Data Driven Decision Making

Details

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

Delivery Method	Duration
Classroom	2 days	Get a Quote
Live Virtual Training	2 days	Get a Quote

Discounts Available

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

Brochure:

Information may change without notice.

Audience

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

Pre-Requisites

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:

Pay for 6 delegates (whether you have them or not) and we will schedule the course as soon as possible.
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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