Microsoft Excel 2016 Data Analysis, Part 1 of 4: Functions and Formulas
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Microsoft Excel 2016 Data Analysis, Part 1 of 4: Functions and Formulas

LearnNow Online
Updated Aug 22, 2018

Course description

Understanding when and how to use advanced functions and arrays is an important step in mastering data analyzation in Excel. Discover the importance of multiple functions including logical and conditional functions, financial and statistical functions, and DateTime functions, as well as examine Arrays, in this overview of advanced functions and formulas.

Each LearnNowOnline training course is made up of Modules (typically an hour in length). Within each module there are Topics (typically 15-30 minutes each) and Subtopics (typically 2-5 minutes each). There is a Post Exam for each Module that must be passed with a score of 70% or higher to successfully and fully complete the course.


Prerequisites

This course is designed for students with a base knowledge of Excel and want to learn higher-level skills to display data and perform functions. Students should know how to perform calculations, modify worksheets, format worksheets, print workbooks and manage workbooks.


Meet the expert

Sondra Nelson

Sondra Nelson is a Microsoft Certified Trainer and has been teaching Microsoft Office for over 15 years. She has teaching and consulting experience with high school students, college students and corporate employees.

Video Runtime

60 Minutes

Time to complete

110 Minutes

Course Outline

Functions and Formulas

Logical and Conditional Functions (27:35)

  • Introduction (00:24)
  • Logical Functions (00:55)
  • IF and AND Functions Demo (03:31)
  • Demo: IF and AND (04:43)
  • Demo: Using IF and AND Together (03:34)
  • Conditional Functions (01:00)
  • SUMIF Demo (02:30)
  • Demo: SUMIF and SUMIFS (05:50)
  • Logical Functions Continued (00:33)
  • ISBLANK and EXACT Demo (04:09)
  • Summary (00:21)

Financial and Statistical Functions (19:29)

  • Introduction (00:23)
  • Financial Functions (02:05)
  • Financial Functions Continued (01:47)
  • PMT and IPMT Demo (01:48)
  • Demo: PMT (03:19)
  • Demo: IPMT (03:06)
  • Statistical Functions (00:48)
  • AVERAGE, MEDIAN, and MODE.SNGL Functions Demo (01:34)
  • Demo: Mean, Median, and Mode (04:18)
  • Summary (00:16)

Date/Time and Arrays (13:11)

  • Introduction (00:29)
  • Date and Time Functions (01:13)
  • Date and Time Functions Continued (00:32)
  • Time Functions Demo (01:34)
  • Demo: Date and Time Functions (03:01)
  • Array Formulas (01:45)
  • Array Formulas Continued (00:38)
  • Array Demo (00:57)
  • Demo: Array Formulas (02:37)
  • Summary (00:21)