Excel Data Analysis: PivotTables, Statistical Analysis, and Regression

By Progya Categories: Excel
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About Course

Learn how to perform advanced data analysis in Excel using PivotTables and statistical techniques to uncover meaningful insights and support data-driven decisions.

This course is designed to take you beyond basic Excel and into the world of analytical thinking and statistical interpretation. You will learn how to summarize large datasets using PivotTables, perform cross-tab analysis, and build interactive dashboards using PivotCharts and slicers.

In addition, you will gain a strong foundation in statistical analysis, including descriptive statistics, hypothesis testing, correlation, and regression. These are the exact techniques used in real-world data analysis, research, and business decision-making.

By the end of this course, you will be able to analyze data scientifically, interpret relationships, and present insights with confidence, making you highly valuable for roles such as data analyst, business analyst, financial analyst, and research analyst.

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What Will You Learn?

  • Summarize and analyze large datasets efficiently using PivotTables instead of manual calculations
  • Perform group-based data analysis to identify trends, patterns, and key insights within your data
  • Conduct cross-tab analysis to compare multiple variables and understand relationships between categories
  • Create interactive dashboards using PivotCharts and slicers, allowing dynamic data exploration
  • Transform complex datasets into clear, structured summaries that are easy to interpret and present
  • Apply descriptive statistics to understand the distribution, central tendency, and variability of data
  • Perform independent sample t-tests to compare differences between two separate groups
  • Conduct paired sample t-tests to analyze changes within the same group over time
  • Use analysis of variance to compare multiple groups and determine whether differences are statistically significant
  • Perform correlation analysis to measure the strength and direction of relationships between variables
  • Build and interpret multiple linear regression models to understand how multiple factors impact an outcome
  • Develop the ability to think analytically and make data-driven decisions instead of relying on assumptions
  • Gain practical skills used in research, finance, banking analytics, and business intelligence
  • Build confidence to handle advanced analytical tasks using Excel without needing specialized software

Course Content

PivotTables and Interactive Analysis

  • Datasets for excel practices
  • PivotTables for GROUP data analysis
    09:17
  • PivotTables for CROSSTAB analysis
    05:07
  • PivotCharts and Slicers for interactivity
    06:42

Statistical Analysis using Excel

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