Data Analytics Career Guide 2025: Courses, Skills, Jobs & Salaries
Data analytics is a rapidly growing field today, which enables businesses and individuals to make better decisions, solve problems, and plan for the future. If you are considering a career in data analytics, this article will provide you with everything you need to know, including what data analytics is, its types, eligibility criteria for learning data analytics, top data analytics courses, topics covered, job roles, and associated salaries.
- What is Data Analytics?
- Types of Data Analytics
- Data Analytics Courses: Eligibility Criteria
- Required Skillset for Data Analytics
- Data Analytics Courses
- Top Online Data Analytics Courses
- Data Analytics Syllabus
- Data Analytics: Job Profiles & Salaries
- Data Analytics: Top Companies
- FAQs Regarding Data Analytics
What is Data Analytics?
Data analytics is the method of using data to identify patterns and trends and extract valuable business insights, which can further contribute to informed decision-making and effective strategy formulation.
Types of Data Analytics
There are mainly 4 types of data analytics -
- Descriptive Analytics: It examines historical data to know what has occurred. The data is cleaned, aggregated, and displayed via charts or dashboards to make it simple to grasp.
- Diagnostic Analytics: Diagnostic Analytics identifies why something happened. It determines relationships and causes of patterns in the data, employing tools such as Excel, algorithms, or manual techniques.
- Predictive Analytics: Predictive Analytics applies machine learning and statistics to forecast future events. It's built on patterns in historical and existing data, but outcomes aren't guaranteed to be 100% accurate.
- Prescriptive Analytics: Prescriptive Analytics recommends the best course of action for optimal outcomes. It also quantifies the effect of each solution, enabling companies to make informed choices. It employs tools such as optimisation techniques and business rules.
Data Analytics Courses: Eligibility Criteria
In addition to certification or diploma courses, Data Analytics is also available at the postgraduate level as a specialisation stream in Computer Science and Management. Aspiring candidates must earn a bachelor's degree, ideally in statistics or information technology, with a minimum overall grade of 60% or an equivalent grade point average (CGPA). To work as a data analyst, you must have an undergraduate or a postgraduate degree in a relevant discipline, such as:
- Computer science
- Economics
- Information management
- Mathematics
- Statistics
- Marketing
- Finance
- Business information systems
Required Skillset for Data Analytics
Strong analytical and numerical skills are essential for a successful data analytics professional. Listed below are the main skills required to succeed as a data analyst -
1. Analytical and Numerical Skills
- Logical ability to analyse data.
- Ease of working with numbers and statistical sense..
2. Technical Knowledge
- Querying Languages such as Python, R, Julia, Java, Scala, JavaScript, SQL, C++, MATLAB, to extract data from databases.
- Scripting Languages such as Python and MATLAB are used for data manipulation and automation.
- Statistical Tools and languages, such as R, SAS, and SPSS, for statistical analysis and data modelling.
- Advanced MS Excel skills for basic data management, handling and visualisation.
3. Interpretive and Problem-Solving Skills
- Ability to interpret complex data.
- Ability to identify patterns, trends, and insights from data sets.
- Ability to communicate the analysis process and results to non-technical stakeholders
Data Analytics Courses
One can pursue Data Analytics at the UG, PG and doctoral levels. The most popular Data Analytics courses are mentioned below:
- Advanced Management Programme in Business Analytics & AI at ISB
- M.Sc. (Data Analytics) at Christ University, Bangalore
- B.Tech. in Computer Science Engineering (Data Analytics) at Galgotias University, Greater Noida
- BBA in Analytics and Big Data (Programming for Analytics) by UPES School of Business, Dehradun
- M.Sc. in Data Science at Women's Christian College, Chennai
- M.Sc. in Statistics and Data Analytics at Lovely Professional University
- B.Tech. in Computer Science and Engineering (Data Science) at KIIT School of Computer Engineering, Bhubaneswar
Top Online Data Analytics Courses
Listed below are some of the best online data analytics courses from the top colleges -
- Data Analytics for Business Strategy: Essential Tools and Applications by IIM Kozhikode
- Google Data Analytics Certificate
- BCA in Data Analytics by Amity Online
- PG Diploma in Big Data Analytics (PG-DBDA) by CDAC - Centre for Development of Advanced Computing
- MCA in Data Analytics by Jain Deemed-to-be University
- Executive Certification Programme in Data Analytics by IIM Rohtak
- Diploma in Data Analytics by Kurukshetra University Online
Data Analytics Syllabus
A data analytics course consists of the following topics:
| Course | Modules |
| Python | 1. Introduction |
