Managing and Analyzing Data in Excel 2010
Offered By: LinkedIn Learning
Course Description
Overview
These Excel tutorials offer easy-to-use database commands and methods for maintaining an Excel database.
In this course, Dennis Taylor shares easy-to-use database commands and methods for maintaining an Excel database. The course covers sorting, adding subtotals, auto-filtering, and using the Excel Advanced Filter feature and specialized database functions.
In this course, Dennis Taylor shares easy-to-use database commands and methods for maintaining an Excel database. The course covers sorting, adding subtotals, auto-filtering, and using the Excel Advanced Filter feature and specialized database functions.
Syllabus
Introduction
- Welcome
- Using the exercise files
- Sorting from the Sort menu
- Sorting from the toolbar
- Multi-key sorting
- Sorting based on the order of data in custom lists
- Sorting by color font, color background, or icon
- Sorting columns
- Sorting data in random order
- Using single- and multiple-column text filtering
- Taking a look at special numeric filters
- Harnessing special date filters
- Creating a top-ten list by value or percent
- Creating custom filters
- Copying and sorting filtered lists
- Recognizing the limitations of standard filtering
- Setting up subtotals
- Creating multiple levels and copying subtotals
- Using the Advanced Filter for complex OR criteria
- Using the Advanced Filter for complex multiple-field criteria
- Using the Advanced Filter to create unique lists from repeating field data
- Using the Remove Duplicates command
- Using a specialized array formula to identify data that's been duplicated
- Using an array formula to count the number of unique items in a list
- Using SUMIF, COUNTIF, and related functions for quick data analysis
- Using database functions like DSUM, DAVERAGE, and DMAX
- Next steps
Taught by
Dennis Taylor
Related Courses
Social Network AnalysisUniversity of Michigan via Coursera Intro to Algorithms
Udacity Data Analysis
Johns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX