Course Highlights
Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Building Big Data Pipelines With PySpark MongoDB And Bokeh course has been specially designed to help learners gain a good command of Building Big Data Pipelines With PySpark MongoDB And Bokeh, providing them with a solid foundation of knowledge to become a qualified professional.
Through this Building Big Data Pipelines With PySpark MongoDB And Bokeh course, you will gain both practical and theoretical understanding of Building Big Data Pipelines With PySpark MongoDB And Bokeh that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.
Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.
Learning outcome
- Familiar yourself with the recent development and updates of the relevant industry
- Know how to use your theoretical knowledge to adapt in any working environment
- Get help from our expert tutors anytime you need
- Access to course contents that are designed and prepared by industry professionals
- Study at your convenient time and from wherever you want
Course media
Why should I take this course?
- Affordable premium-quality E-learning content, you can learn at your own pace.
- You will receive a completion certificate upon completing the course.
- Internationally recognized Accredited Qualification will boost up your resume.
- You will learn the researched and proven approach adopted by successful people to transform their careers.
- You will be able to incorporate various techniques successfully and understand your customers better.
Requirements
- No formal qualifications required, anyone from any academic background can take this course.
- Access to a computer or digital device with internet connectivity.
Course Curriculum
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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
14-Day Money-Back Guarantee
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Duration:5 hours, 4 minutes
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Access:1 Year
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Units:24
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