Data Scientist with Python - Career Track

This career track is from Datacamp, combined of 26 courses with total of 84 hours.

Content

1. Introduction to Python
2. Imtermediate Python for Data Science
3. Python Data Science Toolbox I
4. Python Data Science Toolbox II
5. Importing Data in Python I
6. Importing Data in Python II
7. Cleaning Data in Python
8. pandas Foundations
9. Manipulating DataFrames with pandas
10. Merging DataFrames with pandas
11. Analyzing Police Activity with pandas
12. Intro to SQL for Data Science
13. Introduction to Relational Databases in SQL 14. Introduction to Data Visualization with Python
14. Interactive Data Visualization with Bokeh
15. Statistical Thinking in Python 1
16. Statistical Thinking in Python 2
17. Joing Data in SQL
18. Introduction to Shell for Data Science
19. Conda Essentials
20. Supervised Learning with scikit-learn
21. ML with experts School budgets
22. Unsupervised Learning
23. ML with Tree-based models
24. Deep Learning
25. Network Analysis 1