Course curriculum

  1. 01

    • Introduction

    • Project Files
  2. 02

    • Python Installation

    • Installing Apache Spark

    • Installing Java (Optional)

    • Testing Apache Spark Installation

    • Installing MongoDB

    • Installing NoSQL Booster for MongoDB
  3. 03

    • Integrating PySpark with Jupyter Notebook

    • Data Extraction

    • Data Transformation

    • Loading Data into MongoDB
  4. 04

    • Data Pre-processing

    • Building the Predictive Model

    • Creating the Prediction Dataset
  5. 05

    • Installing Visual Studio Code IDE

    • Creating the PySpark ETL Script

    • Creating the Machine Learning Script
  6. 06

    • Installing Power BI Desktop

    • Installing MongoDB ODBC Drivers

    • Creating a System DSN for MongoDB

    • Loading the Data Sources

    • Creating a Geo Map

    • Creating a Table Plot

    • Creating an Area Chart

    • Creating a Bar Chart

    • Creating a Doughnut Chart
  7. 07

    • Source Code and Notebook