Statistical Data Analysis Training with Excel
Introduction
Utilizing Microsoft Excel for statistical data analysis is vital. This course offers a comprehensive introduction to the basics, ranging from basic calculations to advanced Bayesian analysis using Excel. The instructor will begin by explaining fundamental concepts, such as the central limit theorem, before delving into visualizing data, relationships, and future outcomes using Excel's histograms, graphs, and charts. Additionally, the course covers hypothesis testing, modeling various data distributions, and calculating covariance and correlation between datasets. The final segment focuses on calculating Bayesian probabilities within Excel.
Course Objective
Understand the fundamental concepts and principles of statistical data analysis.
Utilize Microsoft Excel as a tool for statistical analysis.
Perform common calculations and statistical operations using Excel.
Visualize data, relationships, and future outcomes using histograms, graphs, and charts in Excel.
Test hypotheses and make inferences based on statistical analysis.
Model different data distributions and understand their implications.
Calculate covariance and correlation between datasets.
Apply Bayesian analysis techniques to estimate probabilities and make predictions.
Interpret and communicate statistical results effectively.
Apply the acquired knowledge and skills to real-world data analysis scenarios.
Target Participants
Data analysts using Excel for statistical data analysis, Financial analysts using Excel for market and time series analysis