Introduction to Data Analysis using Excel
Introduction to Data Analysis using Excel
The ability to analyze data is a powerful skill that helps you make better decisions. Microsoft Excel is one of the top tools for data analysis and the built-in pivot tables are arguably the most popular analytic tool.
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Introduction to Data Analysis using Excel
In “Introduction to Data Analysis using Excel”, you will learn how to perform data analysis using Excel’s most popular features. You will learn how to create pivot tables from a range of rows and columns in Excel. You will see the power of Excel pivots in action and their ability to summarize data in flexible ways, enabling quick exploration of data and producing valuable insights from the accumulated data.
What you'll learn
- Create flexible data aggregations using pivot tables
- Represent data visually using pivot charts
- Calculate margins and other common ratios using calculation on pivot table
- Filter data using slicers in multiple pivot tables
- Create aggregate reports using formula based techniques
Introduction to Data Analysis using Excel Syllabus
Week 1
- Learn about Excel tables and what is their advantage over regular ranges.
- Use a table to filter, sort and see totals.
- See how calculations can be used to add columns to the existing data in Excel table.
Week 2
- Create our first pivot table.
- Use multiple pivot tables and pivot charts to create our first dashboard.
- Connect multiple slicers to the pivot tables.
Week 3
- Explore in more depth the full power of pivot tables.
- See how to filter the data shown in the pivot in many ways to achieve interesting subsets of the data.
- Use calculated fields on top of the pivot table to calculate profitability and find anomalies.
Week 4
- Use formulas to aggregate the data as an alternative to pivot tables for more flexible reporting layouts.
- See how a pivot can use more than one table and an introduction to the Excel data table that is described in detail in the more advanced course in these series.