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Data Analysis Skills

Key points about this course


Duration: 1 Days*

Rating: Excellent

Language: English

Dates & Prices Enquire
  • Understand Data Analysis and Synthesis.
  • Learn different Statistical data and Other Tools.
  • Learn how to use Graphics to Present Data.

Available delivery methods for this course

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Classroom

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Live Virtual

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Online

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In-house

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

Data Analysis Skills training will cover the following modules:

Module 1: 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 2: 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 3: 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 4: 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 5: 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 Training Course?

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.

What's included in this Data Analysis Training Course?

  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

Key points about this course


Duration: 1 Days*

Rating: Excellent

Language: English

Dates & Prices Enquire

Upcoming classes

Dates & Prices

Select your preferred delivery method

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VirtualLive Virtual
Fri 9th Aug 2019
Places available
$2995
VirtualLive Virtual
Fri 13th Sep 2019
Places available
$2995
Melbourne
Fri 13th Sep 2019
Places available
$2365
Canberra
Fri 13th Sep 2019
Places available
$2365
Sydney
Fri 13th Sep 2019
Places available
$2365
Adelaide
Fri 13th Sep 2019
Places available
$3095
Brisbane
Fri 13th Sep 2019
Places available
$3095
Perth
Fri 13th Sep 2019
Places available
$3095
VirtualLive Virtual
Fri 11th Oct 2019
Places available
$2995
VirtualLive Virtual
Fri 8th Nov 2019
Places available
$2995
Melbourne
Fri 8th Nov 2019
Places available
$2365
Canberra
Fri 8th Nov 2019
Places available
$2365
Sydney
Fri 8th Nov 2019
Places available
$2365
Brisbane
Fri 8th Nov 2019
Places available
$3095
Perth
Fri 8th Nov 2019
Places available
$3095
Adelaide
Fri 8th Nov 2019
Places available
$3095
VirtualLive Virtual
Fri 13th Dec 2019
Places available
$2995

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How will you be funding your training?

Self funding

Company funding

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Key points about this course


Duration: 1 Days*

Rating: Excellent

Language: English


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Various delivery methods

Flexible delivery methods are available depending on your learning style.

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Resources

Resources are included for a comprehensive learning experience.

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"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

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

Diane Gray, Shell