Coursera
Coursera Logo

University of Colorado Boulder - Everyday Excel, Part 2 

  • Offered byCoursera

Everyday Excel, Part 2
 at 
Coursera 
Overview

Duration

22 hours

Start from

Start Now

Total fee

Free

Mode of learning

Online

Difficulty level

Intermediate

Official Website

Explore Free Course External Link Icon

Credential

Certificate

Everyday Excel, Part 2
 at 
Coursera 
Highlights

  • Shareable Certificate Earn a Certificate upon completion
  • 100% online Start instantly and learn at your own schedule.
  • Course 2 of 3 in the Everyday Excel Specialization
  • Flexible deadlines Reset deadlines in accordance to your schedule.
  • Intermediate Level A knowledge of algebra will help for some of this course.
  • Approx. 22 hours to complete
  • English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Read more
Details Icon

Everyday Excel, Part 2
 at 
Coursera 
Course details

More about this course
  • "Everyday Excel, Part 2" is a continuation of the popular "Everyday Excel, Part 1". Building on concepts learned in the first course, you will continue to expand your knowledge of applications in Excel. This course is aimed at intermediate users, but even advanced users will pick up new skills and tools in Excel. By the end of this course, you will have the skills and tools to take on the project-based "Everyday Excel, Part 3 (Projects)".
  • This course is the second part of a three-part series and Specialization that focuses on teaching introductory through very advanced techniques and tools in Excel. In this course (Part 2), you will: 1) learn advanced data management techniques; 2) learn how to implement financial calculations in Excel; 3) use advanced tools in Excel (Data Tables, Goal Seek, and Solver) to perform and solve "what-if" analyses; 4) learn how to create mathematical predictive regression models using the Regression tool in Excel.
  • This course is meant to be fun and thought-provoking. I hope for you to at least several times in the course say to yourself, "Wow, I hadn't thought of that before!" Given the wide range in experience and abilities of learners, the goal of the course is to appeal to a wide audience. The course is organized into 5 Weeks (modules).
  • To pass each module, you'll need to pass a mastery quiz and complete a problem solving assignment. This course is unique in that the weekly assignments are completed in-application (i.e., on your own computer in Excel), providing you with valuable hands-on training.
Read more

Everyday Excel, Part 2
 at 
Coursera 
Curriculum

Advanced Data Management

How to Switch Sessions of the Course

Week 1 preview

(OPTIONAL): Review of VLOOKUP, MATCH, INDEX, and OFFSET functions

Two-way lookups in Excel

Two-way conditional lookups

Finding the location of a maximum

Conditional drop-down lists (data validation)

Conditional formatting based on formula

Example: Conditional formatting to identify errors

Comparing lists

Example: Who hasn't signed up?

Managing duplicates, Part 1

Managing duplicates, Part 2

Example: Expiry dates

Most frequent text

Assignment 1 preview and instructions

More about the OFFSET function

The Power of Microsoft Excel

The importance of a Course Certificate and the future of higher education

For Mac users

Week 1 Excel files

Quiz 1 solutions and explanations

Assignment 1

Week 2 Excel files

Unlock quiz for Week 1 files

Quiz 1

Assignment 1 submission

Excel for Financial Applications, Part 1

Week 2 preview

Customizing Excel for financial applications

Time value of money

Simple and compound interest, Part 1

Simple and compound interest, Part 2

Amortized loans

Using Excel to create an amortization schedule

Amortization schedule with extra payments

Effective vs. nominal interest rate

Savings accounts with payments and disbursements

Interest-only loans

Lines of credit

Assignment 2 preview and instructions

Quiz 2 instructions

Quiz 2 solutions and explanations

Assignment 2

Week 3 Excel files

Quiz 2

Assignment 2 submission

Excel for Financial Applications, Part 2

Week 3 preview

Depreciation

Common depreciation methods, Part 1

Common depreciation methods, Part 2

Cash flows and net present value, Part 1

Cash flows and net present value, Part 2

Comparing alternatives

Internal rate of return (IRR)

More about the OFFSET function

Assignment 3 preview and instructions

Quiz 3 instructions

Quiz 3 solutions and explanations

Assignment 3

Week 4 files

Quiz 3

Assignment 3 submission

Case Studies and "What-If" Analyses

Week 4 preview

Introduction to case studies

One-way Data Tables, Part 1

One-way Data Tables, Part 2

Two-way Data Tables

Example: Two-way Data Table

Goal Seek and Solver for targeting problems, Part 1

Goal Seek and Solver for targeting problems, Part 2

Solver for optimization problems

Using the Solver with constraints, Part 1

Using Solver with constraints, Part 2

Assignment 4 preview and instructions

Quiz 4 instructions

Quiz 4 solutions and explanations

Assignment 4

Week 5 Excel files

Quiz 4

Assignment 4 submission

Model Building in Excel

Week 5 preview

Trendlines, Part 1

Trendlines, Part 2

Linear interpolation

Model building, Part 1: Simple linear regression

Model building, Part 2: General linear regression

Model building, Part 3: Multilinear regression

(OPTIONAL) Why use adjusted R-squared and not R-squared?

Introduction to nonlinear regression (logisitic regression)

Assignment 5 preview and instructions

Quiz 5 instructions

Quiz 5 solutions and explanations

Assignment 5

Be on the lookout for Part 3!

Quiz 5

Assignment 5 submission

Everyday Excel, Part 2
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

    Other courses offered by Coursera

    – / –
    3 months
    Beginner
    – / –
    20 hours
    Beginner
    – / –
    2 months
    Beginner
    – / –
    3 months
    Beginner
    View Other 6715 CoursesRight Arrow Icon
    qna

    Everyday Excel, Part 2
     at 
    Coursera 

    Student Forum

    chatAnything you would want to ask experts?
    Write here...