Dive deep into the revolutionary world of Big Data Analytics with PySpark Power BI and MongoDB and transform your understanding of data management and analysis. This comprehensive course will equip you with the theoretical knowledge needed to leverage the power of PySpark for large-scale data processing, Power BI for insightful data visualization, and MongoDB for efficient data storage. Whether you’re an aspiring data scientist or a seasoned IT professional looking to expand your expertise, this course provides a solid foundation in Big Data Analytics with PySpark Power BI and MongoDB. Explore the intricacies of data processing, machine learning, and data visualization, and become adept at creating seamless data pipelines. Enrol now and take the first step towards mastering the fascinating and ever-evolving field of big data analytics.
Learning Outcomes
After studying the course materials of the Big Data Analytics with PySpark Power BI and MongoDB there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99. Original Hard Copy certificates need to be ordered at an additional cost of £8.
This Big Data Analytics with PySpark Power BI and MongoDB does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Big Data Analytics with PySpark Power BI and MongoDB was made by professionals and it is compatible with all PC’s, Mac’s, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.
Section 01: Introduction | |||
Introduction | 00:10:00 | ||
Section 02: Setup And Installations | |||
Python Installation | 00:03:00 | ||
Installing Apache Spark | 00:12:00 | ||
Installing Java (Optional) | 00:05:00 | ||
Testing Apache Spark Installation | 00:06:00 | ||
Installing MongoDB | 00:03:00 | ||
Installing NoSQL Booster for MongoDB | 00:07:00 | ||
Section 03: Data Processing With PySpark And MongoDB | |||
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 | ||
Section 04: Machine Learning With PySpark And MLlib | |||
Data Pre-processing | 00:19:00 | ||
Building the Predictive Model | 00:12:00 | ||
Creating the Prediction Dataset | 00:08:00 | ||
Section 05: Creating The Data Pipeline Scripts | |||
Installing Visual Studio Code | 00:03:00 | ||
Creating the PySpark ETL Script | 00:22:00 | ||
Creating the Machine Learning Script | 00:24:00 | ||
Section 06: Tableau Data Visualization | |||
Installing Tableau | 00:03:00 | ||
Installing MongoDB ODBC Drivers | 00:03:00 | ||
Creating a System DSN for MongoDB | 00:04:00 | ||
Loading the Data Sources | 00:04:00 | ||
Creating a Geo Map | 00:11:00 | ||
Creating a Bar Chart | 00:03:00 | ||
Creating a Magnitude Chart | 00:07:00 | ||
Creating a Table Plot | 00:06:00 | ||
Creating a Dashboard | 00:07:00 |
Step into the world of seamless content creation with The OBS Course for Recording, your gateway to professional-quality video production. …
0
Delve deeper into the powerful world of Java with Java Mastery Intermediate: Methods, Collections, and Beyond. This course is designed …
0
Take your Java programming skills to new heights with Mastering Advanced Java with Object-Oriented Programming. This course delves deep into …
0