Using Spark with Python Video Course

Curriculum For This Course

• 1. Introduction to Course 2 Videos 00:26:42
  • Course Overview 07:46
  • What is Spark? Why Python? 18:48
• 2. Setting up Python with Spark 1 Videos 00:05:58
  • Set-up Overview 05:48
• 3. Local VirtualBox Set-up 3 Videos 00:31:09
  • Local Installation VirtualBox Part 1 04:23
  • Local Installation VirtualBox Part 2 12:59
  • Setting up PySpark 05:09
• 4. AWS EC2 PySpark Set-up 4 Videos 00:38:58
  • AWS EC2 Set-up Guide 02:38
  • Creating the EC2 Instance 14:03
  • SSH with Mac or Linux 03:41
  • Installations on EC2 14:16
• 5. Databricks Setup 1 Videos 00:11:41
  • Databricks Setup 10:05
• 6. AWS EMR Cluster Setup 1 Videos 00:17:16
  • AWS EMR Setup 15:06
• 7. Python Crash Course 7 Videos 00:58:50
  • Introduction to Python Crash Course 01:25
  • Jupyter Notebook Overview 05:36
  • Python Crash Course Part One 15:52
  • Python Crash Course Part Two 11:53
  • Python Crash Course Part Three 10:58
  • Python Crash Course Exercises 01:08
  • Python Crash Course Exercise Solutions 09:09
• 8. Spark DataFrame Basics 7 Videos 01:04:52
  • Introduction to Spark DataFrames 02:16
  • Spark DataFrame Basics 10:33
  • Spark DataFrame Basics Part Two 09:37
  • Spark DataFrame Basic Operations 09:53
  • Groupby and Aggregate Operations 11:37
  • Missing Data 08:22
  • Dates and Timestamps 09:42
• 9. Spark DataFrame Project Exercise 2 Videos 00:20:06
  • DataFrame Project Exercise 02:40
  • DataFrame Project Exercise Solutions 16:36
• 10. Introduction to Machine Learning with MLlib 2 Videos 00:19:25
  • Introduction to Machine Learning and ISLR 04:23
  • Machine Learning with Spark and Python with MLlib 04:16
• 11. Linear Regression 6 Videos 01:00:03
  • Linear Regression Theory and Reading 04:55
  • Linear Regression Documentation Example 13:32
  • Regression Evaluation 06:36
  • Linear Regression Example Code Along 14:15
  • Linear Regression Consulting Project 03:03
  • Linear Regression Consulting Project Solutions 15:03
• 12. Logistic Regression 5 Videos 01:00:02
  • Logistic Regression Theory and Reading 11:13
  • Logistic Regression Example Code Along 15:29
  • Logistic Regression Code Along 03:05
  • Logistic Regression Consulting Project 11:00
  • Logistic Regression Consulting Project Solutions 07:32
• 13. Decision Trees and Random Forests 5 Videos 00:52:26
  • Tree Methods Theory and Reading 07:50
  • Tree Methods Documentation Examples 12:31
  • Decision Tress and Random Forest Code Along Examples 20:24
  • Random Forest - Classification Consulting Project 02:25
  • Random Forest Classification Consulting Project Solutions 07:48
• 14. K-means Clustering 5 Videos 00:41:20
  • K-means Clustering Theory and Reading 06:44
  • KMeans Clustering Documentation Example 09:03
  • Clustering Example Code Along 10:50
  • Clustering Consulting Project 03:00
  • Clustering Consulting Project Solutions 08:26
• 15. Collaborative Filtering for Recommender Systems 2 Videos 00:18:39
  • Introduction to Recommender Systems 06:24
  • Recommender System - Code Along Project 11:40
• 16. Natural Language Processing 4 Videos 00:46:26
  • Introduction to Natural Language Processing 07:56
  • NLP Tools Part One 15:30
  • NLP Tools Part Two 07:48
  • Natural Language Processing Code Along Project 13:27
• 17. Spark Streaming with Python 5 Videos 00:57:18
  • Introduction to Streaming with Spark! 10:11
  • Spark Streaming Documentation Example 08:56
  • Spark Streaming Twitter Project - Part 03:44
  • Spark Streaming Twitter Project - Part Two 12:35
  • Spark Streaming Twitter Project - Part Three 13:46