Section 1 : Introduction to Course
Lecture 1 Introduction 00:02:44 Duration
Lecture 2 Course Overview 00:07:49 Duration
Lecture 3 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM
Lecture 4 What is Spark Why Python 00:18:51 Duration

Section 2 : Setting up Python with Spark
Lecture 1 Set-up Overview 00:05:50 Duration
Lecture 2 Note on Installation Sections

Section 3 : Databricks Setup
Lecture 1 About Proctor Testing
Lecture 2 Databricks Setup 00:11:36 Duration

Section 4 : Local VirtualBox Set-up
Lecture 1 Local Installation VirtualBox Part 1 00:10:44 Duration
Lecture 2 Local Installation VirtualBox Part 2 00:13:59 Duration
Lecture 3 Setting up PySpark 00:05:40 Duration

Section 5 : AWS EC2 PySpark Set-up
Lecture 1 AWS EC2 Set-up Guide
Lecture 2 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM
Lecture 3 SSH with Mac or Linux 00:04:49 Duration
Lecture 4 About Proctor Testing

Section 6 : AWS EMR Cluster Setup
Lecture 1 AWS EMR Setup 00:17:07 Duration

Section 7 : Python Crash Course
Lecture 1 Introduction to Python Crash Course 00:01:26 Duration
Lecture 2 Jupyter Notebook Overview
Lecture 3 Python Crash Course Part One
Lecture 4 Python Crash Course Part Two 00:11:52 Duration
Lecture 5 Python Crash Course Part Three 00:10:59 Duration
Lecture 6 Python Crash Course Exercises 00:01:09 Duration
Lecture 7 Python Crash Course Exercise Solutions 00:09:20 Duration

Section 8 : Spark DataFrame Basics
Lecture 1 Introduction to Spark DataFrames 00:02:19 Duration
Lecture 2 Spark DataFrame Basics 00:10:35 Duration
Lecture 3 Spark DataFrame Basics Part Two 00:09:39 Duration
Lecture 4 Spark DataFrame Basic Operations 00:09:55 Duration
Lecture 5 Groupby and Aggregate Operations 00:11:39 Duration
Lecture 6 Missing Data 00:08:19 Duration
Lecture 7 Dates and Timestamps 00:09:44 Duration

Section 9 : Spark DataFrame Project Exercise
Lecture 1 DataFrame Project Exercise
Lecture 2 DataFrame Project Exercise Solutions 00:16:39 Duration

Section 10 : Introduction to Machine Learning with MLlib
Lecture 1 Introduction to Machine Learning and ISLR 00:10:14 Duration
Lecture 2 Machine Learning with Spark and Python with MLlib 00:08:57 Duration

Section 11 : Linear Regression
Lecture 1 Linear Regression Theory and Reading 00:04:53 Duration
Lecture 2 Linear Regression Documentation Example 00:14:12 Duration
Lecture 3 Regression Evaluation 00:06:40 Duration
Lecture 4 Linear Regression Example Code Along 00:15:07 Duration
Lecture 5 Linear Regression Consulting Project 00:03:04 Duration
Lecture 6 Linear Regression Consulting Project Solutions 00:15:03 Duration

Section 12 : Logistic Regression
Lecture 1 Logistic Regression Theory and Reading 00:11:09 Duration
Lecture 2 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM
Lecture 3 About Proctor Testing
Lecture 4 Logistic Regression Consulting Project 00:03:06 Duration
Lecture 5 Logistic Regression Consulting Project Solutions 00:10:59 Duration

Section 13 : Decision Trees and Random Forests
Lecture 1 About Certification
Lecture 2 Tree Methods Documentation Examples 00:13:09 Duration
Lecture 3 Decision Tress and Random Forest Code Along Examples 00:20:29 Duration
Lecture 4 Random Forest - Classification Consulting Project 00:02:26 Duration
Lecture 5 Random Forest Classification Consulting Project Solutions

Section 14 : K-means Clustering
Lecture 1 K-means Clustering Theory and Reading 00:06:47 Duration
Lecture 2 KMeans Clustering Documentation Example 00:09:43 Duration
Lecture 3 Clustering Example Code Along 00:12:38 Duration
Lecture 4 Clustering Consulting Project 00:03:02 Duration
Lecture 5 Clustering Consulting Project Solutions 00:08:29 Duration

Section 15 : Collaborative Filtering for Recommender Systems
Lecture 1 Introduction to Recommender Systems 00:06:26 Duration
Lecture 2 Recommender System - Code Along Project 00:11:30 Duration

Section 16 : Natural Language Processing
Lecture 1 Introduction to Natural Language Processing 00:07:54 Duration
Lecture 2 NLP Tools Part One 00:15:31 Duration
Lecture 3 NLP Tools Part Two 00:07:40 Duration
Lecture 4 Natural Language Processing Code Along Project 00:13:57 Duration

Section 17 : Spark Streaming with Python
Lecture 1 Introduction to Streaming with Spark! 00:10:11 Duration
Lecture 2 Spark Streaming Documentation Example 00:11:48 Duration
Lecture 3 Spark Streaming Twitter Project - Part 00:04:23 Duration
Lecture 4 Spark Streaming Twitter Project - Part Two 00:12:38 Duration
Lecture 5 Spark Streaming Twitter Project - Part Three 00:17:28 Duration