Trilha Data Science - DataCamp

[nanipumpkin]

Link para a trilha

• [x] 1. Introduction to Python
• [x] 2. Intermediate Python
• [x] 3. PROJECT: Investigating Netflix Movies and Guest Stars in the Office
• [x] 4. Data Manipulation with pandas
• [x] 5. Joining Data with pandas
• [x] 6. Introduction to Statistics in Python
• [x] 7. The GitHub History of the Scala Language
• [x] 8. Introduction to Data Visualization with Matplotlib
• [x] 9. Introduction to Data Visualization with Seaborn
• [x] 10. Introduction to NumPy
• [x] 11. Python Data Science Toolbox (Part 1)
• [x] 12. PROJECT: The Android App Market on Google Play
• [x] 13. Python Data Science Toolbox (Part 2)
• [x] 14. Intermediate Data Visualization with Seaborn
• [x] 15. Data Communication Concepts
• [x] 16. Project: A Visual History of Nobel Prize Winners
• [x] 17. SKILL ASSESSMENT: Data Manipulation with Python
• [x] 18. Introduction to Importing Data in Python
• [x] 19. Intermediate Importing Data in Python
• [x] 20. Cleaning Data in Python
• [x] 21. Working with Dates and Times in Python
• [x] 22. SKILL ASSESSMENT: Importing and Cleaning Data with Python
• [x] 23. Writing Functions in Python
• [x] 24. SKILL ASSESSMENT: Python Programming
• [x] 25. Exploratory Data Analysis in Python
• [x] 26. Analyzing Police Activity with pandas
• [x] 27. Introduction to Regression with statsmodels in Python
• [x] 28. Sampling in Python
• [x] 29. Hypothesis Testing in Python
• [x] 30. PROJECT: Dr. Semmelweis and the Discovery of Handwashing
• [x] 31. Supervised Learning with scikit learn
• [x] 32. PROJECT: Predicting Credit Card Approvals
• [x] 33. Unsupervised Learning in Python
• [x] 34. Machine Learning with Tree-Based Models in Python

[nanipumpkin]

link para o certificado

[piantino]

Muito bom @nanipumpkin , vi que já colocou no LinkedIn também!