Data 8: Foundations of Data Science
InclusionBridge, Bridge to Data Fundamentals (Mercy University) 2024
Let us start your Data Science Journey together
Acknowledgements
This course is based on Data 8, titled “The Foundations of Data Science,” a course taught to first-year students at UC Berkeley. All course materials, including the textbook and assignments, are provided free of charge online under a Creative Commons license. The textbook, “Computational and Inferential Thinking: The Foundations of Data Science,” is an online resource featuring Jupyter notebooks and publicly accessible data sets used in all the examples. The course materials comprise Embedded Demo, Lab, and Homework Notebooks, as well as references, all sourced from the public Data8 repository. Students are encouraged to visit the official Data8 website for additional resources, including complete lecture videos and PowerPoint presentations.
Announcements
- Data Fundamentals starts January 24th! .
Week 1
- Lecture
- 1 Introduction
- Embedded Notebook
- Reading: 1.1, 1.2, 1.3
- Lab Lab 01: Expressions
- Lecture
- 2 Cause and Effect
- Embedded Notebook
- Reading: 2
- Homework Homework 01
Week 2
- Lecture
- 3 Tables
- Embedded Notebook
- Reading: 3, 4
- Lab Lab 02: Table Operations
- Lecture
- 4 Data Types
- Embedded Notebook
- Reading: 5
- Lecture
- 5 Building Tables
- Embedded Notebook
- Reading: 6.1, 6.2
- Homework Homework 02
Week 3
- Lecture
- 6 Census
- Embedded Notebook
- Reading: 6.3, 6.4
- Lab Lab 03: Data Types, creating and Extending Tables
- Lecture
- 7 Charts
- Embedded Notebook
- Reading: 7, 7.1
- Lecture
- 8 Histograms
- Embedded Notebook
- Reading: 7.2, 7.3
- Homework Homework 03
Week 4
- Lecture
- 9 Functions
- Embedded Notebook
- Reading: 8.1
- Lab Lab 04: Functions and Visualization
- Lecture
- 10 Groups
- Embedded Notebook
- Reading: 8.2, 8.3
- Lecture
- 11 Pivots and Joins
- Embedded Notebook
- Reading: 8.4
- Homework Homework 04
Week 5
- Lecture
- 12 Table Examples
- Embedded Notebook
- Reading: 8.5
- Lecture
- 13 Conditionals and Iteration
- Embedded Notebook
- Reading: 9.2
- Lab Lab 05: Conditional Statements, Iteration, Tables
- Lecture
- 14 Chance
- Embedded Notebook
- Reading: 9.2, 9.3, 9.4
- Homework Homework 05
Week 6
- Lecture
- 15 Sampling
- Embedded Notebook
- Reading: 9.5, 10
- Lecture
- 16 Models
- Embedded Notebook
- Reading: 10.2, 10.3, 10.4
- Homework Homework 06
- Lecture
- 17 Comparing Distributions
- Embedded Notebook
- Reading: 11.1, 11.2
- Lab Lab 06: Assessing Models
Week 7
- Lecture
- 18 Decisions and Uncertainty
- Embedded Notebook
- Reading: 11.3, 11.4
- Lecture
- 19 A/B Testing
- Embedded Notebook
- Reading: 12.1
- Lab Lab 07: A/B Testing
- Lecture
- 20 Causality
- Embedded Notebook
- Reading: 12.2, 12.3
- Homework Homework 07
Week 8
- Lecture
- 23 Confidence Intervals
- Embedded Notebook
- Reading: 13, 13.1, 13.2
- Lecture
- 24 Interpreting Confidence
- Embedded Notebook
- Reading: 13.3, 13.4
- Homework Homework 08
- Lecture
- 25 Center and Spread
- Embedded Notebook
- Reading: 14, 14.1, 14.2
Week 9
- Assessment
- Mid-Term Examination
- Embedded Notebook
Week 10
- Break
- Spring Break
Week 11
- Lecture
- 26 The Normal Distribution
- Embedded Notebook
- Reading: 14.3, 14.4
- Lab Lab 08: Sample Mean
- Lecture
- 27 Sample Means
- Embedded Notebook
- Reading: 14.5
- Lecture
- 28 Designing Experiments
- Embedded Notebook
- Reading: 14.6
- Homework Homework 09
Week 12
- Lecture
- 29 Correlation
- Embedded Notebook
- Reading: 15, 15.1
- Lecture
- 30 Linear Regression
- Embedded Notebook
- Reading: 15.2
- Lecture
- 31 Least Squares
- Embedded Notebook
- Reading: 15.3, 15.4
- Homework Homework 10
Week 13
- Lecture
- 32 Residuals
- Embedded Notebook
- Reading: 15.5, 15.6
- Lab Lab 09: Regression
- Lecture
- 33 Regression Inference
- Embedded Notebook
- Reading: 16
- Homework Homework 11
Week 14
- Lecture
- 34 Classification
- Embedded Notebook
- Reading: 17, 17.1, 17.2, 17.3
- Lecture
- 35 Classifiers
- Embedded Notebook
- Reading: 17.4
- Homework Homework 12
Week 15
- Project Work
- Capstone Project
- Project Notebook
<