Curriculum
- 8 Sections
- 24 Lessons
- 8 Weeks
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- Week 1: Introduction to Python Programming3
- Week 2: Data Structures and NumPy3
- Week 3: Data Manipulation with Pandas3
- Week 4: Data Visualization with Matplotlib and Seaborn3
- Week 5: Machine Learning Basics3
- Week 6: Scikit-Learn for Machine Learning2
- Week 7: Introduction to Deep Learning with TensorFlow and Keras3
- Week 8: Practical Projects and Case Studies4
- 8.0Day 49-52: Project-based learning: applying learned concepts to real-world datasets.
- 8.1Day 53-56: Mini projects covering data analysis, visualization, and building machine learning models.
- 8.2Day 57-58: Case studies on Data Science and Machine Learning applications.
- 8.3Day 59-60: Final project: Creating an end-to-end Data Science or Machine Learning solution.
Day 57-58: Case studies on Data Science and Machine Learning applications.
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