Big Data

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Big Data provided by edX is a comprehensive online course, which lasts for 46 weeks long, 7-9 hours a week. Big Data is taught by Aneta Neumann, Katrina Falkner, ​Claudia Szabo, Nick Falkner, David Suter, Lewis Mitchell, Simon Tuke, Frank Neumann, Gary Glonek, Lingqiao Liu, Gavin Meredith, Ian Knight, Markus Wagner, Wanru (Kelly) Gao and Vahid Roostapour. Upon completion of the course, you can receive an e-certificate from edX. The course is taught in Englishand is $1,095.00. Visit the course page at edX for detailed price information.

Overview
  • Big data is changing the way businesses operate. Driven by a new scale of data collection that provides massive levels of information, businesses are now able to analyse and gather data insights to make better-informed decisions.

    Data scientists and business analysts are in high-demand as companies look to use data to improve their business operations.

    In this Big Data MicroMasters program, you will learn tools and analytical methods to use data for decision-making, collect and organise data at scale, and gain an understanding of how data analysis can help to inform change within organisations.

    You’ll develop both the technical and computational skills that are in high demand across a range of industries. You’ll develop critical skills in programming for data science, computational thinking, algorithm design, big data fundamentals, and data-driven analysis, with plenty of opportunities to apply and explore your new learnings through a range of case studies.

Syllabus
  • Courses under this program:
    Course 1: Programming for Data Science

    Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems.



    Course 2: Computational Thinking and Big Data

    Learn the core concepts of computational thinking and how to collect, clean and consolidate large-scale datasets.



    Course 3: Big Data Fundamentals

    Learn how big data is driving organisational change and essential analytical tools and techniques, including data mining and PageRank algorithms.



    Course 4: Big Data Analytics

    Learn key technologies and techniques, including R and Apache Spark, to analyse large-scale data sets to uncover valuable business information.



    Course 5: Big Data Capstone Project

    Further develop your knowledge of big data by applying the skills you have learned to a real-world data science project.