Data Science Literate

This program is designed for individuals with limited to no experience in data science. Participants will develop a basic understanding of data science terminology and tools that can be applied to their professional positions or ambitions. Program participants will begin by learning the language and impact of data science, the principles of structured and unstructured data, probability, statistics, modeling, machine learning, and how to communicate analysis through visualization.

Key Takeaways

  • Understand the foundational taxonomy of Data Science to speak with fluency in data science terminology and confidently use data science tools
  • Learn the basics principles of data science, structured and unstructured data, probability, statistics, modeling and machine learning
  • Leverage your data science fluency for career development, enhanced skill sets, internal and external marketability
  • Apply the tools and language of data science to your current position or organization
  • Personalize your learning with a facilitated, blended experience


  • Data Literacy (1.5 units)
  • ROI: The Business Impact of Data Science (1.5 units)
  • Intro to Data Science Principles (1.5 units)
  • Intro to Structured/Unstructured Data
    (1.5 units)
  • Intro to Probability & Statistics (1.5 units)
  • Intro to Modeling & Machine Learning
    (2.5 units)

Who Should Attend

  • Early to mid-career professionals interested in math, science, and coding who want to improve their internal or external marketability
  • IT professionals looking to pivot or advance their career track
  • Senior managers and executives charged with leading one or more data scientists and incorporating data science or machine learning into their operations
  • Mid-level professionals who engage with large amounts of external data, such as market information
  • Functional leaders seeking confidence to engage in intelligent conversations about data science
  • C-level executives, division presidents, and vice presidents who want to use analytics to improve decision making on their team


Jared Dean

Jared Dean is a Principal Data Scientist and Business Knowledge Series instructor at SAS. Previously, Jared was a Mathematical Statistician for the US Census Bureau and CTO of Reveal Mobile. He holds a number of patents in data mining and is the author of Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners (John Wiley & Sons, Inc., May 2014).

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