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nd025-br_data_scientist's Introduction

ND025 - Data Scientist

Tags

  • Author : AH Uyekita
  • Dedication : 10 hours/week (suggested)
  • Start : 12/02/2019
  • End (Planned): 30/03/2019
  • Title : Data Scientist Nanodegree Program
    • COD : ND025

Related Courses

Bookdown and Projects


Objectives

Syllabus

This course is divided into 5 parts/chapters and has 5 projects.

Core Curriculum

  • Chapter 01 - Introduction
    • Lesson 01 - Orientações Importantes para o Nanodegree
    • Lesson 02 - Dicas para o seu Nanodegree
    • Lesson 03 - Introduction
  • Chapter 02 - Supervised Learning
    • Lesson 01 - Linear Regression
    • Lesson 02 - Perceptron Algorithm
    • Lesson 03 - Decision Tree
    • Lesson 04 - Naïve Bayes
    • Lesson 05 - Support Vector Machine
    • Lesson 06 - Ensemble Methods
    • Lesson 07 - Supervised Learning Assessment
    • Project 01 - Supervised Learning Project
  • Chapter 03 - Unsupervised Learning
    • Lesson 01 - Clustering
    • Lesson 02 - Clustering Mini-project
    • Lesson 03 - Hierarchical and Density-based Clustering
    • Lesson 04 - Gaussian Mixture Models and Cluster Validation
    • Lesson 05 - Fature Scaling
    • Lesson 06 - PCA
    • Lesson 07 - PCA Mini-project
    • Lesson 08 - Random Projection and ICA
    • Lesson 09 - Unsupervised Learning Assessment
    • Project 02 - Unsupervised Learning Project
    • Project 02.1 - Strengthen Your Online Presence Using LikedIn
    • Project 02.2 - Optimize your Github Profile
  • Chapter 04 - Big Data & Map Reduce
    • Lesson 01 - Big Data
    • Lesson 02 - Problem Set
    • Lesson 03 - HDFS and MapReduce
    • Lesson 04 - Problem Set
    • Lesson 05 - MapReduce Code
    • Lesson 06 - Project [Optional]
    • Lesson 07 - MapReduce Design Patterns
    • Project 03 - Analyzing NY Subway Data
  • Chapter 05 - Data Analysis with R
    • Lesson 01 - What is EDA?
    • Lesson 02 - R Basics
    • Lesson 03 - Explore One Variable
    • Lesson 04 - Problem Set: Explore One Variable
    • Lesson 05 - Explore Two Variables
    • Lesson 06 - Problem Set: Explore Two Variables
    • Lesson 07 - Explore Many Variables
    • Lesson 08 - Problem Set: Explore Many Variables
    • Lesson 09 - Diamonds & Price Predictions
    • Project 04 - Explore and Summarize Data

Extracurricular

  • Chapter 01 - Matrix and NumPy Refresher
  • Chapter 02 - Basic Software Engineering Skils

Repository Structure

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

ND111_data_science_foundation_02
|
+--  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
|           .

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Contributors

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