Step 2

Intermediate Python for Data Science

Step 3

Python Data Science Toolbox (Part 1)

Step 4

Python Data Science Toolbox (Part 2)

Step 5

Importing Data in Python (Part 1)

Step 6

Importing Data in Python (Part 2)

Step 7

Cleaning Data in Python

Step 8

Pandas Foundations

Step 9

Manipulating DataFrames with pandas

Step 10

Merging DataFrames with pandas

Step 11

Introduction to Databases in Python

Step 12

Introduction to Data Visualization with Python

Step 13

Interactive Data Visualization with Bokeh

Step 14

Statistical Thinking in Python (Part 1)

Step 15

Statistical Thinking in Python (Part 2)

Step 16

Supervised Learning with scikit-learn

Step 17

Machine Learning with the Experts: School Budgets

Step 18

Unsupervised Learning in Python

Step 19

Deep Learning in Python

Step 20

Network Analysis in Python (Part 1)

Step 21

STATEMENT OF ACCOMPLISHMENT