30-minute webinar on Excel advanced data cleaning project on Monday, October 3, 1 – 1:30 pm ET

Are you interested in data cleaning and visualization? Want a ready-made project for your class that uses Excel for data cleaning and visualization? We have developed a case that is suitable for intermediate accounting, data analytics, cost accounting, or other accounting major classes that uses Excel – and we provide step-by-step tutorial videos, making it easy to use in your classes.

Join us on Monday, October 3, 1 – 1:30 pm Eastern, for a webinar on “ETL project using advanced Excel featuring KAT Concession Supply.” We will be covering how to request the instructor materials, what the project covers, how you can use it in your own classes, and more!

We will also answer any questions you have. The webinar is from 1 – 1:30 pm Eastern – you can register for this webinar at this link.

To see all the webinars we have scheduled, see our website webinar page at this link.

New! Intermediate Data Cleaning (ETL) & Analytics Project for Excel: KAT Concession Supply

This project is one of ten projects in a set that focus on data cleaning and analytics. Read on for how to request this intermediate level project for introductory accounting that uses Excel for data cleaning and analytics.

A key step in data analytics is getting the data ready for use – in fact, this step can take more time and effort than the analysis of the data. This brand-new Excel project focuses on the data cleaning aspect of data analytics and is appropriate for introductory accounting – but could be adapted to any accounting class.

KAT Concession Supply is a fictitious company that supplies food, paper products, and other items to fairs, amusement parks, and other organizations. Information in the KAT Concession Supply data sets includes information about its sales over a three-year period. The data from KAT Concession Supply has errors and irregularities in it and it must be cleaned so that an interactive dashboard about its operations can be prepared. This Excel project is classified as intermediate because it takes about an hour to complete the entire project – the Excel is still doable for the introductory accounting student.

Complete step-by-step tutorial videos and an instructor guide are available to make project adoption easy and painless in accounting courses. The project is available at no cost for instructors to use in their classes.

Intermediate project for Excel

The data cleaning and other tasks in the Intermediate version of the Excel data cleaning project are:

  • Widen all columns to automatically fit the contents.
  • Find and remove duplicate records.
  • Remove spaces and nonprinting characters.
  • Convert dates stored as text to date format.
  • Find and replace text.
  • Split one column into two.
  • Change the case of cells.
  • Combine cells.
  • Convert text into numbers or currency.
  • Format numbers.
  • Correct spelling.
  • Create a three-visualization dashboard.

Tutorial videos/PDFs

Complete step-by-step instructions are provided for this project. Students have the choice of viewing the tutorial videos or downloading a pdf file of the annotated slides. The tutorials for this project have been split into several shorter parts. The project can be completed in shorter steps, rather than the entire project in one sitting.

***You can obtain the Instructor Guide for the KAT Concession Supply intermediate data cleaning project for Excel by requesting it at this link.***

The instructor guide contains the data set, solutions, and other information. The instructor guide also contains all the KATCS data cleaning projects released to date.

Give us about 5 – 8 days to respond – but check your Spam folder for the email if you do not see our email within that approximate time frame. (You may want to add drwendytietz@gmail.com to your Safe Senders list. Please don’t email to that email address – that is an email address used solely for distributing the project resources we have developed. Thank you!)

30-minute webinar on Alteryx (and Power BI) intermediate data cleaning project for intro accounting this Thursday, August 18, 11 am Eastern

Are you interested in data cleaning and visualization? Have you heard about Alteryx and/or Power BI and want to learn more? Want a ready-made project for your class that uses Alteryx and Power BI for data cleaning and visualization? We have developed a case that is suitable for introductory accounting that uses Alteryx and Power BI – and we provide step-by-step tutorial videos, making it easy to use in your classes.

Join us on Thursday, August 18, from 11 – 11:30 am Eastern, for a webinar on “ETL for introductory accounting: Alteryx and Power BI intermediate project (KAT Concession Supply).” We will be covering how to request the instructor materials, what the project covers, how you can use it in your own classes, and more!

