The Ultimate 2025 Guide to the Best Data Science Courses Online in India

Data Science Courses Online

Because we now live in a time where data is very important, taking data science classes online is a great way to create a good job that will last and pay well. It doesn’t matter if you are a student who just finished high school, someone who finished college, or someone who already has a job; there is a data science class online that will fit what you know and what you want to do.

In this text, we will look at the top data science programmes you can find online, different places to take classes, how much the classes cost in India, what kinds of jobs you can get, and how to begin, even if you don’t know anything about it yet.

✅ Also Read:
🔹 Data Science Courses After 12th
🔹 How to Become a Data Scientist in India
🔹 Data Scientist Salary in India

Why Choose Online Data Science Courses?

  • Learn from anywhere – Flexible, self-paced, or instructor-led options
  • Affordable – Lower cost than traditional degrees
  • Latest content – Stay up to date with AI, ML, Python, and big data
  • Top certifications – From IITs, NITs, IBM, Google, and more
  • Career-ready – Portfolio projects, job assistance, mentorship

Types of Online Data Science Courses

Course TypeDurationBest ForTopics Covered
Beginner Courses1–3 monthsStarters with no backgroundPython, Excel, basic stats
Certifications3–6 monthsGraduates or job-seekersData analysis, ML, SQL
PG Programs9–12 monthsCareer switchersFull-stack data science
Online Degrees1–2 yearsAcademic learnersDegree credentials
SpecializationsVariableUpskilling professionalsAI, NLP, Big Data

🎓 Want to start early? Check our full guide on Data Science Courses After 12th.

📌 Live Data Science Courses in India (2025–2026)

Here are some of the best current online data science programmes in India with up-to-date info on duration, fees, and course details:

TypeDurationAverage Fees
Short-Term / Certificates1–3 months₹0 – ₹20,000
Intermediate / Specializations3–6 months₹25,000 – ₹1,00,000
PG Diploma / Advanced6–12 months₹1.5 – ₹3.5 Lakhs
Online Degree / M.Sc.1–2 years₹2 – ₹5 Lakhs

Best Global Online Data Science Courses

For international credentials or flexible global programmes:

  • Harvard’s Data Science Certificate (edX)
  • Google Data Analytics (Coursera)
  • MIT Professional Education
  • upGrad + IIIT Bangalore PG Programme
  • Purdue + IBM (Simplilearn PG Program)

Course Fees – Online Data Science (India)

TypeDurationAverage Fees
Short-Term / Certificates1–3 months₹0 – ₹20,000
Intermediate / Specializations3–6 months₹25,000 – ₹1,00,000
PG Diploma / Advanced6–12 months₹1.5 – ₹3.5 Lakhs
Online Degree / M.Sc.1–2 years₹2 – ₹5 Lakhs

💡 Want to know if it’s worth it? See Data Scientist Salary in India.

Career Scope After Online Data Science Courses

India is among the top 3 countries hiring data science professionals. Here are common roles you can apply for:

  • Data Analyst
  • Business Intelligence Analyst
  • Data Scientist
  • Machine Learning Engineer
  • AI Developer

Average Salary in India (2025)

LevelAvg Salary
Entry-level (0–2 yrs)₹6–8 LPA
Mid-level (3–5 yrs)₹10–15 LPA
Senior (5+ yrs)₹18–25 LPA+

Explore full details here → Data Scientist Salary in India

How to Choose the Right Course

Here’s a quick checklist to select the right data science course:

✅ Covers key topics: Python, SQL, stats, ML
✅ Offers real-life projects & capstones
✅ Recognised certificate (IIT, NIT, or global brands)
✅ Flexible learning + mentor support
✅ Placement assistance or job readiness support
✅ Affordable fee structure (EMI / scholarships)

A Way to Learn for Newcomers

If you don’t have any experience, here’s an easy plan to follow:

  1. Study Python and Excel
  2. Get an easy-to-understand certificate
  3. Practice using SQL and Data Viz (Power BI/Tableau)
  4. Learn the basics of ML by doing practical tasks
  5. Create a collection of your work on GitHub or Kaggle.
  6. Sign up for an advanced certificate or diploma programme.
  7. Look for internships or short-term jobs

🎓 Check: Data Science Courses After 12th for School Students

💬 Stories from People Who Learnt

1. From Selling Things to Analysing Data in 9 Months (Working Person)

“I used to sell things and didn’t know anything about technology. I joined an advanced programme in data science with upGrad, and at first, I had trouble with Python. But with help from mentors and doing real projects, I became more confident. By the time I finished the programme, I had done 3 big projects and started looking for jobs on LinkedIn. In just 2 months, I got a data analyst job at a finance company with a 70% pay increase. Learning online totally changed my job path!”
Vivek Sharma, Age 31, Hyderabad

2. College Student Who Got an Internship Because of Their Kaggle Portfolio

“I began learning data science after finishing high school by watching free videos on YouTube and using Coursera. Then I signed up for a certification course from Edureka that focused on Python, Pandas, and ML. I put all my projects on GitHub and participated in easy Kaggle contests. Someone looking to hire people saw my Kaggle page and offered me an internship working from home for a startup in the US. Now I have 6 months of work experience even before I graduate!”
Priya Jakeer, Age 24, Final Year B.Sc. Student, Jaipur

FAQs – Online Data Science Courses

Q. Can I get a job with just an online course?

Yes — if you focus on real projects and practical learning.

Q. Do I need coding to start?

No. Many beginner courses start from scratch. But Python is essential later.

Q. Are Indian certifications (IIT/NIT) better than international ones?

Both have value. Choose based on goals, budget, and recognition in your target job market.

Q. How long to become job-ready?

It takes 3–12 months, which depends on how hard you work and what you already know.

Final Thoughts

Because of online classes, anyone—from students who finished high school to people who already have jobs—can start working in data science if they have the correct class and plan. Begin with something easy, improve your skills bit by bit, and try to have a collection of many projects.

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