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
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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1 Year Access 
245 Students 
5 hours, 4 minutes 
