Overview
This comprehensive course on Building Big Data Pipelines with PySpark MongoDB and Bokeh will deepen your understanding on this topic.
After successful completion of this course you can acquire the required skills in this sector. This Building Big Data Pipelines with PySpark MongoDB and Bokeh comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market.
So enrol in this course today to fast-track your career ladder.
How will I get my certificate?
You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.
Who is This course for?
There is no experience or previous qualifications required for enrolment on this Building Big Data Pipelines with PySpark MongoDB and Bokeh. It is available to all students, of all academic backgrounds.
Requirements
Our Building Big Data Pipelines with PySpark MongoDB and Bokeh is fully compatible with PC’s, Mac’s, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.
There is no time limit for completing this course, it can be studied in your own time at your own pace.
Career Path
Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to—
- Open doors of opportunities
- Increase your adaptability
- Keep you relevant
- Boost confidence
And much more!
Course Curriculum
- 7 sections
- 25 lectures
- 5 hours, 4 minutes total length
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Introduction 00:10:00
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Python Installation 00:03:00
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Installing Third Party Libraries 00:03:00
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Installing Apache Spark 00:12:00
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Installing Java (Optional) 00:05:00
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Testing Apache Spark Installation 00:06:00
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Installing MongoDB 00:04:00
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Installing NoSQL Booster for MongoDB 00:07:00
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Integrating PySpark with Jupyter Notebook 00:05:00
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Data Extraction 00:19:00
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Data Transformation 00:15:00
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Loading Data into MongoDB 00:13:00
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Data Pre-processing 00:19:00
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Building the Predictive Model 00:12:00
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Creating the Prediction Dataset 00:08:00
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Loading the Data Sources from MongoDB 00:17:00
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Creating a Map Plot 00:33:00
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Creating a Bar Chart 00:09:00
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Creating a Magnitude Plot 00:15:00
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Creating a Grid Plot 00:09:00
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Installing Visual Studio Code 00:05:00
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Creating the PySpark ETL Script 00:24:00
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Creating the Machine Learning Script 00:30:00
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Creating the Dashboard Server 00:21:00
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Source Code and Notebook
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This course includes:
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Duration:5 hours, 4 minutes
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Access:Lifetime access
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Units:25
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Assignments:No
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Quizzes:No
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Certificate:Yes
