Course Outline
Data Aggregation in Excel
- Statistical Functions
- Outlines
- Subtotals
- Pivot Tables
Data Relationship Analysis
- Normal Distribution
- Descriptive Statistics
- Linear Correlation
- Regression Analysis
- Covariance
Temporal Data Analysis
- Trends and Regression Lines
- Linear, Logarithmic, Polynomial, Power, Exponential, and Moving Average Smoothing
- Seasonal Fluctuation Analysis
Population Comparisons
- Confidence Intervals for the Mean
- Hypothesis Testing for Population Means
- Comparing Means of Two Populations
- ANOVA: Analysis of Variance
- Goodness-of-Fit Test for Discrete Random Variables
- Test of Independence: Contingency Tables
- Hypothesis Testing for Variances of Two Populations
Forecasting
- Extrapolation
Requirements
Participants are expected to have a foundational understanding of both Excel and Statistics.
Testimonials (3)
1. Clear theoretical explanation of concepts and alternatives to problem solving. 2. Practical examples where concepts are, and can be applied. 3. I learnt skills that I can use in my job, which will make some of my work easier 4. It will definitely bring some innovation into some of the reports I prepare for different Committees.
Sindiso Ndlovu - Export Credit insurance corporation
Course - Excel For Statistical Data Analysis
Steve was willing to answer every questions and worked diligently to address any individual concerns or technical issues as they arose in the class. He also did a great job of presenting the technical details in a way that made it less intimidating to even the least tech savvy people in the room. Personally, learning about some useful shortcuts in Excel that I didn't know about will certainly improve my overall workflow when using Excel in the future! I am so appreciative of those little details that I was exposed to during the two-day training.
Alan Gonzalez - Queens College, CUNY
Course - Excel For Statistical Data Analysis
The fact he had dif excel and data sheets with exercises for us to do.