We will also answer any questions you have. The webinar is from 11 – 11:30 am Eastern – you can register for this webinar at this link.

To see all the webinars we have scheduled, see our website webinar page at this link.

30-minute webinar on Tableau and Tableau Prep beginning data cleaning project this Monday, August 9, 2 pm Eastern

Are you interested in data cleaning and visualization? Have you heard about Tableau and/or Tableau Prep and want to learn more? Want a ready-made project for your class that uses Tableau and Tableau Prep for data cleaning and visualization? We have developed a case that is suitable for introductory accounting that uses Tableau and Tableau Prep – and we provide step-by-step tutorial videos, making it easy to use in your classes.

Join us on Monday, August 9, from 2 – 2:30 pm Eastern, for a webinar on “ETL for introductory accounting: Tableau/Tableau Prep beginner project (KAT Concession Supply).” We will be covering how to request the instructor materials, what the project covers, how you can use it in your own classes, and more!

We will also answer any questions you have. The webinar is from 2 – 2:30 pm Eastern – you can register for this webinar at this link.

To see all the webinars we have scheduled, see our website webinar page at this link.

New! Tableau Prep (ETL) Project: KAT Concession Supply

Screenshot
Request project at this link

Today we are releasing the data cleaning project for Tableau Prep. This is the fourth of ten projects that focus on data cleaning and analytics. Tableau Prep is a nice option to have available for your students because it runs on both a Mac and Windows operating system.  Keep reading to learn how to request this first beginner level project that uses Tableau Prep for data cleaning and Tableau for data analytics.

A key step in data analytics is getting the data ready for use – in fact, this step can take more time and effort than the analysis of the data. This brand-new Tableau Prep project focuses on the data cleaning aspect of data analytics and is appropriate for introductory accounting – but could be adapted to any accounting class. This Google Sheets case is designed to guide students through data cleaning and data analysis with step-by-step tutorial videos.

KAT Concession Supply is a fictitious company that supplies food, paper products, and other items to fairs, amusement parks, and other organizations. Information in the KAT Concession Supply data sets includes information about its sales over a three-year period. The data from KAT Concession Supply has errors and irregularities in it and it must be cleaned so that an interactive dashboard about its operations can be prepared. This Tableau Prep project is classified as beginner because it takes less than an hour to complete the entire project and the steps are pretty basic.

Complete step-by-step tutorial videos and an instructor guide are available to make project adoption easy and painless in accounting courses. The project is available at no cost for instructors to use in their classes.

Beginner project for Tableau Prep

The ETL and other tasks in the beginner version of the Tableau Prep data cleaning project are:

  1. Input and view the data.
  2. Identify and remove duplicate records.
  3. Remove unwanted spaces and characters from fields.
  4. Convert dates stored as text to fields formatted as dates.
  5. Find and replace text.
  6. Split one field into two fields.
  7. Remove empty columns and rename columns
  8. Create and output file.
  9. Correct spelling errors in the saved output file.
  10. Create a two-visualization interactive dashboard.

Tutorial videos/PDFs

Complete step-by-step instructions are provided for this project. Students have the choice of viewing the tutorial videos or downloading a pdf file of the annotated slides. The tutorials for this project have been split into two parts:

  1. Part 1: Data cleaning tutorial (video | pdf)
  2. Part 2: Dashboard tutorial (video | pdf)

***You can obtain the Instructor Guide for the KAT Concession Supply beginning data cleaning project for Google Sheets by requesting it at this link.*** The instructor guide contains the data set, solutions, and other information.

Give us about 5 – 8 days to respond – but check your Spam folder for the email if you do not see our email within that approximate time frame. (You may want to add drwendytietz@gmail.com to your Safe Senders list. Please don’t email to that email address – that is an email address used solely for distributing the project resources we have developed. Thank you!)

