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Intro to Hadoop and MapReduce

In this short course, learn the fundamentals of MapReduce and Apache Hadoop to start making sense of Big Data in the real world!

  • Course
  • 3.9 (28)
  • Updated: Mar 7, 2022
Free Course

Intro to Hadoop and MapReduce

Skills you'll learn

1 skill

  • Hadoop

Prerequisites

0 prerequisites

You will need to be able to communicate fluently and professionally in written and spoken English.

Course Outline

  • 7 lessons

Program Instructors

3 instructors

Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:

Sarah Sproehnle

Instructor

Ian Wrigley

Instructor

Gundega Dekena

Instructor

Sarah Sproehnle

Instructor

Ian Wrigley

Instructor

Gundega Dekena

Instructor

Reviews

Average Rating: 3.9 (28 Reviews)

Súper valioso para mi rubro.

Carla Vera

Apr 30, 2026

nice course

DEPENDER Depender

Apr 27, 2026

Good Course

Gargi Singh

Apr 27, 2026

good course and work

simon ngugi

Apr 24, 2026

Here are the review options again in a format that is easy to copy and paste: Reason1: Practical Skills Great course! It provided a very clear and practical introduction to A/B testing. The examples using Alteryx were especially helpful for understanding how to apply these concepts in a real business setting. Reason2: Curriculum Logic I really appreciated the focus on experimental design, such as learning how to calculate the necessary duration for experiments and the amount of historical data needed for accurate trend analysis. Very insightful Reason 3: Professional Focus Excellent content for anyone looking to move into data or business analytics. The course breaks down complex statistical concepts into manageable, actionable steps that are easy to follow. Res 4: Short & Simple High-quality material with practical examples. The quizzes were a great way to test my knowledge of data collection and analysis.

Zion genene Bah

Apr 23, 2026

Free Course

Intro to Hadoop and MapReduce

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