ND110 - Data Science I - Notebook

Course Info

Tags

• Author : AH Uyekita
• Dedication : 10 hours/week (suggested)
• Start : 14/12/2018
• End (Planned): 28/12/2018
• Title : Data Science I - Foundations Nanodegree Program
  • COD : ND110

Related Courses

• ND110 - Data Science I - Nanodegree Foundations

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Objectives

I want to finish this course in two weeks. It includes the Optional videos and chapters.

Syllabus

• [x] Chapter 1 - Welcome
  • [x] Lesson 01 -
  • [x] Lesson 02 -
• [x] Chapter 2 - Python Introduction
  • [x] Lesson 01 -
  • [x] Lesson 02 -
  • [x] Lesson 03 -
  • [x] Lesson 04 -
  • [x] Lesson 05 -
• [x] Chapter 3 - Python for Data Analysis
  • [x] Lesson 01 -
  • [x] Lesson 02 -
  • [x] Lesson 03 -
  • [x] Lesson 04 -

Repository Structure

This is the structure of this repository, each course’s chapters (or parts) will be stored in different folders.

ND110_data_science_foundation_01
|
+--  01-Chapter_01
|           |
|           +--  README.md                       # General information
|
+--  02-Chapter_02
|           |
|           +--  README.md                       # General information
|           +--  00-Project_01                   # Project 01
|           +--  01-Lesson_01                    # Files from Lesson 01
|           |        +--  README.md              # Notes from Lesson 01 from Chapter 02
|           +--  02-Lesson_02                    # Files from Lesson 02
|           |        +--  README.md              # Notes from Lesson 02 from Chapter 02
|           .
|
+--  03-Chapter_03
|           |
|           +--  README.md                       # General information
|           +--  00-Project_02                   # Project 02
|           +--  01-Lesson_01                    # Files from Lesson 01
|           |        +--  README.md              # Notes from Lesson 01 from Chapter 02
|           +--  02-Lesson_02                    # Files from Lesson 02
|           |        +--  README.md              # Notes from Lesson 02 from Chapter 02
|           .

Best practice

• Add all deliverables in the GitKraken Glo;
• Take notes using the Markdown.

 

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A work by AH Uyekita

anderson.uyekita[at]gmail.com