With an increasingly digital workforce, data literacy skills are key for driving successful business outcomes. Data literacy has become a core requirement for all employees, not just data scientists. Operational roles ranging from data entry to purchasing to account management must all be able to understand the importance of data and how it relates to the overall strategy of your business. While non-technical employees are tasked with making data-driven decisions, industry experts note a decidedly large skills gap in data science knowledge.
40 hours
Start Anytime!
Online
Self-paced
$1,995
The Data Literacy for Business course content provides the best of both worlds: SMU data science faculty and industry leaders who bring real world insights from companies like AT&T, Ericsson, VMWare, AWS and Blue Cross Blue Shield. You will gain the foundational knowledge necessary to thrive in today’s digital landscape and take your business to the next level.
This groundbreaking course is for anyone charged with making data-driven decisions within their organization who isn’t a data scientist. Data science touches EVERY aspect of an organization including HR, sales, finance, marketing, IT and your C-suite. Anyone tasked with making data-driven decisions will benefit from this course.
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Learn more about the content covered in the SMU Data Literacy for Business Certificate
Dr Bivin Sadler has spent the last 9 years serving as Technical Assistant Professor and Lead Faculty of the Master of Science in Data Science program (MSDS) at Southern Methodist University. He is the co-author of Time Series for Data Science, published by CRC in 2022. Dr. Sadler has been recognized as a HOPE (Honoring Our Professors of Excellence) Professor in 2014, 2015 and 2017.
Originally from Dallas, Texas, Dr. Bivin Sadler earned a BS in mathematics magna cum laude from Texas Tech University before beginning his professional career at Motorola in Scottsdale, Arizona. He worked as a statistician and software engineer for 2.5 years, working primarily on a company-wide tool to predict when software projects could be released with optimal statistical properties (Six Sigma). Upon completion of the project, he moved to San Diego, and while playing professional beach volleyball for two years, finished a master’s degree in applied math at San Diego State University. He then moved back to Dallas to earn a PhD in statistics from SMU. He finished his degree in 2014 after winning the Walsh Award for the top score on the qualifying exam taken after the third year of coursework.
Academically, he has presented his work in item response theory at various conferences and is currently working on several domestic and international consulting projects.
