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Charlie Nuttelman

"Everyday Excel, Part 3 (Projects)" is a continuation of "Everyday Excel, Parts 1 and 2". It is a capstone, projects-based course in which you will apply what you've learned previously to more complex, somewhat open-ended projects (open-ended with respect to the fact that they can be solved in multiple ways).

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"Everyday Excel, Part 3 (Projects)" is a continuation of "Everyday Excel, Parts 1 and 2". It is a capstone, projects-based course in which you will apply what you've learned previously to more complex, somewhat open-ended projects (open-ended with respect to the fact that they can be solved in multiple ways).

Each learner must complete 3"warm-up" projects (chosen from 3), 3 intermediate projects (chosen from 6), and 3 main (more difficult) projects (chosen from 5). The projects have been created to span a wide range of interests and topic areas and are anticipated to appeal to diverse learner backgrounds.

It is hoped that this project-based courses will dramatically reinforce the application of Excel tools, techniques, and functions to real-world projects.

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What's inside

Syllabus

Introduction and General Course Information
This module contains introductory information regarding the course requirements, how to obtain a Course Certificate, and information for Mac users.
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WARM-UP PROJECTS (Choose Three)
For the Warm-Up Projects, you must select three of five projects to complete. If you are more math-inclined, you might appreciate the "Nearest Eighth of an Inch" and "Ladder Around the Corner" projects. If you are not so math-inclined, you will gravitate towards the "World Bank Lookup", "Dynamic Temperature Lookup", and the "Dynamic Amortization Schedule" projects.
INTERMEDIATE PROJECTS (Choose Three)
Now that you're warmed up, let's transition to some more challenging projects! There are six possible projects for you to choose from for the Intermediate Projects, and you must complete three of them. The Sensitivity Analysis and Historical Weather Lookup (Part A) projects are perhaps the easier projects of the bunch, but the Dynamic Data Cleaning is not far behind. The Friday the 13th project is interesting but possibly a tad bit more challenging. The Bakery Shopping List and Dinner Sign-Up projects are somewhere in between. Have fun!
MAIN PROJECTS (Choose Three)
Now for the heart of the course - the Main Projects! You'll implement many of the techniques and tools that you've learned in Parts 1 and 2 of "Everyday Excel". These projects are more involved than the intermediate projects. However, in many cases I provide significant hints and suggestions (mainly through screencasts). Therefore, I "guide" you through these projects. You'll be left with a proud, well-earned sense of accomplishment after having done these projects! There are 5 projects to choose from, and you need to complete 3 of them. Good luck!
For Honors!
Are you chomping at the bit to apply more of your vast Excel knowledge to some more challenging problems?! If so, the Honors Certificate is for you! For Honors distinction on your Course Certificate, complete both projects. The two projects are Francesca's French Bakery and the Top Hat Consolidator. Peruse the information below for project descriptions and requirements for these two projects. Far fewer hints and tips are provided for these projects, so it is up to you to utilize what you've learned in these courses to solve these open-ended problems!

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches hands-on skills with tools that are standard in industry
Projects offer experience with a range of business applications
Develops skills that are useful for personal growth and development
Taught by instructors who have extensive experience in the field
Projects are complex and open-ended, allowing for creativity and innovation
Taught by Charlie Nuttelman, who is an adjunct professor at Duke University and was formerly a data analyst and product manager at Google