| 2. Data Types & Functions | |
| 3. OOPS | |
| 4. Files & Exception Handling | |
| 5. Database & Web API | |
| 6. Statistics for Data Analytics | |
| Machine Learning | 1. Introduction to Machine Learning |
| 2. EDA and Data Preparation | |
| 3. Evaluation Metrics | |
| 4. Project Implementation Methods | |
| 5. Projects | |
| MySQL | 1. Introduction to MySQL |
| 2. Functions in SQL | |
| 3. Joins | |
| 4. Subqueries | |
| 5. Window Functions | |
| 6. Data Modelling & Normalisation | |
| 7. Project | |
| MS Excel | 1. Introduction |
| 2. Worksheets and Workbook | |
| 3. Functions | |
| 4. Data Cleaning & Validation | |
| 5. Data Visualization | |
| 6. Macros and VBA | |
| 7. Security Features | |
| 8. Project | |
| Power BI | 1. Introduction to Power BI |
| 2. Data Visualization | |
| 3. Data Modelling | |
| 4. DAX | |
| 5. Connectivity | |
| 6. Creating Reports | |
| 7. Publishing, Sharing & Scheduling Refresh | |
| 8. Projects | |
| AWS | 1. Collecting Data on AWS |
| 2. Storing Data on AWS | |
| 3. Processing Data on AWS | |
| 4. Analyzing Data on AWS | |
| 5. Visualizing Data on AWS | |
| 6. Securing Data Analytics Pipelines | |
| Tableau | 1. Tableau and Data Visualization |
| 2. Advanced Visualization Techniques & Real-World Applications |
Data Analytics: Job Profiles & Salaries
| Job Role | Salaries |
| Data Scientist | INR 4.0 - 29.6 LPA |
| Data Analyst | INR 2.0 - 14.0 LPA |
| Data Engineer | INR 4.0 - 22.0 LPA |
| Business Intelligence Analyst | INR 3.3 - 19.2 LPA |
| Financial Data Analyst | INR 2.0 - 12.0 LPA |
| Machine Learning Engineer | INR 3.5 - 25.0 LPA |
| Marketing Analyst | INR 2.1 - 15.0 LPA |
| Operations Analyst | INR 2.5 - 9.0 LPA |
| Quantitative Analyst | INR 5.0 - 40.0 LPA |
Salary Source: AmbitionBox (as of July 2025)
Data Analytics: Top Companies
Data Analysts are the most sought-after skilled professionals in the current world, not only in the Information Technology industry but also in Finance, Insurance, Banking, marketing and sales, Consumer Goods, Electronics, and Heavy Industries. Listed are the top companies that hire data analytics professionals.
| Companies Hiring Data Analytics Graduates | ||
|---|---|---|
| |
MachinePulse |
The Smart Cube |
| Fractal |
Amazon |
Novartis |
| Fractal Analytics |
JP Morgan Chase |
Capital One |
| RBS |
ICICI Bank |
Flipkart |
| Kotak Mahindra |
Accenture Consulting |
KPMG |
| Yahoo |
|
Tumblr |
| Tredence |
Cartesian Consulting |
Quantium Analytics |
| Deloitte |
HSBC |
Credit Suisse |
| Barclays |
Axis Bank |
E-bay |
| Expedia |
AT Kearney |
CRISIL |
| Microsoft |
|
Mu Sigma |
| BRIDGEi2i |
Flytxt |
Tata iQ |
| Citi Bank |
Deutsche Bank |
Nomura |
| HDFC Bank |
Yes Bank |
Snapdeal |
| Make My Trip |
E&Y |
Walmart Labs |
| |
|
ZS Associates |
| Brillio |
Bank of America |
|
Read more:
- MBA in Data Analytics - Career as an MBA in Data Analytics in India
- Big Data Analytics-The way ahead
- Career in Big Data Analytics
FAQs Regarding Data Analytics
Q. What are data analytics used for?
A. Data analytics is the science of analyzing raw data in order to make conclusions about that information.
Q. Is Data Analytics a good career?
A. Presently, skilled data analysts are some of the most sought-after professionals in the world.
Q. What is data analytics for beginners?
A. In the beginning of a Data Analytics course, candidates will be given insights into how to apply data and analytics principles in business, data visualisation and data science methodologies.
Q. How much is a data analyst paid?
A. According to reports it is estimated that the average entry-level business/data analyst salary for someone with up to two years of experience and a bachelor's degree is 5-10 LPA.
Q. Do data analyst code?
A. Data analysts don't need to have advanced coding skills but have experience with analytics software, data visualisation software, and data management programmes.
Q. How do I become a data analyst?
A. To become a data analyst, you must first earn a Bachelor's degree, which is a requirement for most of the entry-level data analyst positions. The relevant disciplines include Finance, Economics, Mathematics, Statistics, Computer Science, and Information Management.
Q. Do data analysts need to be good at math?
A. As a data analyst, candidates should have a good grasp of mathematics, and you should be able to solve common business problems.
Q. Is it hard to be a data analyst?
A. The transition to becoming a Data Scientist is not very difficult for Data Analysts since they already have some relevant skills.
Q. What skills does a data analyst need?
A. Data Analysts require skills such as Structured Query Language (SQL), Microsoft Excel, Critical Thinking, R or Python–Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning, etc.
Q. Is Excel a data analysis tool?
A. The Analysis Tool – Pak is an Excel add-in program that provides data analysis tools for financial, statistical and engineering data analysis

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Name: Rashmi Karan
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