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Data Driven Decision Making


Data Driven Decision Making


Accredited Business Leadership
Analyse Financial Information SAQA US252036
Business Succession Planning
Change Management SAQA US252021
Coach Managers SAQA US252035
Coaching Skills for Today's Leaders
Conduct Negotiations SAQA US117853
Conflict Resolution The Definitive Approach
Courageous Conversations
Critical Thinking
Cultural Intelligence (CQ)
Decision Making SAQA US252026
Developing High Performance Teams
Diversity & Conflict Management
Emotional Intelligence SAQA US252031
Introduction to Project Management
Knowledge Management SAQA US252044
Leadership Essentials SAQA US120300
Leadership Skills for Supervisors
Leading With Emotional Intelligence
Manage Conflicts SAQA US114226
Manage Organisational Culture SAQA US252042
Manage Recruitment SAQA US12140
Manage Talent SAQA US252029
Manage Team Performance SAQA US252034
Managing Diversity SAQA US252043
Managing the Project Team
Managing Workplace Relationships SAQA US252027
Motivation Training: Motivating Your Workforce
National Certificate in Management
Operational Planning SAQA US252032
Problem Solving and Decision Making
Problem-Solving SAQA US242817
Project Management Bootcamp
Project Management Tools and Techniques US120385
Project Planning SAQA US252022
Promote a Learning Culture SAQA US252041
Promoting Innovation SAQA US252020
Relationship Management
Sales Leadership and Sales Management
The ABCs of Supervising Others
The Accredited Professional Manager SAQA US252037
The Accredited Professional Supervisor
The Art of Delegating
The Professional Manager
The Professional Supervisor


Mark Badham


With the ease of gathering and storing data, successful businesses are learning the benefits of using data to drive the decision-making process. Learn how you can make better data-driven decisions.

In this course you will learn:

  • Why it is important to base your decisions on data
  • How Systems Thinking can be used to better understand your processes
  • The fundamentals of data analysis
  • A little bit of the statistical theory behind data analysis
  • How to use Excel to put this into practice.

Delivery Methods

Leading Training is focusing on providing virtual training courses for the foreseeable future and will only consider in-person and classroom training on request, with a required minimum group size of six delegates. We remain committed to offering training that is fast, focused and effective.

Delivery Method Duration Price (excl. VAT)
Fulltime 2 days R 6,200.00 Get a Quote
Webinar 2 days R 4,800.00 Get a Quote

Discounts Available

Save up to 10% by booking and paying 10 business days before the course.


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Information may change without notice.


  • Business managers and leaders at all levels
  • Project managers
  • Those interested in learning data analysis


Critical Thinking

Course Outline / Curriculum

Why Data-driven Decision Making?

  • Bias and noise
  • Data is everywhere
  • People are predictable (to an extent)

Introduction to Systems Thinking

Harnessing data effectively is challenging. Fortunately, there’s an answer. We call this System Thinking for data – and it represents an end-to-end, enterprise-wide vision for how data, applications, processes, and people can all work in concert to drive innovation and change. System Thinking is so essential for data leaders today. It's is critical for data scientists to have a good appreciation of systems thinking and also to practice it.

Peter Senge sums up lucidly what systems thinking is: “Systems thinking is a discipline for seeing the ‘structures’ that underlie complex situations, and for discerning high from low leverage change. That is, by seeing wholes we learn how to foster health. To do so, systems thinking offers a language that begins by restructuring how we think.”

There are many stakeholders, such as LOB business analysts, data scientists, data engineers, data stewards, data governance councils, InfoSec analysts, administrators, and more.  System Thinking is crucial to enabling all these people to work together effectively.

Introduction Data Analysis

  • Choosing data
  • Preparing and cleaning data
  • Data models
  • Storytelling with data

Some Statistics You should Know

  • Descriptive Statistics 
    • Summary stats (means, std dev, etc)
    • Observations, populations, and samples
  • Inferential Statistics 
    • Probability distribution functions 
    • Parameters
    • Skewness and Kurtosis
    • Describe a Probability Distribution’s Shape
    • Confidence

Practical Using Excel

  • Using statistical functions
  • Preparing data in Excel
  • Performing confidence tests
  • Linear regression and other modeling techniques
  • Data presentation

Schedule Dates and Booking

There are currently no scheduled dates.

Please note that this course needs a minimum of 6 delegates to schedule a course. You can choose to be added to the waiting list by clicking the button below and we will contact you when we have enough delegates interested. Should we not get enough delegates, we will refund or credit your paid booking.

Add me to the waiting list

Should you need this course urgently, the following options are available:

  1. Pay for 6 delegates (whether you have them or not) and we will schedule the course as soon as possible.
  2. If you have fewer delegates and cannot pay for 6, we can negotiate a shortened course where some of the time will be spent in blended learning - watching videos and doing tutorials and exercises with some contact time with the trainer. We would want to discuss what your core needs are so that we cover those aspects. You need to have paid for 3 delegates at least.
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