Python for Data Science — Complete Beginner Roadmap 2026
Step-by-step roadmap to learn Python for Data Science and Machine Learning. Covers NumPy, Pandas, Matplotlib, Scikit-learn, and SQL. Free resources included — Kaggle, Google Certificate, YouTube playlists. Go from zero to job-ready in 16 weeks.
Data Science Learning Roadmap
Python Fundamentals
Variables, loops, functions, lists, dictionaries, file handling. Complete our Python tutorial first.
Start Learning →NumPy & Pandas
NumPy for numerical computing (arrays, math). Pandas for data manipulation (DataFrames, filtering, grouping, merging).
Data Visualization
Matplotlib for basic plots. Seaborn for statistical charts. Plotly for interactive dashboards.
SQL + Statistics
SQL queries (SELECT, JOIN, GROUP BY). Basic statistics (mean, median, std dev, correlation, hypothesis testing).
Machine Learning (Scikit-learn)
Linear/Logistic Regression, Decision Trees, Random Forest, KNN. Train-test split, cross-validation, metrics.
Projects + Portfolio
Build 3 Kaggle projects. Create a portfolio website. Apply for jobs/internships.
Start Learning →Essential Python Libraries for Data Science
| Library | Purpose | Key Functions |
|---|---|---|
| NumPy | Numerical computing | np.array(), np.mean(), np.reshape(), broadcasting |
| Pandas | Data manipulation | DataFrame, read_csv(), groupby(), merge(), fillna() |
| Matplotlib | Basic plotting | plt.plot(), plt.bar(), plt.scatter(), plt.show() |
| Seaborn | Statistical visualization | sns.heatmap(), sns.boxplot(), sns.pairplot() |
| Scikit-learn | Machine Learning | fit(), predict(), train_test_split(), accuracy_score() |
| Plotly | Interactive charts | px.line(), px.bar(), px.scatter(), dash apps |
Free Resources (No Payment Needed)
- Kaggle Learn — Free micro-courses on Python, Pandas, ML (with certificates)
- Google Data Analytics Certificate — Coursera (audit free, certificate paid)
- CampusX YouTube — Complete Data Science playlist in Hindi (100+ videos)
- freeCodeCamp — Data Analysis with Python (free certificate)
- Khan Academy — Statistics & Probability (free)
- Kaggle Competitions — Practice on real datasets, build portfolio
- Our Python Tutorial — Start here for Python basics