Course curriculum

  1. 01
    • Introduction

    • Project Files

  2. 02
    • Python Installation

    • Installing Third Party Libraries

    • 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
    • Loading the Data Sources from MongoDB

    • Creating a Map Plot

    • Creating a Bar Chart

    • Creating a Magnitude Plot

    • Creating a Grid Plot

  6. 06
    • Installing Visual Studio Code

    • Creating the PySpark ETL Script

    • Creating the Machine Learning Script

    • Creating the Dashboard Server

  7. 07
    • Sources Code