Lecture 1 – Introduction, Course Overview
Presented by Anthony D. Joseph and Fernando Perez
Content by Suraj Rampure, Allen Shen, Joseph Gonzalez, Josh Hug, and Sam Lau
Welcome to Data 100, and to a new lecture format! The right column of the table below contains Quick Checks. These are required – they are worth 5% of your grade if you are an undergraduate – but are graded on completion, not correctness. A random one of the following six Google Forms will give you an alphanumeric code once you submit; you should take this code and enter it into the “Lecture 1” question in the “Quick Check Codes” assignment on Gradescope to get credit for submitting this Quick Check. You must submit this by Monday, August 31st at 11:59PM to get credit for it.
| Video | Quick Check | |
|---|---|---|
| 1.1 Introductions from Professor Joseph and Professor Perez. |
1.1 | |
| 1.2 What is data science? An overview of the field, and issues to be aware of. |
1.2 | |
| 1.3 An overview of the topics covered in this course. |
1.3 | |
| 1.4 A detailed description of how each course component will run this semester. |
1.4 | |
| 1.5 An overview of the data science lifecycle and its four steps. |
1.5 | |
| 1.6 A demonstration of various data science tools using data from students in this class. |
1.6 |