Data Scientist with Python Track Certification Preparation DataCamp

1 Introduction to Python

1. Python Basics
   • Python Interface
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2 Intermediate Python

3 Project - Investigating Netflix Movies and Guest Stars in The Office

4 Data Manipulation with pandas

5 Joining Data with pandas

6 Project - The Github Story of the Scala Language

7 Introduction to Data Visualization with Matplotlib

8 Introduction to Data Visualization with Seaborn

9 Introduction to NumPy

10 Python Data Science Toolbox (Part 1)

11 Project - The Android App Market on Google Play

12 Python Data Science Toolbox (Part 2)

13 Intermediate Data Visualization with Seaborn

14 Project - A Visual History of Nobel Prize Winners

15 Skill Assessment - Data Manipulation with Python

16 Introduction to Importing Data in Python

17 Intermediate Importing Data in Python

18 Cleaning Data in Python

19 Working with Dates and Times in Python

20 Skill Assessment - Importing & Cleaning Data with Python

21 Writing Functions in Python

22 Skill Assessment - Python Programming

23 Exploratory Data Analysis in Python

24 Analyzing Police Activity with pandas

25 Introduction to Statistics in Python

26 Introduction to Regressuib with statsmodels in Python

27 Sampling in Python

28 Hypothesis Testing in Python

29 Project - Dr. Semmelweis and the Discovery of Handwashing

30 Supervised Learning with scikit-learn

31 Project - Predicting Credit Card Approvals

32 Unsupervised Learning in Python

33 Machine Learning with Tree-Based Models in Python

34 Cluster Analysis in Python