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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.
This Data Analysis Skills training will cover the following modules:
Module 1: Introductions and Agenda
Health and safety (evacuation procedure)
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
Cause and effect analysis
Regression analysis (simple, multi-variate, step by step, and hierarchical)
Expected monetary value calculations
Monte Carlo analysis
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
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.
There are no prerequisites for undertaking this course, therefore anybody can attend.
There is no examination for this Data Analysis Skills training course. Completion is based on full attendance and participation in the course.
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Various delivery methods
Flexible delivery methods are available depending on your learning style.
Resources are included for a comprehensive learning experience.
"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
"...the trainer for this course was excellent. I would definitely recommend (and already have) this course to others."
Diane Gray, Shell
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