Kick-start your learning
  • Meet Your Mentor
  • Your learning Process - Learn, Train, Practice and Apply
  • Your Course Guide - Pathway to success
  • Resource Bundle - Code and Data
Introduction to Apache Spark
  • Start your Spark engines
  • Setup your Spark / Python environment
  • Run your first Spark Program !
  • Apache Spark eco-system
  • RDD : The foundation of Spark
  • Spark Architecture - How it all works.
  • Spark Project work flow - How it gets done.
  • Spark Architecture
Spark Programming with Python
  • Loading and Storing Data
  • Loading and Storing Data
  • @Practice() Loading and Storing Data
  • Transformations - Change how data looks
  • Transformations
  • @Practice() Transformations
  • Actions - Extract insights from Data
  • Actions
  • @Practice() Actions
  • Key-Value RDDs
  • Key-Value RDDs
  • @Practice() Key-Value RDDs
  • Advanced Spark
  • Advanced Spark - Enhanced Capabilities
  • @Practice() Advanced Spark
Spark SQL
  • Spark SQL Data Frames - the new era
  • SQL Data Frames
  • @Practice() SQL Data Frames
  • Temp Tables / Views - Easy querying
  • Temp Tables / Views
  • @Practice() Temp Tables/ Views
Spark Streaming
  • Spark Streaming - real time data processing
  • Spark Streaming Architecture - how it works.
  • Spark Streaming
Machine Learning with Spark
  • Types of Analytics - simple to predictive
  • Types of Machine Learning
  • Analyzing results and Errors
  • Spark ML Concepts - new data types
  • Linear Regression - fit to a line
  • Linear Regression Use Case
  • Decision Trees Classification
  • Decision Trees Use Case
  • Principal Component Analysis
  • Random Forest Classification
  • Random Forests and PCA Use Case
  • Text Pre-processing with TF-IDF
  • Naive Bayes Classification
  • Naive Bayes and Text Pre-processing Use Case
  • K-Means Clustering - grouping similar items
  • K-Means Clustering Use Case
  • Recommendation Engines
  • Recommendation Engines Use Case
APPLY : Your Course Challenge Project
  • Real world problem Statement - Credit Card defaulters
  • Hints to help you with the project
  • Final Solution Review - we did it !
Conclusion
  • Closing Remarks
  • BONUS Lecture - Your next steps & Discount coupons