Topics Today

1. Initial Expectations for the Course

2. Project Description and Analysis

3. Key Topics and Takeaways from the Course

4. Self-Assessment

Initial Course Expectations

• To truly understand what Data Science is

• Understand what it means to be a Data Science Fellow

• Create something meaningful

• Gain tangible skills (e.g., coding)

• Foster a network with other students, faculty members, and the Data Science Initiative

Project Goals

• ACTFL and CEFRL:

  • Main Goal: Convert French learning guidelines/skills to a website allowing Brown students to see what they should know at various skill levels.

Project Description and Analysis

• Tool URL: French Learning Guide

• Technology Used: Made with React

Key Topics/Takeaways - Personal Growth

• How to be a great instructor:

  • Learning outcomes

  • Personal microteaching on data cleaning

  • Giving and receiving feedback

• How to be a great consultant:

  • Personal project and communication skills

• How to be an effective data scientist:

  • Microteachings, personal project, and project problem solving

Self-Assessment

• Success and Achievements:

  • Gained valuable coding skills

  • Interacted with classmates throughout the semester

  • Worked with a client, maintaining timely communication

  • Developed interpersonal skills

  • Utilized effective project management and communication

  • Set deadlines and addressed client needs promptly

  • Quarterbacked my own project

  • Conducted microteaching and peer reviews

  • Learned from the course

  • Improved teaching skills

  • Learned React

  • Understood how to address client concerns in code