Curriculum For This Course

Introduction to Course

2Lectures

Time 00:26:42

Setting up Python with Spark

1Lectures

Time 00:05:58

Local VirtualBox Set-up

3Lectures

Time 00:31:09

AWS EC2 PySpark Set-up

4Lectures

Time 00:38:58

Databricks Setup

1Lectures

Time 00:11:41

AWS EMR Cluster Setup

1Lectures

Time 00:17:16

Python Crash Course

7Lectures

Time 00:58:50

Spark DataFrame Basics

7Lectures

Time 01:04:52

Spark DataFrame Project Exercise

2Lectures

Time 00:20:06

Introduction to Machine Learning with MLlib

2Lectures

Time 00:19:25

Linear Regression

6Lectures

Time 01:00:03

Logistic Regression

5Lectures

Time 01:00:02

Decision Trees and Random Forests

5Lectures

Time 00:52:26

K-means Clustering

5Lectures

Time 00:41:20

Collaborative Filtering for Recommender Systems

2Lectures

Time 00:18:39

Natural Language Processing

4Lectures

Time 00:46:26

Spark Streaming with Python

5Lectures

Time 00:57:18

Introduction to Course
	1. Course Overview	07:46
	2. What is Spark? Why Python?	18:48

Setting up Python with Spark
	1. Set-up Overview	05:48

Local VirtualBox Set-up
	1. Local Installation VirtualBox Part 1	04:23
	2. Local Installation VirtualBox Part 2	12:59
	3. Setting up PySpark	05:09

AWS EC2 PySpark Set-up
	1. AWS EC2 Set-up Guide	02:38
	2. Creating the EC2 Instance	14:03
	3. SSH with Mac or Linux	03:41
	4. Installations on EC2	14:16

Databricks Setup
	1. Databricks Setup	10:05

AWS EMR Cluster Setup
	1. AWS EMR Setup	15:06

Python Crash Course
	1. Introduction to Python Crash Course	01:25
	2. Jupyter Notebook Overview	05:36
	3. Python Crash Course Part One	15:52
	4. Python Crash Course Part Two	11:53
	5. Python Crash Course Part Three	10:58
	6. Python Crash Course Exercises	01:08
	7. Python Crash Course Exercise Solutions	09:09

Spark DataFrame Basics
	1. Introduction to Spark DataFrames	02:16
	2. Spark DataFrame Basics	10:33
	3. Spark DataFrame Basics Part Two	09:37
	4. Spark DataFrame Basic Operations	09:53
	5. Groupby and Aggregate Operations	11:37
	6. Missing Data	08:22
	7. Dates and Timestamps	09:42

Spark DataFrame Project Exercise
	1. DataFrame Project Exercise	02:40
	2. DataFrame Project Exercise Solutions	16:36

Introduction to Machine Learning with MLlib
	1. Introduction to Machine Learning and ISLR	04:23
	2. Machine Learning with Spark and Python with MLlib	04:16

Linear Regression
	1. Linear Regression Theory and Reading	04:55
	2. Linear Regression Documentation Example	13:32
	3. Regression Evaluation	06:36
	4. Linear Regression Example Code Along	14:15
	5. Linear Regression Consulting Project	03:03
	6. Linear Regression Consulting Project Solutions	15:03

Logistic Regression
	1. Logistic Regression Theory and Reading	11:13
	2. Logistic Regression Example Code Along	15:29
	3. Logistic Regression Code Along	03:05
	4. Logistic Regression Consulting Project	11:00
	5. Logistic Regression Consulting Project Solutions	07:32

Decision Trees and Random Forests
	1. Tree Methods Theory and Reading	07:50
	2. Tree Methods Documentation Examples	12:31
	3. Decision Tress and Random Forest Code Along Examples	20:24
	4. Random Forest - Classification Consulting Project	02:25
	5. Random Forest Classification Consulting Project Solutions	07:48

K-means Clustering
	1. K-means Clustering Theory and Reading	06:44
	2. KMeans Clustering Documentation Example	09:03
	3. Clustering Example Code Along	10:50
	4. Clustering Consulting Project	03:00
	5. Clustering Consulting Project Solutions	08:26

Collaborative Filtering for Recommender Systems
	1. Introduction to Recommender Systems	06:24
	2. Recommender System - Code Along Project	11:40

Natural Language Processing
	1. Introduction to Natural Language Processing	07:56
	2. NLP Tools Part One	15:30
	3. NLP Tools Part Two	07:48
	4. Natural Language Processing Code Along Project	13:27

Spark Streaming with Python
	1. Introduction to Streaming with Spark!	10:11
	2. Spark Streaming Documentation Example	08:56
	3. Spark Streaming Twitter Project - Part	03:44
	4. Spark Streaming Twitter Project - Part Two	12:35
	5. Spark Streaming Twitter Project - Part Three	13:46

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Using Spark with Python

Curriculum For This Course

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