News flash: This data cleaning project is the fourth project in a set of ten data cleaning and visualization projects developed by Tracie Miller-Nobles, Wendy Tietz, and me. We will be releasing new projects approximately twice a month for the remainder of 2022. These projects will be available in three levels: Beginner (five data cleaning techniques plus two-visualization dashboard); Intermediate (beginner steps with seven additional data cleaning techniques plus three-visualization dashboard); and Advanced (intermediate steps with additional data cleaning techniques plus four-visualization dashboard.) In addition, the projects will be available in four software tool combinations: Excel, Google Sheets, Tableau Prep combined with Tableau, and Alteryx combined with Power BI.

A financial statement analysis mini-dashboard for a quick data analytics exercise

dashboard image
Open mini-dashboard at this link

Looking for a quick data analytics exercise for financial statement analysis in an introductory accounting class? You can give your students the link for this financial statement analysis dashboard and then ask a series of questions. There is no software for students to install; the dashboard is hosted on Tableau Public and can be accessed by anyone with the link to the mini-dashboard. There is also a quick video about using mini-dashboards in Tableau Public – that mini-dashboard intro video is available at this link.

To get you started on the kinds of questions you can ask with this financial statement analysis mini-dashboard, here are some ideas:

  1. What is the current ratio for <insert company name here> for <insert year here>?
  2. What is the quick ratio for <insert company name here> for <insert year here>?
  3. What is the debt ratio for <insert company name here> for <insert year here>?
  4. What is the times-interest-earned ratio for <insert company name here> for <insert year here>?
  5. What is your overall assessment of the financial condition of <insert company name here> based on the ratios given here?

We have made several of these mini-dashboards and have found that they are a quick and easy way to insert some data analysis into an introductory accounting course. More of these mini-dashboards are coming soon. We hope you find them useful.

Wendy

New! Google Sheets Data Cleaning project: KAT Concession Supply

Scheenshot
Request project at this link

The introductory accounting ETL projects continue…today we are releasing the data cleaning project for Google Sheets. Google Sheets is a nice option to have available in case your student(s) only have access to a Chromebook; this project will run entirely on a Chromebook.

A key step in data analytics is getting the data ready for use – in fact, this step can take more time and effort than the analysis of the data. This brand-new Google Sheets project focuses on the data cleaning aspect of data analytics and is appropriate for introductory accounting – but could be adapted to any accounting class. This Google Sheets case is designed to guide students through data cleaning and data analysis with step-by-step tutorial videos.

KAT Concession Supply is a fictitious company that supplies food, paper products, and other items to fairs, amusement parks, and other organizations. Information in the KAT Concession Supply data sets includes information about its sales over a three-year period. The data from KAT Concession Supply has errors and irregularities in it and it must be cleaned so that an interactive dashboard about its operations can be prepared. This Google Sheets project is classified as beginner because it takes less than an hour to complete the entire project and the steps are pretty basic.

Complete step-by-step tutorial videos and an instructor guide are available to make project adoption easy and painless in accounting courses. The project is available at no cost for instructors to use in their classes.

Beginner project for Google Sheets

The ETL and other tasks in the beginner version of the Google Sheets data cleaning project are:

  1. Widen all columns to automatically fit the contents
  2. Find and remove duplicate records
  3. Remove unwanted characters such as numbers, spaces, and nonprintable characters from fields
  4. Find and replace text with replacement text
  5. Change the case of a text field to uppercase or lowercase
  6. Format numbers
  7. Create a two-visualization interactive dashboard

Tutorial videos/PDFs

Complete step-by-step instructions are provided for this project. Students have the choice of viewing the tutorial videos or downloading a pdf file of the annotated slides. The tutorials for this project have been split into two parts:

  1. Part 1: Data cleaning tutorial (video | pdf)
  2. Part 2: Dashboard tutorial (video | pdf)

***You can obtain the Instructor Guide for the KAT Concession Supply beginning data cleaning project for Google Sheets by requesting it at this link.*** The instructor guide contains the data set, solutions, and other information.

Give us about 5 – 8 days to respond – but check your Spam folder for the email if you do not see our email within that approximate time frame. (You may want to add drwendytietz@gmail.com to your Safe Senders list. Please don’t email to that email address – that is an email address used solely for distributing the project resources we have developed. Thank you!)

