Data Science with Python

• Study notes from Data Science with Python track of Datacamp
• 96 hrs
• 25 Courses
• 6 Projects

Description

• 1. Dictionary and advanced Numpy (conditonal statements and loop)
• 2. Manipulating in Pandas
• 3. Joining Data with Python and SQL
• 4. Matplotlib
• 5. Seaborn
• 6. Cleaning data with python
• 7. Date and time in Python
• 8. Record Linkage
• 9. Write functions with Python
• 10. Toolbox in Python: Write functions, Lambda, List comprehension and generators
• 11. Exploratory data analysis in Python
• 12. Analyzing police activity with Pandas
• 13. Introduction to Statistics in Python
• 14. Introduction to Regression with statsmodels in Python(ols & SLR)
• 15. Sampling in Python
• 16. Hypothesis testing in Python
• 17. Supervised learning with scikit-learning
• 18. Unsupervised learning in Python
• 19. Machine learning with Tree-based models in Python