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Overview

By enroling in Building Big Data Pipelines with PySpark MongoDB and Bokeh, you can kickstart your vibrant career and strengthen your profound knowledge. You can learn everything you need to know about the topic.

The Building Big Data Pipelines with PySpark MongoDB and Bokeh course includes all of the most recent information to keep you abreast of the employment market and prepare you for your future. The curriculum for this excellent Building Big Data Pipelines with PySpark MongoDB and Bokeh course includes modules at all skill levels, from beginner to expert. You will have the productivity necessary to succeed in your organisation once you have completed our Building Big Data Pipelines with PySpark MongoDB and Bokeh Program.

So enrol in our Building Big Data Pipelines with PySpark MongoDB and Bokeh course right away if you’re keen to envision yourself in a rewarding career.

Description

Enroling in this Building Big Data Pipelines with PySpark MongoDB and Bokeh course can improve your Building Big Data Pipelines with PySpark MongoDB and Bokeh perspective, regardless of your skill levels in the Building Big Data Pipelines with PySpark MongoDB and Bokeh topics you want to master. If you’re already a Building Big Data Pipelines with PySpark MongoDB and Bokeh expert, this peek under the hood will provide you with suggestions for accelerating your learning, including advanced Building Big Data Pipelines with PySpark MongoDB and Bokeh insights that will help you make the most of your time. This Building Big Data Pipelines with PySpark MongoDB and Bokeh course will act as a guide for you if you’ve ever wished to excel at Building Big Data Pipelines with PySpark MongoDB and Bokeh.

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Certificate of Achievement

Upon successful completion, you will qualify for the UK and internationally-recognised CPD certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £4.99 and Hardcopy Certificate for £9.99.

Who Is This Course For?​

This Building Big Data Pipelines with PySpark MongoDB and Bokeh course is a great place to start if you’re looking to start a new career in Building Big Data Pipelines with PySpark MongoDB and Bokeh field. This training is for anyone interested in gaining in-demand Building Big Data Pipelines with PySpark MongoDB and Bokeh proficiency to help launch a career or their business aptitude. 

Requirements​

The Building Big Data Pipelines with PySpark MongoDB and Bokeh course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of Building Big Data Pipelines with PySpark MongoDB and Bokeh, without any fuss.

Career Path​

This Building Big Data Pipelines with PySpark MongoDB and Bokeh training will assist you develop your Building Big Data Pipelines with PySpark MongoDB and Bokeh ability, establish a personal brand, and present a portfolio of relevant talents. It will help you articulate a  Building Big Data Pipelines with PySpark MongoDB and Bokeh professional story and personalise your path to a new career. Furthermore, developing this Building Big Data Pipelines with PySpark MongoDB and Bokeh skillset can lead to numerous opportunities for high-paying jobs in a variety of fields.

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Course Curriculum

Section 01: Introduction
Introduction 00:10:00
Section 02: Setup and Installations
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
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: Data Visualization
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
Section 06: Creating the Data Pipeline Scripts
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
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