Course curriculum

  1. 01
    • Introduction

    • Source Code and Notebook

  2. 02
    • Python Installation

    • Installing Java (Optional)

    • Installing Apache Spark

    • 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

    • Creating the PySpark ETL Script

    • Creating the Machine Learning Script

  6. 06
    • Installing Tableau

    • Installing MongoDB ODBC Drivers

    • Creating a System DSN for MongoDB

    • Loading the Data Sources

    • Creating a Geo Map

    • Creating a Bar Chart

    • Creating a Magnitude Chart

    • Creating a Table Plot

    • Creating a Dashboard

  7. 07
    • Source Code and Notebook