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Day 3

9:00 -

09:30

09:30:10:20 10:20 -

10:35

10:35 - 11:15 11:15 - 12:00 12:00 - 12:10 12:10 - 12:55 12:55: - 14:10 14:10 - 18:00
Career Hack Review Break Python functions Python List Comprehensions Break Programming Tips Launch break Lab

👉   Table of Contents


📅   Week 1

Week 1 | Day3 `s Key Objectives:

  • Python functions
  • Python List comprehension
  • Programming Tips and coding efficiency.

    Week 1 | Day2 `s Key Objectives:

    • Conda: Package and Environment Manager
    • Python Data Structures: Lists, Tuples, dictionaries, Sets
    • Python String Operations

      Week 1 | Day1 `s Key Objectives:

      • Housekeeping Issues and Bootcamp Expectation
      • Trello
      • Command Line
      • Git & GitHub
      • Jupyter Notebooks and Markdown
Day 1 Day 2 Day 3 Day 4 Day 5

It is Friday!! 🥳😎✌️

[Presentation] Intro [Presentation] Conda [Presentation] Python Functions [Notebook] Lambda Function [Notebook] Python Map
[Activity] Command Line [Activity] Conda Environment


[Cheat Sheet] Conda Cheat Sheet

[Notebook] Python Functions [Presentation] Data Analysis Process [Presentation] Intro to Pandas


[Code Along] Intro to Pandas

[Presentation] Git [Presentation] Python Built-In Data Structures [Presentation] Python Lists Comprehension


[Notebook] Python Lists Comprehension

[Presentation]

Numpy Arrays


[Cheat Sheet] Numpy Arrays


[Notebook] Numpy Arrays

Weekly Recap
[Presentation] Jupyter Notebooks [Notebook] Python Built-In Data Structures [Presentation] Programming Tips


[Presentation] Programming Code Simplicity

[Lab] Data Gathering


[Lab] Numpy Arrays

Weekly Retro
[Cheat Sheet] Mac Command


[Cheat Sheet] Windows Command Line


[Cheat Sheet] Git Cheat Sheet


[Cheat sheet] Markdown Cheat Sheet

[Presentation] Python String Operations


[Notebook] Python String Operations

[Lab] Pre-Work Review [Lab] Pandas Exercises
[LAB] Git


[LAB] Jupyter Notebook


[LAB] (Optional) Bash

[Lab] Python Built-In Data Structures


[Lab] Python Strings


📅  Week2 - EDA
📅  Week 3 Databases, BI
📅  Week 4 Statistics, Regression
📅  Week 5 - Midterm Project
📅  Week 6 - Web Scraping, Unsupervised Learning
📅  Week 7 - Machine Learning
📅  Week 8 Advanced ML Topics - Final Project
📅  Week 9 - Final Project

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