News flash: This data cleaning project is the third project in a set of ten data cleaning and visualization projects developed by Tracie Miller-Nobles, Jennifer Cainas, and me. We will be releasing new projects approximately twice a month for the remainder of 2022. These projects will be available in three levels: Beginner (five data cleaning techniques plus two-visualization dashboard); Intermediate (beginner steps with seven additional data cleaning techniques plus three-visualization dashboard); and Advanced (intermediate steps with additional data cleaning techniques plus four-visualization dashboard.) In addition, the projects will be available in four software tool combinations: Excel, Google Sheets, Tableau Prep combined with Tableau, and Alteryx combined with Power BI.

New! Beginning Data Cleaning (ETL) & Analytics Project for Alteryx: KAT Concession Supply

This is the second of ten projects in a set that focus on data cleaning and analytics! Read on for how to request this first beginning level project that uses Alteryx for data cleaning and analytics.

Image of opening slide of Alteryx Beginner project.

A key step in data analytics is getting the data ready for use – in fact, this step can take more time and effort than the analysis of the data. This brand-new Alteryx project focuses on the data cleaning aspect of data analytics and is appropriate for introductory accounting – but could be adapted to any accounting class.

KAT Concession Supply is a fictitious company that supplies food, paper products, and other items to fairs, amusement parks, and other organizations. Information in the KAT Concession Supply data sets includes information about its sales over a three-year period. The data from KAT Concession Supply has errors and irregularities in it and it must be cleaned so that an interactive dashboard about its operations can be prepared. This Alteryx project is classified as beginner because it takes less than an hour to complete the entire project and the Alteryx steps are pretty basic.

Complete step-by-step tutorial videos and an instructor guide are available to make project adoption easy and painless in accounting courses. The project is available at no cost for instructors to use in their classes.

Beginner project for Alteryx

The data cleaning and other tasks in the beginner version of the Alteryx data cleaning project are:

  1. Input and view data
  2. Identify and remove duplicate records
  3. Remove unwanted characters such as spaces and nonprintable characters from fields
  4. Convert dates stored as text to fields formatted as dates
  5. Find and replace text with replacement text
  6. Split one field into two fields
  7. Remove empty columns and rename columns
  8. Save new file to Excel
  9. Correct spelling errors in Excel
  10. Create a two-visualization interactive dashboard

Tutorial videos/PDFs

Complete step-by-step instructions are provided for this project. Students have the choice of viewing the tutorial videos or downloading a pdf file of the annotated slides. The tutorials for this project have been split into two parts. You can view the tutorial videos here as a preview of this project:

  1. Part 1: Data cleaning tutorial (video | pdf)
  2. Part 2: Dashboard tutorial (video | pdf)

***You can obtain the Instructor Guide for the KAT Concession Supply beginning data cleaning project for Excel and Alteryx by requesting it at this link.*** The instructor guide contains the data set, solutions, and other information.

Give us about 5 – 8 days to respond – but check your Spam folder for the email if you do not see our email within that approximate time frame. (You may want to add drwendytietz@gmail.com to your Safe Senders list. Please don’t email to that email address – that is an email address used solely for distributing the project resources we have developed. Thank you!)

News flash: This data cleaning project is the second project in a set of ten data cleaning and visualization projects developed by Wendy Tietz, Jennifer Cainas, and me. We will be releasing new projects approximately twice a month for the remainder of 2022. These projects will be available in three levels: Beginner (five data cleaning techniques plus two-visualization dashboard); Intermediate (beginner steps with seven additional data cleaning techniques plus three-visualization dashboard); and Advanced (intermediate steps with additional data cleaning techniques plus four-visualization dashboard.) In addition, the projects will be available in four software tool combinations: Excel, Google Sheets, Tableau Prep combined with Tableau, and Alteryx combined with Power BI.

