Alteryx SparkED Faculty Advisory Committee

Course(s) with Alteryx:

Our curriculum includes 6 dedicated data science courses that incorporate applied learning labs.

The students start with a 3-course foundational sequence (DS 1, 2, 3) that introduces the data lifecycle phases, as well as a variety of data formats and tools used by professionals. The second course focuses on the Data Preparation phase – we use the educational materials provided by Alteryx extensively in this course, and our students are required to achieve their Micro Designer Cert and encouraged to complete the Core Certification (which all have done who completed the course to date). The third course is focused on data analysis.

Additionally, our students complete course work in Data Ethics (first semester), Machine Learning, Data Visualization and Presentation and a Capstone project course.

View Professor Anita Wright’s Alteryx Community Profile here.

Course(s) with Alteryx:

Machine Learning and Predictive Analytics – part of our MSc in Business Analytics program.

This is how I use Alteryx on this course:

• Cover core aspects of Alteryx aiming to assist students gain their Alteryx core certificate: Data blending, data parsing, data preparation and so on. For this I use the excellent materials provided by SparkED team.
• Explore regression and classification problems getting students familiar with approaches to data investigation, predictive model (algorithms) evaluation and forecasting from datasets.
• Text mining covering in-depth sentiment analyses, exploring word clouds at extremes of sentiment scores, conducting topic modeling and forecasting topic themes for future text data.
• Exploring unsupervised learning through customer segmentation, using K-centroids diagnostics to determine optimal number of clusters (Rand index and Calinski-Harabasz index) and applying K-Means/Median cluster analysis to data.

View Professor Ashok Jashapara’s Alteryx Community Profile here.

Course(s) with Alteryx:

Data Analytics Fundamentals; Data Analytics & Design; Data Analytics & Visualization.

This is a three-course, nine-units pathway that maps to a certificate and/or degree in data analytics at the two-year level of higher education.

View Faculty Carolina Kussoy’s Alteryx Community Profile here.

Course(s) with Alteryx:

Business Analytics I and Business Analytics II.

Business Analytics I is focused on foundational components of Alteryx through pursuit of Core Certification. Business Analytics II is centered on predictive analytic capabilities of Alteryx.

I have also created two certificates incorporating Alteryx.

New Program Spotlight: Business Analytics

New Data Analytics Certificate

Creating courses and certificates using Alteryx has been transformational for my teaching. Students develop in-demand, hands-on, practical skills which are certified at no cost by Alteryx. Serving on the inaugural FAC has been a great experience with each member of the committee bringing an area of expertise to the team.

View Faculty Don Cassidy’s Alteryx Community Profile here.

Course(s) with Alteryx:

This course is intended to provide students with practical literacy on robotic process automation through real-world, relevant data preparation use cases. It will help identify potential uses and the benefits and considerations for robotic process automation. The students will learn the elements of a business process and the basics of developing a BPM application, implementing triggers to automate processes, defining and measuring KPIs. Students will use elements of artificial intelligence (AI) and machine learning capabilities to handle high-volume, repeatable tasks that previously required humans to perform. These tasks can include queries, calculations, and maintenance of records and transactions. Students will be able to apply analytics to the generated data for a systematic computational analysis of data for the discovery, interpretation, and communication of meaningful patterns in data that will be used towards effective decision-making

Alteryx is used to demonstrate how disjointed systems can be tied together to a myriad of data sources. I use Alteryx to tidy up the process before I use a bot to automate the process flows.

View Dr. Gaurav Shekhar’s Alteryx Community Profile here.

Course(s) with Alteryx:

Data Analytics and Machine Learning

Alteryx Designer is incorporated in the practical sessions of the module.
The SparkED Program has been instrumental in enriching the educational and professional experience in my classroom. By incorporating Alteryx Designer, a low-code data analytics tool, I’ve been able to cater to students who may not have coding skills and do not require coding in their future careers. This tool allows them to grasp the fundamentals of data analytics, including machine learning, without the need to learn programming.

My involvement with Alteryx extends beyond the classroom; I have introduced this powerful technology to undergraduates and professionals alike (i.e. working adult classes, industrial attachment and faculty through Alteryx Educator training platform), emphasizing its role in enhancing work productivity. Furthermore, my commitment to this program has led me to develop teaching cases that have been recognized at an international conference. These efforts reflect my belief that both students and the workforce should be equipped with technological tools that streamline their tasks and foster a more efficient work environment. Sharing these resources and experiences with other educators through the Community, underscores the value I find in Alteryx and the SparkED Program. It’s not just about teaching a tool; it’s about fostering a mindset of innovation and efficiency that students can carry into their future endeavors.

View Ms. Janet Tan’s Alteryx Community Profile here.

Course(s) with Alteryx:

Information Technology Audit – This course is designed to examine the practice of information technology (IT) auditing, including professional standards, application of IT and internal control frameworks, and recognition of current and emerging technology related risks. Class sessions cover topics such as IT general controls, systems development and implementation, the auditor’s role related to information security, and data extraction and transformation activities.  Alteryx Designer Desktop is used in this course to explore large datasets and identify data quality issues, then to transform the data, and finally to execute audit queries against the dataset.

Data Analytics for Accountants – This course is intended to provide students with an understanding of data analytic thinking and terminology as well as hands-on experience with data analytics tools and techniques. At the end of this course, students will obtain the skills necessary to translate accounting and business problems into actionable proposals that they can comprehensively present to managers, data scientists, and other users of accounting information. Alteryx Designer Desktop with Intelligence Suite is used in this course to teach how to analyze regression analysis, how to build regression models, and how machine learning provides assistance in these tasks. Students also learn how to connect to SQL-server databases and extract data using Alteryx and SQL.

View Professor Joy Gray’s Alteryx Community Profile here.

Course(s) with Alteryx:

Business Intelligence

This course focuses on business intelligence to support various management tasks in the industry. Students learn to create business intelligence solutions, utilizing data mining methods, and applying intelligence techniques for industrial decision support. Students will be involved in projects to learn the start-of-art techniques for business advantages.

View Dr. Nor Azizah Ali’s Alteryx Community Profile here.