The Knowledge Academy Logo
The Knowledge Academy Logo
01344 203999 - Available 24/7
Empty

Send us your message.

X

Data Analysis Skills

Key points about this course


Duration: 1 Days*

Dates & Prices Enquire

Available delivery methods for this course

Classroom Icon

Classroom

Onsite Icon

Onsite

Online Icon

Online

Virtual Icon

Live Virtual

Course Information

 

Data Analysis Skills Overview

This Data Analysis Skills training consists of a 1 day course that aims to provide delegates with the opportunity to develop their skills within data analysis and identify the most appropriate approach for your organisation. This training is incredibly important for an organisation as it enables the company to understand the data they collect, and how its assessment can be used to improve the organisation’s processes and outputs.

 

This training course comes under the topic of Presentation Skills, which aims to provide training on all the necessary skills needed to produce sufficient evidence to present improvements within an organisation. As well as Data Analysis Skills, this topic includes: Business Writing Skills and Presentation Skills

Data Analysis Skills Outline

This Data Analysis Skills training will cover the following modules:

Module 1: Introductions and Agenda

  • Health and safety (evacuation procedure)

  • Facilitator introduction

  • Participant introductions

 

Module 2: Data Analysis and Synthesis

  • Overview of statistics applied in organisations

  • Defining the problem or opportunity

  • Evidence/fact driven analysis

  • Splitting the data (working at the right level of detail)

  • Cognitive bias, how it skews data analysis, and produces bad outcomes

  • Using inductive and deductive approaches to validate data

  • Building valid hypothetical models, based on sound analysis

 

Module 3: Developing and Testing Hypotheses

  • Defining tests for your hypotheses

  • Using control groups as a baseline

  • Group selection, the risk of a skewed sample

  • Selecting a reasonable sample from the data population

  • Validating survey data

 

Module 4: Working with Decision Variables and Optimising Solutions

  • Understanding your constraints

  • Identifying variables that you can control

  • Developing realistic assumptions

  • Optimising your worksheet

  • Managing negatively linked variables

 

Module 5: Statistical and Other Tools

  • The probability based approach

  • Common traps in using probability

  • Defining the ‘middle’ of the data, mean, mode, media

  • Calculating confidence (standard deviation, the three sigma rule)

  • Different types of probability curves

  • Sensitivity analysis

  • Correlation

  • Cause and effect analysis

  • Regression analysis (simple, multi-variate, step by step, and hierarchical)

  • Decision trees

  • Expected monetary value calculations

  • Monte Carlo analysis

  • Heuristics

 

Module 6: Using Graphics to Present Data

  • When to use charts to enhance comprehension

  • The basics of visual literacy, bringing the data to life

  • The psychology of charts

  • The potential traps of using charts

  • Different types of charts, for different data sets, bar charts, histograms, histographs, tornado diagrams, radar diagrams, area diagrams, grouped columns, stacked columns, pie charts

  • The crucial importance of aligning chart and title

  • Using non-numeric charts to present data

  • Recap of course content

  • Questions and answers

  • Ebbinghaus (memory reinforcing) final exercise

Who should attend?

This Data Analysis Skills training course is designed for any individual that is responsible for or need the skills to complete data analysis. This course would be especially useful for individuals in Data Analyst or Data Operations roles.

 

Prerequisites

There are no prerequisites for undertaking this course, therefore anybody can attend.

The Knowledge Academy offer training in a variety of locations across the UK and around the world, making it easy to find a training venue near you.
There are no prerequisites for enrolling on this Data Analysis Skills course.
No, delegates do not need to take an examination to pass this Data Analysis Skills course.
The course will begin at 9 am and finish by 5 pm. We ask that delegates arrive at the venue by 8:45 am so that the course can begin promptly at 9 am.

Data Analysis Skills Examination

There is no examination for this Data Analysis Skills training course. Completion is based on full attendance and participation in the course.

Dates & Prices

Select your preferred delivery method

Choose a Region

Choose a Location

Choose a Month

Office Icon Attend your course from the office or home
Trainers Icon Interactive support from experienced trainers
Simple Icon Simple to setup and easy to use on any device

Complete the steps below to receive a quote or more information

How will you be funding your training?

Self funding

Company funding

Not sure

Key points about this course


Duration: 1 Days*


Why choose TKA logo


Gold Tag

Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

Delivery Icon

Various delivery methods

Flexible delivery methods are available depending on your learning style.

Resource Icon

Resources

Resources are included for a comprehensive learning experience.

Thames Water Logo

"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

Google Logo
Samsung Logo
Shell Logo

"...the trainer for this course was excellent. I would definitely recommend (and already have) this course to others."

Diane Gray, Shell

Trustpilot