/dsi-premium-prep

Repository for code and materials for the Galvanize DSI Premium Prep

Primary LanguageJupyter Notebook

Galvanize Data Science Immersive Premium Prep

March 1st, 2021 - April 3rd, 2021

Important Links

Zoom Link

  • Must be a registered user
  • See the Initialize Section in the Learn materials for the pword

Galvanize Data Science YouTube Channel SUBSCRIBE!

Premium Prep Recordings

Our Learn Cohort

Other Helpful Resources

Add this Chrome Extension to see rendered Math formulas on Github

Notetaking Strategy for Immersives : Tutorial on how to take notes in order to have quick reference while in the DSI

MathJax Reference on StackExchange : Indispensible for writing Markdown with LaTEX

JB Statistics: Excellent supplemental resource!

Introduction to Statistical Learning (ISLR) : Seminal work on Machine Learning, highly recommended!

Elements of Statistical Learning (ESL) : Grad level of the ISLR

Khan Academy : For refreshers in Algebra and Calculus

Desmos browser-based graphing app : Quick visualization of math

Derivative Calculator : For checking Calculus work

Visual Go : A language-agnostic tour of data structures and algorithms


Day 1: Monday Mar 1 (6pm - 8pm Pacific)

Instructor: Tovio, Clark

Slide Decks:

HW assignment:

HW solutions: N/A

Video Lecture: Day 1 Lecture


Day 2: Tuesday Mar 2 (6pm - 8pm Pacific)

Instructor: Clark Walker

Slide Deck:

HW assignment: N/A

HW Solutions: N/A

Video Lecture: Day 2 Lecture


Day 3: Wednesday Mar 3 (6pm - 8pm Pacific)

Instructor: Clark Walker

Slide Deck:

HW assignment:

HW Solutions: N/A

Video Lecture: Day 3 Lecture


Day 4: Thursday Mar 4 (6pm - 8pm Pacific)

Instructor: Clark Walker

Slide Deck:

HW assignment:

HW Solutions: N/A

Video Lecture: Day 4 Lecture


Day 5: Saturday Mar 6 (11am-1pm Pacific)

Instructor: Clark Walker

Slide Deck:

HW assignment:

HW Solutions: N/A

Video Lecture: Day 5 Lecture


Day 6: Monday Mar 8 (6pm - 8pm Pacific)

Instructor: Clark Walker

Slide Deck:

HW assignment:

HW Solutions: N/A

Video Lecture: Day 6 Lecture


Day 7: Tuesday Mar 9 (6pm - 8pm Pacific)

Instructor: Clark Walker

Slide Deck:

HW assignment:

HW Solutions: N/A

Video Lecture: Day 7 Lecture


Day 8: Wednesday Mar 10 (6pm - 8pm Pacific)

Instructor: Tovio Roberts

Slide Deck: Summary Stats: Centrality

HW assignment:

HW Solutions: N/A

Video Lecture: Day 8 Lecture


Day 9: Thursday Mar 11 (6pm - 8pm Pacific)

Instructor: Clark Walker

Slide Deck:

HW assignment:

HW Solutions: Python HW solutions (Tic Tac Toe)

Video Lecture: Day 9 Lecture


Day 10: Saturday Mar 13 (11am - 1:00pm Pacific)

Instructor: Tovio Roberts

Slide Deck: Summary Stats: Measures of Spread

HW assignment:

HW Solutions: N/A

Video Lecture: Lecture 10


Day 11: Monday Mar 15 (6pm - 8pm Pacific)

Instructor: Clark Walker

Slide Deck:

HW assignment: N/A

HW Solutions: N/A

Video Lecture: Lecture 11


Day 12: Tuesday Mar 16 (6pm - 8pm Pacific)

Instructor: Tovio Roberts

Slide Deck: Intro to Set Theory

HW assignment: N/A

HW Solutions: N/A

Video Lecture: Lecture 12


Day 13: Wednesday Mar 17 (6pm - 8pm Pacific)

Instructor: Clark Walker

Slide Deck: Function Practice 1

HW assignment: N/A

HW Solutions: N/A

Video Lecture: Lecture 13


Day 14: Thursday Mar 18 (6pm - 8pm Pacific)

Instructor: Tovio Roberts

Slide Deck:

HW assignment:

HW Solutions: N/A

Video Lecture: Lecture 14


Day 15: Saturday Mar 20 (11am - 1:00pm Pacific)

Instructor: Tovio Roberts

Slide Deck: Statistical Counting

HW assignment:

HW Solutions: N/A

Video Lecture: Lecture 15


Day 16: Monday Mar 22 (6pm - 8pm Pacific)

Instructor: Tovio Roberts

Slide Deck:

HW assignment:

  • Review the code and materials regarding the General Analytic Approach

HW Solutions: N/A

Video Lecture: Lecture 16


Day 17: Tuesday Mar 23 (6pm - 8pm Pacific)

Instructor: Tovio Roberts

Slide Deck:

HW assignment:

HW Solutions: N/A

Video Lecture: Lecture 17


Day 18: Wednesday Mar 24 (6pm - 8pm Pacific)

Instructor: Tovio Roberts

Slide Deck:

HW assignment:

HW Solutions: N/A

Video Lecture: Lecture 18


Day 19: Thursday Mar 25 (6pm - 8pm Pacific)

Instructor: Tovio Roberts

Slide Deck:

HW assignment:

  • Complete the Continuous Probability Distributions Unit on Learn
  • Code out your own analytic approach to a phenomenon (mathematical, probabilistic, etc), and submit a .py file, a collab link, or a github link in the associated thread

HW Solutions: N/A

Video Lecture: Lecture 19


Day 20: Saturday Mar 27 (11am - 1pm Pacific)

Instructor: Clark Walker

Slide Deck:

HW assignment: Continuous Probability Distributions Unit

HW Solutions: N/A

Video Lecture: Lecture 20


Day 21: Monday Mar 29 (6pm - 8pm Pacific)

Instructor: Clark Walker

Slide Deck: Function Practice 2

HW assignment:

HW Solutions: N/A

Video Lecture: Lecture 21


Day 22: Tuesday Mar 30 (6pm - 8pm Pacific)

Instructor: Tovio Roberts

Slide Deck: Continuous Distributions

HW assignment

HW Solutions: N/A

Video Lecture: Lecture 22


Day 23: Wednesday Mar 31 (6pm - 8pm Pacific)

Instructor: Tovio Roberts

Slide Deck: Bayes Theorem

HW assignment:

HW Solutions: N/A

Video Lecture: Lecture 23


Day 24: Thursday April 1 (6pm - 8pm Pacific)

Instructor: Tovio Roberts

Slide Deck: Intro to Machine Learning

HW assignment:

  • Continue working on remaining Learn materials
  • Schedule a mentoring session to gauge where you are at and where you need to focus

HW Solutions: N/A

Video Lecture: Lecture 24


Day 25: Saturday April 3 (11am - 1:00pm Pacific)

Instructor: Tovio Roberts and Clark Walker

Slide Deck:

HW assignment: Finish your Learn materials and get ready for your TI!

HW Solutions: N/A

Video Lecture: Lecture 25