1. Prepare (soft due Tu 9/14, hard due M 9/27)
   1. Content below
   2. Sakai quizzes
2. Group Worksheet (soft due W 9/15, hard due M 9/27)
3. Practice (due M 9/27)
4. Perform (due M 10/11)

Content

3A.A – What is Wrangling

1. Data sources, formats, and importing (26 min.)
2. Common data cleaning problems (16 min.)
3. Read Section 3.4 Handling Missing Data from Python Data Science Handbook

3A.B – Wrangling Text

1. Python string operations (16 min.)
2. Introduction to regular expressions (18 min.)
3. Read Section 3.10 Vectorized String Operations from Python Data Science Handbook

Optional Supplements

• Pandas IO tools Documentation
• Pandas working with missing data user guide
• Python Regular Expression HOWTO
• Pandas working with text data user guide