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Reviews summary

High-quality excel projects

Learners say this course is a great opportunity to practice Excel skills on real-world projects. Challenging assignments in this course are engaging and fun, and students feel satisfied completing them. Students say earning an honor's certificate for completing these hands-on projects is worthwhile. Overall, students feel this course is well-received.
Excellent instructor who is knowledgeable and engaging
"Great professor, very rich courses, thanks you"
"I really enjoyed the course. The fact that you had to develop solutions with limited guidance was challenging at times and has helped a lot to make excel concepts more permanent and deeply understood. Good job Charlie!"
"A great conclusion to the trilogy. Charlie is a wonderful teacher and does a great job putting it all together."
Course is challenging but worthwhile for those looking to improve their Excel skills
"Very Challenging and satisfying at the same time. The explanations and techniques were concise and straight to the point."
"What can I say, incredible teacher! His teaching style is organized, thorough, engaging, and extremely challenging, to say the least."
"I enjoyed this course. Would have been nice to have more interaction wiht the instructor as many of the projects needed further clairification to complete. "
Course contains high-quality, challenging projects that mimic real-life work scenarios
"I found the excercises to be challenging, I enjoyed my way through the course and I put in practice several things I had learned in the previous courses, even more, I learned new things too!"
"This is the most exciting part of the course especially if you have completed the first two parts. The assignments are really interesting and allows a learner to use all their skills learned so far."
"The projects are very interactive and hands on, with just enough guidance to keep one on track!"
Office 365 is recommended but not required to complete the course
"Office 365 is required............."
"Very good course overall. I have to say that Office 365 is actually not required to finish the course."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Everyday Excel, Part 3 (Projects) with these activities:
Excel Resource Compilation
Organize your notes, assignments, quizzes, and exams to enhance your understanding of the course material.
Show steps
  • Gather all your course materials
  • Organize the materials by topic
  • Create a system for reviewing the materials regularly
Review Intermediate Excel
Brush up on your Intermediate Excel skills from Part 2 to ensure you are ready for the projects.
Show steps
  • Review the syllabus for Part 2 of Everyday Excel
  • Complete the warm-up and intermediate projects from Part 2
Excel Practice Problems
Complete practice problems to improve your proficiency in using Excel
Show steps
  • Find practice problems online or in textbooks
  • Solve the problems using Excel
  • Check your answers and identify areas for improvement
Five other activities
Expand to see all activities and additional details
Show all eight activities
Excel Project Tutorials
Seek out and complete tutorials on more advanced Excel topics to solidify your understanding
Show steps
  • Search for tutorials on specific Excel functions or techniques
  • Follow along with the tutorials and complete the exercises
  • Apply the techniques you learned to your own projects
Excel Study Group
Join or create a study group with other learners to discuss course concepts and work on projects together
Show steps
  • Find or create a study group
  • Meet regularly to discuss course material
  • Work together on projects and assignments
  • Provide feedback and support to each other
Excel Dashboard
Create an Excel dashboard to visualize and analyze data relevant to your interests or field of study.
Show steps
  • Identify the data you want to visualize
  • Design the layout of your dashboard
  • Create charts and graphs to represent the data
  • Add interactivity to your dashboard (optional)
Excel Blog or Video Series
Create a blog or video series to share your knowledge of Excel with others.
Show steps
  • Choose a topic or niche for your blog or video series
  • Create high-quality content that provides value to your audience
  • Promote your blog or video series to reach a wider audience
Excel Competition
Participate in an Excel competition to test your skills and learn from others.
Show steps
  • Find an Excel competition that aligns with your interests
  • Prepare for the competition by practicing your skills and studying relevant materials
  • Compete in the competition and give it your best effort
  • Reflect on your performance and identify areas for improvement
  • Network with other participants and learn from their experiences

