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Data Management, Manipulation & Analysis using Excel

Overview

The ability to analyze data is a powerful skill that helps you make better decisions. Microsoft Excel is one of the top tools for data analysis and the built-in pivot tables are arguably the most popular analytic tool.

In this course, you will learn how to perform data analysis using Excel’s most popular features. You will learn how to create pivot tables from a range with rows and columns in Excel. You will see the power of Excel pivots in action and their ability to summarize data in flexible ways, enabling quick exploration of data and producing valuable insights from the accumulated data.

Pivots are used in many different industries by millions of users who share the goal of reporting the performance of companies and organizations. In addition, Excel formulas can be used to aggregate data to create meaningful reports. To complement, pivot charts and slicers can be used together to visualize data and create easy to use dashboards.

You should have a basic understanding of creating formulas and how cells are referenced by rows and columns within Excel to take this course. If required, you can can find many help topics on Excel at the Microsoft Office Support Site. You are welcome to use any supported version of Excel you have installed in your computer, however, the instructions are based on Excel 2016.

In case you still think that Excel is a tool that is used only by people in your company’s finance department? If so, you are wrong. It does have fantastic financial modeling capability but it offers so much more than that. Excel is not reserved for financial data. Everyone in middle to senior management manages some kind of data and hence the need to attend this course.

Who Should Attend

  • Administrators using MS Excel at a very basic level
  • Administrators with a need to improve data management techniques utilising MS Excel
  • New Administrative Staff with no prior knowledge of MS Excel
  • HR professionals seeking to use MS Excel to analyse employee data and inventory data
  • Oil and Gas, telecommunications and electricity industry employees looking to improve their data management and data representation skills

Course Outlines

Day One: An Introduction to the MS Excel Environment

  • Cell referencing, cell formatting and entering formula
  • Workbooks versus Worksheets
  • Copy and pasting
  • Left click versus right click
  • Paste Special
  • Introductory charts

 

Day Two: Using MS Excel Functions for Fundamental Data Analysis

  • Use of text function, FIND(), LEN(), LEFT(), RIGHT() and &
  • Use of count functions, COUNTA(), COUNTIF(), COUNTIFS() and SUMIF()
  • Basic statistical functions, Max and Average
  • Filtering, sorting and use of conditional formatting
  • Scatter diagrams

 

Day Three: Intermediate MS Excel Functions

  • Use of VLOOKUP() and HLOOKUP()
  • Date functions, YEAR(), MONTH(), DAY(), YEARFRAC()
  • Selecting appropriate charts
  • Introduction to Pivot tables

 

Day Four: Carrying out Statistical Analysis using MS Excel

  • Using MS Excel to calculate mean, mode and median
  • The difference between the various standard deviation and variance function in MS Excel
  • Using MS Excel to examine inter-dependency
  • Drawing histograms in MS Excel
  • Introduction to Data Analysis functions

 

Day Five: What if and Scenario Analysis Using MS Excel

  • Naming cells in MS Excel
  • Linking cells together to undertake scenario analysis
  • Introduction to solver
  • Advanced charting
  • Sharing MS Excel output with other office formats

 

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