Data Modeling and Dashboards using Excel Power Tools

This course will introduce you to the most effective ways to build dashboards using Microsoft Excel's powerful data modeling and business intelligence tools: Power Query, Power Pivot and Power View. By the end of the program, you will be able to use these tools to make effective data visualizations for reports and presentations.

This course will provide you with a working knowledge of powerful Excel tools you can use to enhance visual representations of data. You should have a working knowledge of the data analysis and modeling tools that are covered in our Introduction to Data Modeling using Excel course.

Develop your skills in the following tools:

• Get and Transform – Import, clean, format and combine data from a variety of sources.
• Power Query – Take the time and energy out of updating reports.
• Power Pivot – Create data models that make seamless connections between a variety of data sources.
• Power BI, Power View and Power Map – Create interactive dashboards that communicate the story of your data.

You will need a version of Excel that is compatible with Power Pivot (Excel 2013/2016/2019 Standalone, Office 365, Office Professional 2016, etc.). You will also need to download a free copy of Power BI. This course is recorded in Excel 2019. It is strongly recommended that you use Excel 2019 for this course, as screens may vary slightly from version to version.

This course is for PC users (Windows operating system). Mac users can participate, but will need to be able to run Windows virtually to access tools not currently available with Excel for Mac (Power Pivot).

The program is delivered entirely online. To run the program, you are not required to download any additional software beyond what is noted above.

You can complete this program at your own pace, anywhere and anytime, as long as you have a computer with access to the internet and a web browser. On the program start date, you'll receive access and must complete the program within 10 weeks. 

The program consists of five modules that you must complete in sequence.  Each module contains:

• Instructor-led videos and resources
• Follow along practice exercises for active learning
• Application activity to reinforce the skills in each module

You will need to submit the application activity to unlock the next module. These activities will ensure you understand and are able to apply the skills covered in each module. These activities can be resubmitted as many times as necessary for mastery of the content.

Upon completion, your certificate will be mailed via United States Postal Service for participants in the continental U.S. All others will be sent via United Parcel Service.

Dianna Cichocki

Clinical Assistant Professor
Management Science and Systems Department

Education

MS, Oswego State University
BA, St. John Fisher College

Dianna Cichocki teaches "Statistical Decisions in Management" in the School of Management's undergraduate program, "Statistical Foundations in Analytics" in the Professional MBA program, and "Data Modeling" in the Executive MBA program. In addition to teaching, she has led workshops and presentations at the local, state and national levels on incorporating technology into statistics and best practices in data visualization.

Teaching

MGQ301 – Statistical Decisions in Management
MGQ606 – Statistical Foundations in Analytics
MGQ633 – Modeling Managerial Processes (Data Modeling)

Professional Affiliations

Decision Science Institute (DSI)
American Society for Quality (ASQ)

Awards and Recognition

Outstanding Faculty Member Award (2019)
Faculty Award for Alumni Engagement (2018)
Milton Plesur Excellence in Teaching Award (2018)
Undergraduate Mentor of the Year (2017)
Higher Education Award, NYSUT (2012)
National Institute for Staff and Organizational Development (2010)
Outstanding Classroom or Alternative Instruction (2010)

Selected Publications

Amo, L.C. & Cichocki, D.M. (2019). Disgruntled yet deft with IT: Employees who pose information security risk. Paper accepted at ACM SIGMIS annual meeting, June 20-22, 2019 in Nashville, Tennessee.

Amo, L.C., Giddens, L., & Cichocki, D.M. (2019). The role of employee gender in managerial perceptions of employee IS risk. Paper to be submitted to IFIP IS Working Group 8.11/11.13 annual meeting, October 4-5, 2019 in Bossier City, Louisiana.

Payment must be received by the program start date to be granted access and can be made by credit card at the time of registration or by ACH transfer.

A 75% discount is available to a limited number of Executive MBA alumni through the Alumni Advantage program. Availability is on a first-come, first-served basis. Contact the Office of Professional and Executive Development at mgt-ced@buffalo.edu.

Discounted seats are available to employees of the University at Buffalo on a space-available basis. Contact the Office of Professional and Executive Development at mgt-ced@buffalo.edu.

Program registrations are fully refundable until the day before the program starts.