Statistics Training Overview
Accelebrate's Solving Business Problems with Statistics training course teaches participants how to apply appropriate statistical procedures and models to answer business questions and then effectively communicate impact to stakeholders.
Location and Pricing
Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.
In addition, some courses are available as live, instructor-led training from one of our partners.
Objectives
Students will leave the course able to use Excel to build statistical models that answer questions such as:
- What's the relationship between a variable and an outcome?
- If I adjust X, what will be the impact on Y? Are there natural limits I should be aware of?
- What's coming next? Are we going up or down and by how much?
- Why are we going up or down? How impactful is each variable? (In other words, what should I focus on first?)
- Are there any unusual outliers? What caused those? Do I need to do something about this?
- How likely is any given idea or decision or campaign to be successful? (i.e., logistic regression)
- Did any given change or decision make a material business impact?
Prerequisites
Students have access to Microsoft Excel and are familiar with writing calculations and formulas within Excel.
Outline
Expand All | Collapse All
Introduction
Why Use Statistics?
Installing the Data Analysis Tool Pack add-in for Excel
Exploring and Visualizing Data
- Types of variables and how to visualize each
Descriptive Statistics
- Uses for specific measures and how to visualize
- Samples vs. populations
- Confidence Intervals
- Average, median, standard deviation, quartiles & percentiles
- Looking at the shape of the data and the impact of outliers
- Cautions and common pitfalls (e.g. Anscombe’s Quartet)
- Dealing with bad data and ensuring it’s reliable for good decisions
Overview of Probability
Method for Creating Predictive Models
How to Choose an Appropriate Model
Regression
- Correlation
- Linear Regression
- When to use it
- How to interpret meaningfully
- For nonlinear data
- Multivariate
Logistic Regression
ANOVA
- t-Test
- One-Way ANOVA
- Two-Way ANOVA
Chi-Square
Time Series & Forecasting
Conclusion
Training Materials
All students receive comprehensive courseware.
Software Requirements
- Microsoft Excel
- Internet access
- Related data and lab files that Accelebrate will provide
