Data Science Practice Courses
July 1, 2026 · View on GitHub
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Learn Data Science with this comprehensive learning path designed for beginners. These Data Science Courses provide a structured roadmap for exploring data analysis and interpretation. Master essential concepts and tools through hands-on, non-video lessons and practical exercises in an interactive playground, strengthening skills in statistical analysis, machine learning, and data visualization.
| Index | Course | Difficulty | Repository | Practice |
|---|---|---|---|---|
| 01 | 100 Pandas Exercises | Beginner | Repo | Start Lab |
| 02 | Pandas for Beginners | Beginner | Repo | Start Lab |
| 03 | Supervised Learning: Regression | Beginner | Repo | Start Lab |
| 04 | NumPy for Beginners | Beginner | Repo | Start Lab |
| 05 | 100 NumPy Exercises | Beginner | Repo | Start Lab |
| 06 | Scikit-learn for Beginners | Beginner | Repo | Start Lab |
| 07 | Matplotlib for Beginners | Beginner | Repo | Start Lab |
| 08 | Pandas Practice Challenges | Beginner | Repo | Start Lab |
| 09 | NumPy Practice Challenges | Beginner | Repo | Start Lab |
| 10 | Quick Start with TensorFlow | Beginner | Repo | Start Lab |
| 11 | Supervised Learning: Classification | Beginner | Repo | Start Lab |
| 12 | Foundations of Deep Learning | Beginner | Repo | Start Lab |
| 13 | Unsupervised Learning: Clustering | Beginner | Repo | Start Lab |
| 14 | Quick Start with Hadoop | Beginner | Repo | Start Lab |
| 15 | Seaborn Data Visualization Basics | Beginner | Repo | Start Lab |
| 16 | Sklearn Practice Challenges | Beginner | Repo | Start Lab |
| 17 | Hadoop Practice Labs | Beginner | Repo | Start Lab |
| 18 | Hadoop Practice Challenges | Beginner | Repo | Start Lab |
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