Excel 2016: Managing and Analyzing Data

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Free Online Course: Excel 2016: Managing and Analyzing Data provided by LinkedIn Learning is a comprehensive online course, which lasts for 3-4 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Excel 2016: Managing and Analyzing Data is taught by Dennis Taylor.

Overview
  • Learn easy-to-use commands, features, and functions for managing and analyzing large amounts of data in Excel 2016.

Syllabus
  • Introduction

    • Welcome
    • Exercise files
    1. Data Preparation
    • Structure data for optimum usage
    • Converting lists to tables
    • Using formulas in tables
    2. Sorting Data
    • Sorting concepts and sort menu options
    • Sorting from menu icons
    • Multiple-key sorting
    • Sorting based on the order of data in custom lists
    • Sorting by cell color, font color, or cell icon
    • Sorting columns (sorting left-to-right)
    • Sorting data in random order
    3. Creating Automatic Subtotals in Sorted Lists
    • Setting up single and multiple-level subtotals
    • Expanding and collapsing with grouping and outlining symbols
    4. Filtering Data
    • Single and multiple-column filtering
    • Using text filters
    • Using date filters
    • Using numeric filters
    • Using the Top Ten (value or percent) option
    • Creating custom filters
    • Copying and printing filtered lists
    • Recognizing the limitations of standard filtering
    • Filtering interactively using slicers with tables
    5. Advanced Filter
    • Using Advanced Filter for complex "OR" criteria
    • Using Advanced Filter for specialized filters
    • Using Advanced Filter to create unique lists from repeating field data
    6. Eliminating Duplicate 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
    7. Data Analysis Tools
    • Using SUMIF, COUNTIF, and related functions for quick data analysis
    • Using database functions including DSUM, DAVERAGE, DMAX
    • Using the AGGREGATE function to bypass errors and hidden rows
    Conclusion
    • Next steps