Course Curriculum
- 7 sections
- 25 lectures
- 00:00:00 total length
-
Introduction
00:10:00
-
Python Installation
00:03:00 -
Installing Third Party Libraries
00:03:00 -
Installing Apache Spark
00:12:00 -
Installing Java (Optional)
00:05:00 -
Testing Apache Spark Installation
00:06:00 -
Installing MongoDB
00:04:00 -
Installing NoSQL Booster for MongoDB
00:07:00
-
Integrating PySpark with Jupyter Notebook
00:05:00 -
Data Extraction
00:19:00 -
Data Transformation
00:15:00 -
Loading Data into MongoDB
00:13:00
-
Data Pre-processing
00:19:00 -
Building the Predictive Model
00:12:00 -
Creating the Prediction Dataset
00:08:00
-
Loading the Data Sources from MongoDB
00:17:00 -
Creating a Map Plot
00:33:00 -
Creating a Bar Chart
00:09:00 -
Creating a Magnitude Plot
00:15:00 -
Creating a Grid Plot
00:09:00
-
Installing Visual Studio Code
00:05:00 -
Creating the PySpark ETL Script
00:24:00 -
Creating the Machine Learning Script
00:30:00 -
Creating the Dashboard Server
00:21:00
-
Source Code and Notebook
00:00:00