Big Data Specialization

Unlock Value in Massive Datasets

18 student reviews.

Earn a Certificate

  • Specialization via Coursera and University of California, San Diego
  • $444 for 7 months
  • 4 courses + capstone project

Overview

In this Specialization, you will develop a robust set of skills that will allow you to process, analyze, and extract meaningful information from large amounts of complex data. You will develop talking knowledge, and practical execution knowledge, for the Hadoop platform, it's architecture and major elements of the ecosystem. Through hands-on instruction and assignments, you will develop working knowledge of tools, such as Spark, Pig, and Hive, and strategies for processing massive datasets using the map/reduce framework. You will be exposed to these tools and strategies as they might apply in particular to analyzing big data. You will become proficient in carrying out scalable basic analysis and comfortable enough to apply advanced analytics, predictive modeling, or graph analysis to problems in your domain. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned by tuning and scaling your own analysis, building your own model, applying tools in new ways, or some other similar kind of effort, to analyze big data in the whatever area of your choice.This class is designed for non-programmers familiar with SQL and desire big-data skill, and for programmers who are new to big data, or new to big data analytics.

Incentives & Benefits

When you complete this Specialization, you will have a robust set of skills that are in high demand across dozens of modern industries. You will be able to extract meaningful information from large amounts of complex data, using powerful tools such as Splunk and Hadoop, and you’ll be able to build customized applications to analyze and visualize data from various sources.

What You'll Learn

  • Process, analyze, and interpret massive and complex data
  • Use common Big Data technologies, including Splunk and Apache Hadoop
  • Build data tools, visualizations, and dashboards

Recommended Background

    Syllabus

    Reviews for Big Data
    Based on 18 reviews

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    Mostafa Abd Elfattah
    Overall Rating

    Topic coverage

    Job readiness

    Community/staff support

    Felice Pollano
    Overall Rating
    As a software developer with poor knowledge of the big data environment, I would say that this course is useful, it will open your mind to the infrastructure and algorithm used, but it does not goo so deep in technical details. But at least it scratch the surface of the Hadoop framework, so you end up with some more material to research on and you get in touch with the basic concept of the Big Data universe.

    Topic coverage

    Job readiness

    Community/staff support

    Darrall Henderson
    Overall Rating
    This course has all the right stuff, but fails in the execution phase.

    Content is appropriate, but after course one, the level of instruction suffers greatly. Basically sets of slides with a person in the corner reading to you from a sc…

    Topic coverage

    Job readiness

    Community/staff support

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