This section illustrates the powerful features Excel has to offer to analyze data.
1 Sort: You can sort your Excel data on one column or multiple columns. You can sort in ascending or descending order.
Using these two languages, you will cover 99% of the data science and analytics problems you’ll have to deal with in the future. Note: I’ve already written an SQL for Data Analysis tutorial series. Go and check it out here: SQL for Data Analysis, episode #1! Now why is it worth learning Python for Data Science? It’s easy and fun.
2 Filter: Filter your Excel data if you only want to display records that meet certain criteria.
3 Conditonal Formatting: Conditional formatting in Excel enables you to highlight cells with a certain color, depending on the cell's value.
4 Charts: A simple Excel chart can say more than a sheet full of numbers. As you'll see, creating charts is very easy.
5 Pivot Tables: Pivot tables are one of Excel's most powerful features. A pivot table allows you to extract the significance from a large, detailed data set.
6 Tables: Tables allow you to analyze your data in Excel quickly and easily.
7 What-If Analysis: What-If Analysis in Excel allows you to try out different values (scenarios) for formulas.
8 Solver: Excel includes a tool called solver that uses techniques from the operations research to find optimal solutions for all kind of decision problems.
9 Analysis ToolPak: The Analysis ToolPak is an Excel add-in program that provides data analysis tools for financial, statistical and engineering data analysis.
Want to learn more about data analysis in Excel? You can find related examples and features on the right side of each chapterat the bottom of each chapter.
This section illustrates the powerful features Excel has to offer to analyze data.
1 Sort: You can sort your Excel data on one column or multiple columns. You can sort in ascending or descending order.
2 Filter: Filter your Excel data if you only want to display records that meet certain criteria.
3 Conditonal Formatting: Conditional formatting in Excel enables you to highlight cells with a certain color, depending on the cell's value.
4 Charts: A simple Excel chart can say more than a sheet full of numbers. As you'll see, creating charts is very easy.
5 Pivot Tables: Pivot tables are one of Excel's most powerful features. A pivot table allows you to extract the significance from a large, detailed data set.
6 Tables: Tables allow you to analyze your data in Excel quickly and easily.
7 What-If Analysis: What-If Analysis in Excel allows you to try out different values (scenarios) for formulas.
8 Solver: Excel includes a tool called solver that uses techniques from the operations research to find optimal solutions for all kind of decision problems.
9 Analysis ToolPak: The Analysis ToolPak is an Excel add-in program that provides data analysis tools for financial, statistical and engineering data analysis.
Want to learn more about data analysis in Excel? You can find related examples and features on the right side of each chapterat the bottom of each chapter.