Siksha Sarovar

Siksha Sarovar (sikshasarovar.com) is a free educational web application that helps students in India learn programming and prepare for academic and competitive exams. The platform offers structured coding courses (C, C++, Python, Java, HTML, CSS, PHP, Power BI, AI, Machine Learning, Data Science), complete university curriculum notes for BCA/MCA students with previous year question papers, Class 10 and Class 12 CBSE/HBSE school notes, and dedicated preparation material for SSC, UPSC, Banking, Railway and other government exams. Browsing the site is completely free and requires no account. Users may optionally sign in with Google solely to save their learning progress, quiz scores and personal preferences across devices.

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Siksha Sarovar
Your Learning Universe

Siksha Sarovar is a free e-learning platform for coding courses, BCA university notes and competitive exam preparation. Optional Google sign-in saves your learning progress across devices.

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Free Data Science Course in India 2026 — Complete Learning Roadmap

Data science is one of the most in-demand career tracks globally — and India is producing more data science professionals than any country outside the United States. The challenge for Indian students is not access to information; it is a clear, structured roadmap that does not require paid courses, bootcamps, or expensive certifications. This is that roadmap, built entirely on free Siksha Sarovar resources.

The complete data science learning roadmap

  1. Python — Start here. Learn variables, data types, functions, OOP, and libraries (NumPy, Pandas). Duration: 3-4 weeks for beginners.
  2. Probability & Statistics — Descriptive statistics, probability distributions, hypothesis testing, correlation, and regression. This is the mathematical backbone of all ML and data science work.
  3. Data Science — Exploratory data analysis (EDA), data cleaning, feature engineering, data visualisation with Matplotlib and Seaborn, and working with real datasets.
  4. Machine Learning — Supervised and unsupervised algorithms, model evaluation, cross-validation, and practical projects (house price prediction, customer segmentation, sentiment analysis).
  5. Artificial Intelligence — Neural networks, deep learning fundamentals, natural language processing, and computer vision basics.
  6. Big Data — Hadoop, HDFS, MapReduce, and Apache Spark for processing datasets at scale.

Career paths in data science

  • Data Analyst — Excel/SQL/Python for business reporting, dashboards (Power BI, Tableau).
  • Data Scientist — ML models, statistical analysis, A/B testing, research.
  • ML Engineer — Deploying models to production, MLOps, model optimisation.
  • AI Engineer — LLM fine-tuning, generative AI applications, multimodal systems.

Tools you will learn

Python (pandas, NumPy, scikit-learn, TensorFlow), SQL (for data querying), Jupyter notebooks, Matplotlib/Seaborn, and Spark basics — all covered across the Siksha Sarovar courses above. Run Python and SQL directly in the online compiler. Use Power BI notes for business intelligence and reporting skills.

Begin your data science journey: open the free Python course today — the first step toward a career in data science starts with a single Python program.