Learners will be able to activate Excel’s analytical tools, compute descriptive statistics, visualize data relationships, run regression models, and interpret statistical outputs to make informed, data-driven decisions. This course equips participants with the practical skills needed to analyze real-world datasets using Excel’s built-in functions and the Analysis Toolpak.

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What you'll learn
Activate Excel analytical tools and compute descriptive statistics to summarize and explore datasets.
Visualize data relationships and run correlation and regression analyses using Excel and the Analysis Toolpak.
Interpret statistical outputs to support informed, data-driven business and research decisions.
Skills you'll gain
- Data Visualization Software
- Statistical Methods
- Statistics
- Exploratory Data Analysis
- Descriptive Statistics
- Analytics
- Regression Analysis
- Correlation Analysis
- Scatter Plots
- Data Visualization
- Pivot Tables And Charts
- Statistical Analysis
- Analysis
- Data Analysis
- Microsoft Excel
- Descriptive Analytics
- Trend Analysis
- Excel Formulas
Details to know

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December 2025
7 assignments
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There are 2 modules in this course
This module introduces learners to the foundational tools and techniques for performing descriptive statistics in Excel, including activating analytical add-ins, calculating summary measures using formulas, and exploring variable relationships through correlation. Learners gain essential skills for preparing, analyzing, and interpreting data using Excel’s built-in statistical capabilities.
What's included
7 videos4 assignments
This module equips learners with essential visualization and analytical techniques to uncover insights from data using Excel. Through scatter plots, trend analysis, regression modeling, and output interpretation, learners develop the ability to visualize relationships, build predictive models, and make meaningful data-driven conclusions.
What's included
5 videos3 assignments
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