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GIBS

Gordon Institute of Business Science
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About DigitalCampus

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Want to join our team, see ur current vacancies

DigitalCampus partners with the best to bring digitally enabled learning to you, to ignite high performance and place trusted certifications in the palm of your hand.

DigitalCampus Trusted University Partners

About GIBS

One of Africa’s top business schools focused on leadership and executive education.
About SMU

South Africa’s dedicated health sciences university advancing healthcare education and research.
About Rhodes

A business school focused on ethical leadership and entrepreneurial thinking.
About WITS

A leading South African university known for innovation and academic excellence.
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Predictive Analytics

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Gordon Institute of Business Science

Predictive Analytics

This course is designed to move beyond merely understanding past trends and instead focuses on projecting what may happen in the future.

Course price:

R4,980.00 (excl. VAT)

Payment options
Intake date: 

To be confirmed.

Register by: To be confirmed
Register now

Online course information

Overview

Looking to the past to predict the future

Since the dawn of mankind, we have been obsessed with predicting the future – knowing what’s going to happen next. Now, using historical data and algorithms and harnessing technologies like machine learning, deep learning and neural networks, we’re closer than ever to being able to see the future. Through Predictive Analytics, this process enables more informed business decisions and innovations to futureproof your bottom-line.

 

What will you do better after the course?

You will develop an understanding of how organisational value is derived through Predictive Analytics and how to institute this within your organisation. You will acquire the skills and knowledge to build an effective business case for the application of Predictive Analytics, and for the creation of a framework for organisational value creation using Predictive Analytic tools and techniques.

Outcomes

What will you learn?

  • Understanding data and the big data landscape:
    • How data and the big data landscape are evolving
    • Why Predictive Analytics matters for business
  • Different phases of analytics: descriptive, predictive and prescriptive:
    • How to move between the phases
  • Organisational barriers and challenges to the adoption of data and big data analytics
  • Tools and techniques used to analyse internal data for organisational value

Audience

Who would benefit?

  • General managers
  • Marketing and sales managers
  • Finance managers
  • Human resource managers
  • Data-related project managers
  • Digital transformation professionals
  • Technology leaders
  • Engineering leads
  • Change Managers

What will you achieve?

What will you learn?

  • Understanding data and the big data landscape:
    • How data and the big data landscape are evolving
    • Why Predictive Analytics matters for business
  • Different phases of analytics: descriptive, predictive and prescriptive:
    • How to move between the phases
  • Organisational barriers and challenges to the adoption of data and big data analytics
  • Tools and techniques used to analyse internal data for organisational value

Who is this course for?

Who would benefit?

  • General managers
  • Marketing and sales managers
  • Finance managers
  • Human resource managers
  • Data-related project managers
  • Digital transformation professionals
  • Technology leaders
  • Engineering leads
  • Change Managers

What will you achieve?

What will you learn?

  • Understanding data and the big data landscape:
    • How data and the big data landscape are evolving
    • Why Predictive Analytics matters for business
  • Different phases of analytics: descriptive, predictive and prescriptive:
    • How to move between the phases
  • Organisational barriers and challenges to the adoption of data and big data analytics
  • Tools and techniques used to analyse internal data for organisational value

Who is this course for?

Who would benefit?

  • General managers
  • Marketing and sales managers
  • Finance managers
  • Human resource managers
  • Data-related project managers
  • Digital transformation professionals
  • Technology leaders
  • Engineering leads
  • Change Managers
Course summary
Format:

Certified Online Short Course

NQF level:

7

Duration:

2 months

Hours per week

4

Breakdown

Between 4 and 6 hours at your own pace

Certification:

Certified Online Short Course

Language

English

Course Lecturer

OR

Ms. Odette Ramsingh

(Human resources and personal mastery)

Learn more

OR

Ms. Odette Ramsingh

(Human resources and personal mastery)

Learn more

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Credly

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Students. Accomplished

With the experiece and the learning that I have acquired from this course my work is more efficient now and I think I am a better professional.

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