statistics and Analytics whereas Python is a high-level deciphered language.
  • ANZ
  • Google
  • Firefox
  • YouTube
  • Netflix
  • Facebook
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Data Management/ Data Analysis Career Options and Job Prospects

Data Analyst is a business research profile where you are responsible for analyzing data and helping the company take important business decisions. A data analysis specialist or data analyst’s job is to use that data to help companies make better business decisions. This could include figuring out mechanisms to price new materials in the market, figuring out ways to reduce transport costs, finding cost-cutting methods for a company, and determining the workforce to bring out optimum productivity. Since the role is so central to business development, most firms require a data analyst, and job opportunities are very bright.

If you want to make a major leap in your career and get an exponential increase in salary, then an executive program or certification from one of the top B-schools is the best option for you. 

The broad fields where Data Analysis is extensively used include:

Higher EducationFinanceBusiness Intelligence
MarketingData QualitySales
Data Assurance--

After successful completion of a Data Analysis course, the key responsibilities of a Data Analyst include:

  • Develop records management processes and policies
  • Conceptualize & maintain automated data process
  • Identify, assess, and implement external services and tools to support data validation
  • Monitor and audit data quality
  • Collate and document detailed business requirements using appropriate tools and techniques
  • Design and conduct surveys and analyze survey data
  • Create data dashboards, graphs, and visualizations
  • Conduct sector and competitor benchmarking
  • Mine and analyze large datasets, draw valid inferences, and present them successfully to management using a reporting tool

After having pursued a certification or PG diploma in data analysis, you can expect your salary to start from Rs. 10 lakh per annum. Salary varies from city to city, for example, the starting salary in Mumbai will be around Rs. 12.19 lakh per annum. Whereas, the starting salaries in Delhi and Bangalore will vary between Rs. 10 and Rs. 10.5 lakh. 

Salaries increase with experience and an individual working in this field for 10 to 12 years is expected to earn up to Rs. 25 lakh per annum. For other PGDM and management programmes check Specializations in SAS, Data Modeling, R, and Big Data at a senior level can also increase your chances of growth in the Data Mining & Data Analytics industry.

Aureus Analytics, a Customer Intelligence and Experience Company predicts prospects of data and its implementation to grow 50 times by 2020. They further go on to say that currently, India faces a deficit in the talent pool that has the ability to analyze this huge data pool, thereby creating a skill gap in the industry. So interested students stand a fair chance of excellent growth in a career in Data Analytics.

With a data analysis degree in hand, aspirants can work in the following capacity:

  • Data Analyst
  • Operations Manager
  • (Senior) Business Analyst, IT
  • Project Manager, IT
  • Vice-President, Operations
  • Business Consultant
  • Analytics Manager

Top Recruiters of Data Analytics Course

Some of the top recruiters of data analytics courses have been listed in the following table along with their average annual salaries.

CompaniesAverage Annual Salary
GoogleINR 23,20,000
MicrosoftINR 24,40,000
OptumINR 13,30,000
UnitedHealthINR 9,30,000
DeloitteINR 7,80,000
IBMINR 7,00,000
CognizantINR 5,50,000
FlipkartINR 5,20,000
AmazonINR 5,20,000
AccentureINR 5,10,000
TCSINR 4,70,000
CapgeminiINR 4,40,000
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FAQs about Data Analysis

What are the skills required to be successful in data analysis field?

Analytical skills, Observational skills, Machine learning, Programming in any of Java, SQL, Python, Scala, MATLAB are the skills required to be successful in data analysis field.

Who are the top recruiters of Data Analysis Candidates?

Government departments, Businesses, Corporate, Schools and universities, Libraries, Stock exchange companies are the top recruiters of Data Analysis Candidates.

Which are the upcoming trends in data analytics courses?

In-memory Computing, Data-As-A-Service, Data Analysis Automation, Augmented Analytics, Smart Cities Development, Enterprise Content Management, and IoT Merged with Data Analytics are some of the top upcoming trends in the data analytics industry.

Which are the top tools of Big Data Analytics?

Tableau, Microsoft Excel, Apache Spark, Power Bl, R, and Python are some of the top tools of Big Data Analytics.

Which is better artificial intelligence or big data analytics?

The difference between artificial intelligence and big data is based on the output of each. Artificial intelligence analyzes inputs to understand and improve its sorting or patterning processes over time, using data that it gathers to provide a more accurate diagnosis.

Can I be a data analyst if I'm bad at mathematics?

Data analysts need to be good with numbers, and a foundational knowledge of Math and Statistics can be helpful, much of data analysis is just following a set of logical steps. As such, people can succeed in this domain without much mathematical knowledge.

Which country is best for big data analytics?

Some of the countries best for big data analytics are the USA, UK, Canada, France, Australia, and New Zealand.

Does big data require mathematics?

Mathematics is an integral part of data science. Any practicing data scientist or person interested in building a career in data science will need to have a strong background in specific mathematical fields.

Does big data analytics need coding?

Yes, coding is essential when you pursue a Data Analytics Degree Online. However, it does not demand highly advanced programming skills. But it is a must to master the basics of R and Python. Also, an extensive proficiency in querying languages like SQL is more than necessary.

What is big data analytics salary?

The average salary for a Big Data Analyst in India is INR 6.6 Lakhs per year (INR 55,000 per month). 

Is data analyst an IT job?

Data analysis is not necessarily an IT (information technology) job but requires working with IT tools and systems. Data analysis involves using statistical and computational techniques to derive insights from data, which can be applied in various industries such as healthcare, finance, marketing, and more.

Is Big Data Analytics a good career option?

Big Data Engineer is a well-known and more demanding career option. Data Engineers are the professionals responsible for building the designs created by Solution Architects. They are responsible for developing, testing, managing, and maintaining big data solutions in enterprises.

What is the eligibility criteria for big data analytics course?

The eligibility criteria for big data analytics courses are candidates should pass class 10+2 from a recognized university with Physics, Chemistry, and Mathematics and an aggregate of 50% marks.

What is big data analytics courses?

Data Analytics courses are to help candidates master Big Data Analytics by helping them learn its root conceptions and technologies including prediction models, simple linear regression, machine learning, deep learning, etc. 

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Related Questions


Anil kumar, Student / Alumni

-Answered on Dec-28-2023
1 year ka h sir

shailesh kumar, Student / Alumni

-Answered on Dec-21-2023
12th pass with pcm (2010)

Sukriti Vajpayee, CollegeDekho Expert

-Answered on Nov-07-2023

Dear student,

The course of Post Graduate Diploma in Law (PGD in Law) is not offered at Apex University, Jaipur. The university provides law programmes of the undergraduate and postgraduate levels only. If you meet the eligibility criteria for the programmes of LL.B or LL.M at Apex University then you can apply for admission to these programmes instead.

If you seek a good law college in Rajasthan that offers PGD in Law, you can check out Raffles University which is located in Neemrana. There are other law institutes in Rajasthan that prove diploma in law and are quite recognised and popular.

In order to find the best college for yourself, fill the Common Application Form (CAF) and get a chance to apply at multiple colleges with just one form. Upon the successful submission of the form, you will also be assigned an admissions expert who will contact you and understand all of your requirements. Based on your preferences, he/ she will give you the options of some of the best law college for you to take admission in.

For any admission related queries, please call on the toll-free student helpline number of CollegeDekho - 1800-572-9877. Do write back to us if you have more questions to ask.

Thank you.

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