Skills you will learn

  • Big data Spark ecosystem
  • Apache Spark architecture
  • Spark Streaming
  • Spark MLlib
  • Spark SQL

Who should learn

  • Aspiring data scientists
  • Aspiring big data engineers
  • BI professionals
  • Software developers
  • IT professionals
  • Project managers

What you will learn

  • Apache Spark Beginners Course

    • Introduction

      01:31
      • Introduction Apache Spark
        01:31
    • Lesson 01: All about Apache Spark

      06:24
      • All about Apache Spark
        06:24
    • Lesson 02: Hadoop vs Spark

      05:47
      • Hadoop vs Spark
        05:47
    • Lesson 03: Components of Apache Spark

      19:18
      • Components of Apache Spark
        19:18
    • Lesson 04: Spark Architecture

      06:44
      • Spark Architecture
        06:44
    • Lesson 05:Applications of Spark

      04:09
      • Applications of Spark
        04:09
    • Lesson 06: Running a Spark Application

      17:00
      • Running a Spark Application
        17:00
    • Lesson 07: Apache Spark Installation on Windows

      30:56
      • Apache Spark Installation on Windows
        30:56
    • Lesson 08: Apache Spark Installation on Ubuntu

      17:42
      • Apache Spark Installation on Ubuntu
        17:42
    • Lesson 09: Spark Streaming

      29:03
      • Spark Streaming
        29:03
    • Lesson 10: Demo on Spark Streaming

      28:34
      • Demo on Spark Streaming
        28:34
    • Lesson 11: Spark MLlib

      31:15
      • Spark MLlib
        31:15
    • Lesson 12: Spark MLlib Demo

      42:47
      • Spark MLlib Demo
        42:47
    • Lesson 14: Spark SQL Demo

      28:48
      • Spark SQL Demo
        28:48
    • Lesson 15: PySpark Demo

      49:52
      • PySpark
        49:52
    • Lesson 16: PySpark Demo

      08:51
      • PySpark Demo
        08:51
    • Lesson 17: Spark Interview Questions

      50:13
      • Spark Interview Questions
        50:13

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Why you should learn

47% vs 14%

Installation growth rate of Apache Spark vs Hadoop
 

$121K

Average salary of a Spark developer

FAQs

  • How do beginners learn Spark online?

    Beginners who want to learn Spark can start with the fundamentals first. Once you have mastered the basics you can move on to the advanced topics.

  • How long does it take to learn Spark?

    The Spark free course consists of 7 hours of video content that will help you gain a thorough understanding.

  • Is Apache Spark easy to learn?

    The videos that you find as a part of the Spark free course are created by mentors who are industry leaders with vast experience in the field. They are aware of the needs of different learners and have designed the course to be easy to learn.
     

  • What are the Spark basics covered in this free course?

    The Spark basics covered in the course include: 

    • Big data Spark ecosystem
    • Apache Spark architecture
    • Spark Streaming
    • Spark MLlib
    • Spark SQL

  • Can I learn Spark in 90 days?

    Yes, you can learn Spark online within 90 days.

  • Will I get a certificate after completing the Spark free course?

    Yes, You will receive a Course Completion Certificate from SkillUp upon completing the Apache Spark free program. You can unlock it by logging in to your SkillUp account. As soon as the certificate is unlocked, you will receive a mail with a link to your SkillUp learning dashboard on your registered mail address. Click the link to view and download your certificate. You can even add the certificate to your resume and share it on social media platforms.

  • What are my next best learning options after completing this free Spark course?

    After completing this free Spark course, you can opt for the Big Data Engineer provided by Simplilearn.

  • What are the career opportunities after learning Spark?

    Common careers after learning Spark include:

    • Spark developer
    • Big data engineer
    • Data scientist
    • Data analyst
    • Big data developer

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.