A job cost mini-dashboard for a quick data analytics exercise

Looking for a quick data analytics exercise for introductory managerial accounting? You can give your students the link for this job cost analysis dashboard and then ask a series of questions. There is no software for students to install; the dashboard is hosted on Tableau Public and can be accessed by anyone with the link to the mini-dashboard. We also have a quick video about using mini-dashboards in Tableau Public – that mini-dashboard intro video is available at this link.

To get you started on the kinds of questions you can ask with this job cost mini-dashboard, here are some ideas:

  1. What is the gross profit generated by the <insert product type here> product group in all plants?
  2. What is the total sales revenue generated by <insert product ID here> in the <insert plant location here> plant?
  3. How many <insert product ID here> models were sold by the <insert plant location here> location?
  4. What is the gross profit of the <insert product type here> product group in the <insert plant location here> plant?

Anyways, we have made several of these mini-dashboards and have found that they are a quick and easy way to insert some data analysis into an introductory accounting course. We will be sharing some of these mini-dashboards from time to time. We hope you find them useful.

Wendy

New! Beginning Data Cleaning (ETL) & Analytics Project for Excel: KAT Concession Supply

We are super excited to share the first of ten projects in a set that focus on data cleaning and analytics! Read on for how to request this first beginning level project that uses Excel for data cleaning and analytics.

A key step in data analytics is getting the data ready for use – in fact, this step can take more time and effort than the analysis of the data. This brand-new Excel project focuses on the data cleaning aspect of data analytics and is appropriate for introductory accounting – but could be adapted to any accounting class.

KAT Concession Supply is a fictitious company that supplies food, paper products, and other items to fairs, amusement parks, and other organizations. Information in the KAT Concession Supply data sets includes information about its sales over a three-year period. The data from KAT Concession Supply has errors and irregularities in it and it must be cleaned so that an interactive dashboard about its operations can be prepared. This Excel project is classified as beginner because it takes less than an hour to complete the entire project and the Excel steps are pretty basic.

Complete step-by-step tutorial videos and an instructor guide are available to make project adoption easy and painless in accounting courses. The project is available at no cost for instructors to use in their classes.

Beginner project for Excel

The data cleaning and other tasks in the beginner version of the Excel data cleaning project are:

  1. Widen all columns to automatically fit the contents
  2. Find and remove duplicate records
  3. Remove unwanted characters such as numbers, spaces, and nonprintable characters from fields
  4. Find and replace text with replacement text
  5. Change the case of a text field to uppercase or lowercase
  6. Format numbers
  7. Create a two-visualization interactive dashboard

Tutorial videos/PDFs

Complete step-by-step instructions are provided for this project. Students have the choice of viewing the tutorial videos or downloading a pdf file of the annotated slides. The tutorials for this project have been split into two parts. You can view the tutorial videos here as a preview of this project:

  1. Part 1: Data cleaning tutorial (video | pdf)
  2. Part 2: Dashboard tutorial (video | pdf)

***You can obtain the Instructor Guide for the KAT Concession Supply beginning data cleaning project for Excel by requesting it at this link.*** The instructor guide contains the data set, solutions, and other information.

Give us about 5 – 8 days to respond – but check your Spam folder for the email if you do not see our email within that approximate time frame. (You may want to add drwendytietz@gmail.com to your Safe Senders list. Please don’t email to that email address – that is an email address used solely for distributing the project resources we have developed. Thank you!)

News flash: This data cleaning project is the first project in a set of ten data cleaning and visualization projects developed by Tracie Miller-Nobles, Jennifer Cainas, and me. We will be releasing new projects approximately twice a month for the remainder of 2022. These projects will be available in three levels: Beginner (five data cleaning techniques plus two-visualization dashboard); Intermediate (beginner steps with seven additional data cleaning techniques plus three-visualization dashboard); and Advanced (intermediate steps with additional data cleaning techniques plus four-visualization dashboard.) In addition, the projects will be available in four software tool combinations: Excel, Google Sheets, Tableau Prep combined with Tableau, and Alteryx combined with Power BI.