Course Outline
Aggregating Data in Excel
- Statistical Functions
- Outlines
- Subtotals
- Pivot Tables
Data Relation Analysis
- Normal Distribution
- Descriptive Statistics
- Linear Correlation
- Regression Analysis
- Covariance
Analysing Data in Time
- Trends/Regression line
- Linear, Logarithmic, Polynomial, Power, Exponential, Moving Average Smoothing
- Seasonal fluctuations analysis
Comparing Populations
- Confidence Interval for the Mean
- Test of Hypothesis Concerning the Population Mean
- Difference Between Mean of Two Populations
- ANOVA: Analysis of Variances
- Goodness-of-Fit Test for Discrete Random Variables
- Test of Independence: Contingency Tables
- Test Hypothesis Concerning the Variance of Two Populations
Forecasting
- Extrapolation
Requirements
Participants should be familiar with the basics of Excel and Statistics.
Testimonials
Presentation of new tools that I didn't know before.
- Knauf Bełchatów Sp. z o.o.
The fact he had dif excel and data sheets with exercises for us to do.
Deepakie Singh Sodhi - Queens College, CUNY
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
The reminder of the world of statistics :)
Export Credit insurance corporation
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.