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Advanced Business Analytics Online

Comprehensive and hands-on, our newest offering in Data Analytics provides an overview of Business Analytics, common methodologies deployed, and examples of how organizations are using platforms to make data driven decisions to achieve competitive advantage. Designed for business professionals with a basic working knowledge of data analytics, this four-day workshop provides analysis of data using popular data science methodologies and platforms. Business analytics is all about using data to gain valuable insights that improve decision making. Participants will achieve these goals through a detailed, hands-on approach by learning popular data science “discovery” and “prediction” methods.

Beginning with a pre-program recorded session for participant viewing, this course is an intensive series of live virtual workshops to convey important analytical metrics, data science methodologies for discovery and prediction as well as how to utilize analytics platforms like KNIME and Tableau Public.

7:00 a.m. – 9:00 a.m.
April 26, 28, May 3 & 5, 2022

Cost: $1,895*
Certificates will be awarded based on successful completion of the 4-day training.

* A 20 percent discount will be given to companies that enroll two or more employees.
* A 30 percent discount will be given to TCU Alumni and TCU Faculty/Staff.
* A 10 percent discount will be given to U.S. veterans and employees of non-profit organizations.

Who Should Attend?

  • Leading with Data Analytics is not a prerequisite to attend this course, however, the curriculum in this program builds on the topics learned in that course. EMBA alumni are invited.
  • Individuals with a working knowledge of business analytics and the tools used to predict outcomes seeking a deeper dive into utilizing tools and methodologies to better predict outcomes.
  • Job titles IT analysts, Business Analysts, Data Scientists, Business Intelligence

What You Will Learn

  • How to utilize tools, techniques to make data-based predictions, improved forecasting and recommendations
  • How to make quicker and more informed decisions using classification trees and regression analysis

Topics:

  • Discovery Techniques Utilizing Example Data
  • How Methodologies Work
  • Prediction Techniques to Improve Forecasts and Decision Making
  • Artificial Intelligence Methods
  • How to use tools to make data-based recommendations

How You Will Benefit

  • Gain the necessary skills to confidently utilize data analysis tools and provide predictions or recommendations based on your analysis of the data.

Schedule

Session 0, Pre-Class Recorded Session Available for On-Demand Viewing on Preparing for Advanced Business Analytics (To be completed before the first live class)

Session 1, Intro / Background / Business Analytics Overview, Important Analytical Metrics Review
Session 2, Data Science Methodologies for Discovery

Session 3, Data Science Methodologies for Prediction
Session 4, Data Science Methodologies for Prediction

We use open source, visual, workflow-oriented tools for our sessions; KNIME Analytics Platform and Tableau Public.  These are amazingly platforms that work best on a Windows PC, but also work well on a Mac.

Certificates will be awarded based on successful completion of the pre-class recorded session and 4-day training.

Faculty Leader

Photo: David Weltman

David Weltman

Associate Professor of Supply Chain Practice
Information Systems and Supply Chain Management Department

Dr. David Weltman is the Associate Professor of Supply Chain Practice for the Neeley School of Business specializing in applied learning, analysis of teaching methods, business statistical models and distribution of inventory management. He teaches in range of programs including at the undergraduate programs, MBA and EMBA graduate programs. Recently taking on a new course for the Neeley Fellows, David has also participated in the “Leading with Data Analytics” certificate program for TCU Neeley Executive Education as well as presented at the Executive Insights Lunch series for the business community. Prior to his career in academia, he spent 15 years at IBM in consulting and services and in marketing technology solutions.

Questions

Please contact

Kalyn McKittrick

Director of Marketing and Engagement 
k.mckittrick@tcu.edu
817-257-6033

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