Week 1: Introduction

To do before class: Homework 0

• Complete the steps to set up your computing environment. These are described in the ungraded homework, “Homework 0”. While this is ungraded and there is no due date, you should do this as soon as possible. These steps will guide you through the set up needed to complete the homework in this course.

Objectives

The broad objective is to define the purpose of the course, demonstrate how to access course page on GitHub, how to access the course textbook, and how to download and submit homework assignments via GitHub classroom.

• Introduction and Syllabus

  • Who am I?

  • Review syllabus.

  • Review Homework 0”

• What is the purpose and scope of the course?

  • What is Data Science? Where does this course fit in?

  • What are Reproducible Analytical Pipelines?

  • Case Study: Is There A Reproducibility Crisis In Finance?

  • Discuss the final project? What will students do? What is the purpose?

• Demonstrate how course will be using GitHub. Show how to download and submit assignments.

  • Demonstrate how to clone class’s GitHub repository.

  • Show students how to sign up for GitHub Classroom (use assignment link)

  • Complete Example HWs together and submit them on GitHub Classroom

• Discuss and start Homework 1

Homework 1

Learning objects for HW1: Introduction to GitHub, using unit tests and GitHub actions for autograding, and downloading data from FRED to study repo spikes