Excel for Statistical Analysis

Details

This course will build on your current Excel skills by teaching to use Excel's powerful tools to format statistics. The course will also guide you in best practice presentation of those statistics and how to analyse them.

Delivery Methods

Leading Training is focusing on providing virtual training courses for the foreseeable future and will only consider in-person and classroom training on request, with a required minimum group size of six delegates. We remain committed to offering training that is fast, focused and effective.

Delivery Method	Duration	Price (excl. VAT)
Classroom	2 day	ZAR 5,500.00	Get a Quote
Live Virtual Training	2 day	ZAR 4,500.00	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

Any person currently using Excel at an advanced level and needs to use Excel tools to draw statistical analyses on data.

Pre-Requisites

Proficiency in Excel with evidence of experience in tools from Basic to Intermediate level. Complete our Excel Fundamentals to Intermediate Excel Course if not.

Course Outline / Curriculum

Introducing Excel Tables
- Simple statistics
- Sorting
- AutoFilter
- Custom AutoFilter
- Advanced Filtering

Cleaning Data
- Importing into Workbook
- Move, copy, resize and delete columns and/or rows and/or sheets
- Format cell contents
- Clear formatting and cell contents
- Find and Replace data
- Cleaning Data with Text Functions
- Conditional Formatting

Working with PivotTables
- Running the PivotTable Wizard
- Pivot Table Field Options (right click)
- Pivot Table Design and Options

Building PivotTable Formulas
- Adding Another Standard Calculation
- Creating Custom Calculations
- Using Calculated Fields and Items
- Reviewing and changing solve order (new sheet)
- Retrieving Data from a Pivot Table (new sheet)
- Arguments of the GETPIVOTDATA function

Working with PivotCharts
- Running the PivotChart Wizard
- Filter data
- Refresh data
- Group data

Customizing Charts
- Selecting a Chart Type
- Working with Chart Styles
- Changing Chart Layout
- Changing a Chart’s Location
- Formatting 3-D Charts

Ten Things You Ought to Know about Statistics
- Descriptive Statistics Are Straightforward
- Averages Aren’t So Simple Sometimes
- Standard Deviations Describe Dispersion
- An Observation Is an Observation
- A Sample Is a Subset of Values
- Inferential Statistics Are Cool but Complicated
- Probability Distribution Functions Aren’t Always Confusing
- Parameters Aren’t So Complicated
- Skewness and Kurtosis Describe a Probability Distribution’s Shape
- Confidence Intervals Seem Complicated at First, but Are Useful

Ten Tips for Presenting Table Results & Analyzing Data
- Work Hard to Import Data
- Design Information Systems to Produce Rich Data
- Don’t Forget about Third-Party Sources
- Just Add It
- Always Explore Descriptive Statistics
- Watch for Trends
- Slicing and Dicing: Cross-Tabulation
- Chart It, Baby
- Be Aware of Inferential Statistics

Using the Statistics Functions
- Counting Items in a Data Set
- Means, Modes, and Medians
- Finding Values, Ranks, and Percentiles
- Standard Deviations and Variances
- Normal Distributions

Using the Statistics Functions cont.
- z-standard deviations
- t-distributions
- f-distributions
- Binomial Distributions
- Chi-Square Distributions
- Regression Analysis
- Correlation
- Some Really Esoteric Probability Distributions

Descriptive Statistics
- Using the Descriptive Statistics Tool
- Creating a Histogram
- Ranking by Percentile
- Calculating Moving Averages
- Exponential Smoothing

Inferential Statistics
- Using the t-test Data Analysis Tool
- Performing z-test Calculations
- Creating a Scatter Plot
- Using the Regression Data Analysis Tool
- Using the Correlation Analysis Tool
- Using the Covariance Analysis Tool
- Using the ANOVA Data Analysis Tools
- Creating an f-test Analysis
- Using Fourier Analysis
- Box and Whiskers Chart
- Pareto Chart

Ten Tips for Visually Analyzing and Presenting Data
- Using the Right Chart Type
- Using Your Chart Message as the Chart Title
- Beware of Pie Charts
- Consider Using Pivot Charts for Small Data Sets
- Avoiding 3-D Charts
- Never Use 3-D Pie Charts
- Be Aware of the Phantom Data Markers
- Use Logarithmic Scaling
- Don’t Forget to Experiment
- Get Tufte

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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