Career center

Learners who complete Everyday Excel, Part 3 (Projects) will develop knowledge and skills that may be useful to these careers:
Operations Analyst
Operations Analysts use Excel for data analysis, process optimization, and performance management. The "Everyday Excel, Part 3 (Projects)" course provides a comprehensive overview of Excel functions and tools that are specifically relevant to operations analysis. Learners will gain hands-on experience in data analysis, process mapping, and scenario planning, which are key skills for Operations Analysts.
Risk Analyst
Risk Analysts use Excel for data analysis, risk assessment, and mitigation planning. The "Everyday Excel, Part 3 (Projects)" course provides a comprehensive overview of Excel functions and tools that are specifically relevant to risk analysis. Learners will gain hands-on experience in data analysis, scenario planning, and risk reporting, which are key skills for Risk Analysts.
Financial Planner
Financial Planners use Excel for financial planning, investment analysis, and retirement planning. The "Everyday Excel, Part 3 (Projects)" course provides a comprehensive overview of Excel functions and tools that are specifically relevant to financial planning. Learners will gain hands-on experience in financial modeling, scenario planning, and portfolio optimization, which are key skills for Financial Planners.
Actuary
Actuaries use Excel for financial modeling, risk analysis, and insurance pricing. The "Everyday Excel, Part 3 (Projects)" course provides a comprehensive overview of Excel functions and tools that are specifically relevant to actuarial science. Learners will gain hands-on experience in financial modeling, data analysis, and scenario planning, which are key skills for Actuaries.
Financial Analyst
Financial Analysts use Excel extensively for financial modeling, data analysis, and forecasting. The "Everyday Excel, Part 3 (Projects)" course provides a comprehensive overview of Excel functions and tools that are specifically relevant to financial analysis. Learners will gain hands-on experience in building financial models, performing sensitivity analysis, and creating dynamic dashboards, which are key skills for Financial Analysts.
Business Analyst
Business Analysts use Excel for data analysis, process mapping, and project management. The "Everyday Excel, Part 3 (Projects)" course offers a practical approach to using Excel for these tasks. Learners will develop skills in data cleaning, data visualization, and project planning, which are essential for success in this role.
Business Intelligence Analyst
Business Intelligence Analysts use Excel for data analysis, data visualization, and reporting. The "Everyday Excel, Part 3 (Projects)" course provides a solid foundation in Excel, a tool that is widely used by Business Intelligence Analysts. Through hands-on projects, learners will develop proficiency in data manipulation, visualization, and analysis techniques, which are essential for success in this role.
Auditor
Auditors use Excel for data analysis, risk assessment, and financial reporting. The "Everyday Excel, Part 3 (Projects)" course provides a solid foundation in Excel, a tool that is widely used by Auditors. Through hands-on projects, learners will develop proficiency in data manipulation, visualization, and analysis techniques, which are essential for success in this role.
Data Scientist
Data Scientists use Excel for data cleaning, data analysis, and machine learning. The "Everyday Excel, Part 3 (Projects)" course provides a solid foundation in Excel, a tool that is widely used by Data Scientists. Through hands-on projects, learners will develop proficiency in data manipulation, visualization, and analysis techniques, which are essential for success in this role.
Statistician
Statisticians use Excel for data analysis, statistical modeling, and hypothesis testing. The "Everyday Excel, Part 3 (Projects)" course provides a solid foundation in Excel, a tool that is widely used by Statisticians. Through hands-on projects, learners will develop proficiency in data manipulation, visualization, and analysis techniques, which are essential for success in this role.
Data Analyst
Data Analysts use their skills in data collection, analysis, and interpretation to solve complex problems and make informed decisions. The "Everyday Excel, Part 3 (Projects)" course from the University of Colorado Boulder provides a solid foundation in Excel, a tool that is widely used by Data Analysts. Through hands-on projects, learners will develop proficiency in data manipulation, visualization, and analysis techniques, which are essential for success in this role.
Data Engineer
Data Engineers use Excel for data extraction, transformation, and loading. The "Everyday Excel, Part 3 (Projects)" course provides a solid foundation in Excel, a tool that is widely used by Data Engineers. Through hands-on projects, learners will develop proficiency in data manipulation, data cleaning, and data integration techniques, which are essential for success in this role.
Quantitative Analyst
Quantitative Analysts use Excel for financial modeling, data analysis, and risk management. The "Everyday Excel, Part 3 (Projects)" course provides a solid foundation in Excel, a tool that is widely used by Quantitative Analysts. Through hands-on projects, learners will develop proficiency in data manipulation, visualization, and analysis techniques, which are essential for success in this role.
Management Consultant
Management Consultants use Excel for data analysis, financial modeling, and project management. The "Everyday Excel, Part 3 (Projects)" course provides a solid foundation in Excel, a tool that is widely used by Management Consultants. Through hands-on projects, learners will develop proficiency in data manipulation, visualization, and analysis techniques, which are essential for success in this role.
Project Manager
Project Managers use Excel for project planning, budgeting, and tracking. The "Everyday Excel, Part 3 (Projects)" course provides a practical approach to using Excel for these tasks. Learners will develop skills in project scheduling, resource allocation, and risk management, which are essential for success in this role.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Everyday Excel, Part 3 (Projects).
A practical guide to data analysis using Excel, covering data cleaning, data manipulation, statistical analysis, and data visualization. It provides step-by-step instructions and real-world examples.
An introduction to Excel VBA programming, covering the basics of VBA, macros, and user-defined functions. It is suitable for beginners who want to automate tasks and extend the functionality of Excel.
Covers various types of charts and graphs in Excel, including bar charts, line charts, pie charts, and scatter plots. It provides detailed instructions on creating, customizing, and interpreting charts and graphs to effectively communicate data.
A beginner-friendly guide to Microsoft Excel, covering the basics of creating, editing, and formatting spreadsheets, as well as performing basic calculations and data analysis. It is suitable for those who are new to Excel or need a refresher.
A comprehensive guide to using pivot tables and charts in Excel for data summarization, analysis, and visualization. It covers advanced techniques and best practices for creating effective and interactive pivot tables and charts.
Provides an introduction to Excel Power Query and Power BI for data transformation, data cleaning, and data visualization. It covers the basics of data modeling, data cleansing, and creating interactive reports and dashboards.
Covers advanced Excel techniques for data science, including data wrangling, data analysis, machine learning, and data visualization. It is suitable for those who want to use Excel for data science projects and build predictive models.
Covers advanced Excel techniques for data modeling and analysis using PowerPivot and DAX. It provides a comprehensive guide to creating data models, writing DAX formulas, and building interactive reports and dashboards.

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