Python for Data Science 2026
Python is the #1 programming language for Data Science. With 75% of data scientists using Python as their primary language, mastering Python for data science is non-negotiable for a data career in 2026.
Python Libraries for Data Science
NumPy: Numerical computing. Pandas: Data manipulation. Matplotlib/Seaborn: Visualization. Scikit-learn: Machine learning. TensorFlow/PyTorch: Deep learning. Statsmodels: Statistical analysis.
Python Data Science Roadmap 2026
Week 1-4: Python basics (syntax, OOP, functions). Week 5-8: NumPy + Pandas (data manipulation). Week 9-12: Data visualization (Matplotlib, Seaborn, Plotly). Week 13-16: Machine learning with Scikit-learn. Week 17-20: Deep learning basics. Week 21-24: Projects + portfolio building.
Best Projects to Build
1. Stock price prediction (regression). 2. Customer churn analysis (classification). 3. Sentiment analysis (NLP). 4. Recommendation system. 5. Image classification (CNN). 6. Sales forecasting (time series).
Free Resources for Python Data Science
Kaggle Learn (free), Google Colab (free GPU), YouTube — Ken Jee, StatQuest, Sentdex. Books: Python for Data Analysis (Wes McKinney), Hands-On ML (Aurélien Géron).
Salary After Python Data Science Course
Entry level (0-2 years): ₹6-10 LPA. Mid-level (2-5 years): ₹12-25 LPA. Senior Data Scientist (5+ years): ₹25-50 LPA. Companies: TCS, Wipro, Flipkart, Amazon, Google, JP Morgan, Deloitte.
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