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Big Data Specialization

Big Data Specialization

Unlock Value in Massive Data sets. Learn fundamental big data methods in six straightforward courses.

2 Reviews

Course Highlights

  • Offered by University of California San Diego

  • Learn from eminent industry experts

  • Career Building Sessions

Top Recruiters

7 Day Exchange Policy

Duration: 210 Days

Mode of learning: Offline self study

Course Overview

What are the course deliverables ?
  • Shareable Specialization and Course Certificates

  • Self-Paced Learning Option

  • Course Videos & Reading

  • Practice Quizzes

  • Graded Assignments with Peer Feedback

  • Graded Quizzes with Feedback

  • Graded Programming Assignments

More about this course
  • Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers.You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.

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    Average Rating


    Based on 2 Ratings

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    Swati Tiwari

    The course was designed so as the learner's knowledge to be increase. I found a little bit hard for a beginner because the theory was more inspite of having practical knowledge. The quality was assignment was also good. In my views I will rate 3 out of 5 ratings to the course.

    Soham Ghosh

    Coursera is one of the great experience learning. Perfectly mixed with assignments and doubt clearing forums.
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