Introduction to Computational Thinking with Data 📊
UC Berkeley, Spring 2021
Instructor: Suraj Rampure (rampure@berkeley.edu)
Lecture: MWF 11AM-12PM, Lab: F 12-1PM, Office Hours: See Ed
The following breakdown is tentative. All assignments are available for public consumption on our GitHub.
1. Welcome to Data 94!
2. Python Fundamentals
- Jan 25
3 Variables and Types
3 slides • code • code HTML • QC • readings: CIT 3.2, 4.2; SPR 7
- Jan 27
4 Comparisons
- Jan 28
Homework 1 Python Fundamentals (due Feb. 3)
Survey 1 Weekly Survey (due Feb. 3)
- Jan 29
5 Functions
Lab 1 Functions
3. Iteration
- Feb 1
6 Control
6 slides • code • code HTML • QC • readings: CIT 9.1; SPR 12, 13
- Feb 3
7 Iteration 1 (While loops)
- Feb 4
Homework 2 Control, Iteration, Lists, and Strings (due Feb. 17)
Survey 2 Weekly Survey (due Feb. 11)
- Feb 5
8 Lists and Strings
Lab 2 More Python Fundamentals
4. Review, Quiz 1
5. More Iteration
- Feb 15
N/A (Presidents Day)
- Feb 17
11 Iteration 2 (For loops)
11 slides • code • code HTML • QC • readings: SPR 10, 14; TCS 8.2, 10.18
- Feb 18
Homework 3 Review and For Loops (due Feb. 24)
Survey 3 Weekly Survey (due Feb. 24)
- Feb 19
12 More Iteration
12 slides • code • code HTML • QC • readings: Luhn’s, TCS 10.24
Lab 3 For Loops
6. Programming in Data Science
- Feb 22
13 Dictionaries
13 slides • code • code HTML • QC • readings: SPR 21, TCS 12
- Feb 24
14 File Formats and Modules
14 slides • code • code HTML • QC • readings: CSV vs. JSON, Imports
- Feb 25
Homework 4 Dictionaries and NumPy (due Mar. 4)
Survey 4 Weekly Survey (due Mar. 4)
- Feb 26
15 NumPy
15 slides • code • code HTML • QC • readings: CIT 5, Data 8 Python reference
Lab 4 Dictionaries and NumPy
7. Table Fundamentals
- Mar 1
16 Table Fundamentals
- Mar 3
17 Guest Lecture: Disinformation and Data
17 slides • no QC
- Mar 4
Homework 5 Table Fundamentals (due Mar. 11)
Survey 5 Weekly Survey (due Mar. 11)
- Mar 5
18 Row Manipulation
18 slides • code • code HTML • QC • readings: CIT 6.1-6.4,
are.docsLab 5 Tables
8. More Table Methods
- Mar 8
19 Applying
- Mar 10
20 Grouping and Pivoting
20 slides • code • code HTML • QC • readings: CIT 8.2, 8.3; Table Visualizer
- Mar 11
Homework 6 Advanced Table Methods (due Apr. 1)
- Mar 12
21 Joining and Row Methods
21 slides • code • code HTML • QC • readings: CIT 8.4, Join animation
Lab 6 More Table Methods
9. Review, Quiz 2
- Mar 15
22 Case Study: University Rankings
- Mar 17
23 Review
23 slides • practice quiz • QC
- Mar 18
Survey 6 Weekly Survey (due Apr. 1)
- Mar 19
QUIZ 2 Quiz 2 (in lecture)
Lab Quiz Review
10. Spring Break 🏄
- Mar 22
N/A (Spring Break)
- Mar 24
N/A (Spring Break)
- Mar 26
N/A (Spring Break)
11. Visualization
- Mar 29
24 Introduction to Visualization
24 slides • code • code HTML • QC • readings: History of Viz
- Mar 31
25 Visualizing Categorical Variables
- Apr 1
Homework 7 Visualization Fundamentals (due Apr. 8)
Survey 7 Weekly Survey (due Apr. 8)
- Apr 2
26 Visualizing Numerical Variables
26 slides • code • code HTML • QC • readings: CIT 7.2* (see Slide 2)
12. More Visualization
- Apr 5
27 Visualizing Two Numerical Variables
- Apr 7
28 Maps
- Apr 8
Homework 8 Advanced Visualization Techniques (due Apr. 20)
- Apr 9
29 Fun with Plotly
Lab 8 More Visualization
13. Review, Quiz 3
- Apr 12
30 Perception, Case Study
30 slides • code • code HTML • QC • readings: Basic Principles
- Apr 14
31 Review
31 slides • practice quiz • QC
- Apr 15
Survey 8 Weekly Survey (due Apr. 20)
- Apr 16
Quiz 3 Quiz 3 (in lecture)
Lab Quiz Review
14. Special Topics
- Apr 19
32 Guest Lecture: Election Maps
- Apr 21
33 Tutorial: Creating a Website
- Apr 23
34 Tutorial: Publishing Your Work
15. Special Topics and Review
- Apr 26
35 Statistical Simulations
- Apr 28
36 Guest Lecture: Human Context & Ethics
- Apr 30
37 Conclusion