Big Data

Online Short Course

R13,283.00

Course Fees
10
Modules
10 weeks
Duration
Registration

WHY A BIG DATA COURSE?


This course will introduce you to the concepts of Big Data, including modern technology and new approaches to the value of data. The course will familiarise you will key terminology used when referring to Big Data. You will also be exposed to the role of Big Data in business, and the key considerations to keep in mind.

Summary

The concept of Big Data is one of the cornerstones of the 4th industrial revolution. Big Data is part of a family of concepts now known as disruptive technology. The presence of Big Data and the technology that leverages from it has already seeped into our everyday lives, in many ways unnoticed, especially to the uninformed eye, yet caused unmistakeable changes we can only marvel at. This course will, by way of a gentle introduction, explore the concept of Big Data and contrast it with ‘traditional’ data. We will provide clear motivations for its adoption and cover key implementation concepts and caveats, and then delve into modern Big Data technology.

Subject Expert

Christo Strydom started his career as a scientist at Pelindaba’s Van de Graaff research facility and studied Cold Fusion, which was poised to solve all our energy shortcomings. He studied Physics and Mathematics at University of Johannesburg, has a Master’s degree in Nuclear Physics from University of Pretoria, as well as an MBA from Wits Business School.

He joined a stockbroker in 1995 and became a trader in the financial markets. At various times during the next 17 years, he was involved in interest rates, equities, commodities and currencies, and futures and options. Mathematics and statistics were always what gave Christo a niche in these markets.

Christo became what is known in the financial markets as a “multi-disciplinary trader”, and used market data to hunt for profitable, high speed (frequency) trading algorithms. He found that there was so much value in data, and more data simply brought more insight. This volume and speed of data stretched the infrastructure boundaries available at the time.

The techniques Christo learned in multi-disciplinary trading gave him entry to a young and lucrative fintech company in Pretoria that was fully committed to Big Data and data science and using it in a production environment.

After this venture Christo joined a bank in Sandton with the mission to bring Big Data and machine learning (as well as AI) to their loyalty and rewards program.

Tutor Support

Each course is assigned its own Online Academic Tutor, who is ready and waiting to guide and assist their learners throughout their learning experience.

The Online Academic Tutor who is assigned to your course, is trained to build each student up to reach their fullest potential. Students can expect their Online Academic Tutor to answer questions, offering advice and provide further clarification on any academic aspects.

Course and Technical Requirements

BASIC REQUIREMENTS
To successfully access and complete this course, you will be required to have a registered email account, access to a computer/laptop/tablet and stable internet connection. You will be required to be familiar with using a computer as you may need to be able to read and download documents in Adobe PDF Reader, view Microsoft PowerPoint presentations, and read and create documents in Microsoft Word.

ADDITIONAL REQUIREMENTS
Our online short learning programmes may require additional software applications. These additional software applications requirements will be communicated to you in this information pack and/or on the website course page. Damelin Online does not provide any additional software applications required for online short learning programmes.

Please note: Google, YouTube and Vimeo may be used in our online course delivery. If any of these services are blocked in your jurisdiction, you may have difficult in accessing our course content.

How You Will Learn

Our online short learning programmes are broken into self-paced manageable modules, designed to assist you throughout your learning process through diverse learning activities:

  • Learn through all your interactive course notes
  • Review case studies and supplementary resources
  • Apply and evaluate what you have learned in each module with the self-grading quizzes and assignment submissions.
  • View a range of course video lectures presented our Subject Matter Experts
  • Network, collaborate and interact with your fellow participants and Online Course Facilitator via the discussion forum and Zoom webinars.

Certification

Upon successful completion of this online short learning programme, you will receive the recognition of your knowledge and skills with a Damelin Certificate of Competence. Your certificate of competence will be issued in your registered name and will be couriered at no additional cost.

You will be required to complete a series of assessments that will be facilitated through our virtual learning environment. Your course handbook will be made available to you once you have commenced with your short learning programme.

MODULE OUTLINE

  • MODULE 0
    Orientation Module
  • MODULE 1
    Big Data: Introduction
  • MODULE 2
    Big Data: Motivations
  • MODULE 3
    Big Data: Implementation
  • MODULE 4
    Big Data: Technology
  • MODULE 5
    Big Data: Storage and Analysis Concepts
  • MODULE 6
    Big Data: Processing
  • MODULE 7
    Big Data: Storage
  • MODULE 8
    Big Data: Analysis Techniques
  • MODULE 9
    Wrap Up

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