In-class Activities Policy
- You should submit your own solutions to the in-class exercises, even though you work as groups in class;
- You are allowed to miss two in-class activities without penalty.
- The grade will be evaluated based on completeness and correctness and as “success or fail”. You will get a score of 1 if you succeed and 0 if you fail.
# 11 In-class Activities: Data Visualization [Due by 11:59 pm on 3/18]
- In-Class Exercise #11 – Data Visualization Principles
- In-Class Exercise #11 – Food-Emporium Dashboard.xlsx
# 10 In-class Activities: Working with Pandas in Python [Due by 11:59 pm on 3/13]
- In-Class Exercise #10 – Pandas in Python
- In-Class Exercise #10 – NYC_Restaurant_Inspection.csv
- In-Class Exercise #10 – NBA14Salaries.csv
# 8/9 In-class Activities: Working with JSON in Python [Due by 11:59 pm on 2/27]
# 7 In-class Activities: Python Data Structures [Due by 11:59 pm on 2/25]
# 6 In-class Activities: Python Basics Data Types [Due by 11:59 pm on 2/20]
# 5 In-class Activities: Semi-structured Data [Due by 11:59 pm on 2/18]
# 4 In-class Activities: SQL Part 2 [Due by 11:59 pm on 2/6]
# 3 In-class Activities: SQL Part 1 [Due by 11:59 pm on 1/30]
# 2 In-class Activities: SQL Pen and Paper [Due by 11:59 pm on 1/28]
# 1 In-class Activities: Creating Schemas [Due by 11:59 pm on 1/21]