Data Science
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Detailed Data Science Course
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Hands-on Practice
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100+ Exercises
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One-to-One Classes
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Group Classes
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E-Certificate
Course Content
1. Introduction to Data Science1 Lectures
2. Python for Data Science20 Lectures - 25 Practice Session
3. Essential Python Libraries for Data Science20 Lectures - 25 Practice Session
4. Data Collection and Cleaning3 Lectures - 2 Practice Session
5. Exploratory Data Analysis (EDA)2 Lectures - 1 Practice Session
6. Statistical Analysis and Hypothesis Testing10 Lectures - 10 Practice Session
7. Data Visualization Techniques8 Lectures - 8 Practice Session
8. Machine Learning Algorithms2 Lectures - 1 Practice Session
9. Supervised Learning (Regression, Classification)15 Lectures - 9 Practice Session
10. Unsupervised Learning (Clustering, Dimensionality Reduction)9 Lectures - 15 Practice Session
11. Deep Learning Fundamentals5 Lectures - 3 Practice Session
12. Neural Networks and Advanced Deep Learning Models30 Lectures - 30 Practice Session
13. Data Science Project3-6 Months