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IBM - Data Engineering and Machine Learning using Spark 

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Data Engineering and Machine Learning using Spark
 at 
Coursera 
Overview

Duration

6 hours

Total fee

Free

Mode of learning

Online

Official Website

Explore Free Course External Link Icon

Credential

Certificate

Data Engineering and Machine Learning using Spark
 at 
Coursera 
Highlights

  • Flexible deadlines Reset deadlines in accordance to your schedule.
  • Shareable Certificate Earn a Certificate upon completion
  • 100% online Start instantly and learn at your own schedule.
  • Course 8 of 13 in the IBM Data Engineering
  • Beginner Level Computer and IT literacy.
  • Approx. 6 hours to complete
  • English Subtitles: English
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Details Icon

Data Engineering and Machine Learning using Spark
 at 
Coursera 
Course details

Skills you will learn
More about this course
  • Organizations need skilled, forward-thinking Big Data practitioners who can apply their business and technical skills to unstructured data such as tweets, posts, pictures, audio files, videos, sensor data, and satellite imagery and more to identify behaviors and preferences of prospects, clients, competitors, and others.
  • In this short course you'll gain practical skills when you learn how to work with Apache Spark for Data Engineering and Machine Learning (ML) applications. You will work hands-on with Spark MLlib, Spark Structured Streaming, and more to perform extract, transform and load (ETL) tasks as well as Regression, Classification, and Clustering.
  • The course culminates in a project where you will apply your Spark skills to an ETL for ML workflow use-case.
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Data Engineering and Machine Learning using Spark
 at 
Coursera 
Curriculum

Spark for Data Engineering

Spark Structured Streaming

GraphFrames on Apache Spark

ETL Workloads

Course Introduction

Summary & Highlights

Practice Quiz: Spark for Data Engineering

Graded Quiz: Spark for Data Engineering

SparkML

SparkML Fundamentals

Classification and Regression using Apache Spark

SparkML Clustering

Summary & Highlights

Practice Quiz: SparkML

Graded Quiz: SparkML

Final Project

Project Overview

Congratulations & Next Steps

Team & Acknowledgements

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Data Engineering and Machine Learning using Spark
 at 
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