DataPro I

This program is designed for existing analysts, consultants, SAS and power Excel users who frequently leverage analytic tools and work directly with resources developing and delivering complex analytic assets to an organization. Participants will learn basic skills in Python to transition and augment existing analytic skill sets. Data Literate is a recommended pre-requisite for this program. Successful completion will contribute to advancing through the Data Science Pro Series.

Key Takeaways

  • Develop basic Python skills and build your fluency in Python programming and syntax to complement your existing analytic skills 
  • Leverage your new Python fluency for career development and enhanced marketability 
  • Understand the foundational taxonomy of Data Science to speak with fluency in data science terminology
  • Learn basic statistical concepts that explore and summarize data
  • Evaluate models and their statistical significance; optimization of models
  • Learn the fundamentals of data wrangling, data manipulation, data cleaning and NLP
  • Learn components of predictive models, decision trees, neural networks, and model fitting to judge quality of models 
  • Personalize your learning with a facilitated, blended experience


  • Introduction to Programming in Python
    (1.5 units)
  • Exploratory Data Analysis
    (1.5 units)
  • Data Wrangling with Python
    (1.5 units)
  • Predictive Modeling & Analytics
    (1.5 units)
  • Machine Learning Techniques
    (1.5 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 
  • 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 customer information 
  • Functional leaders seeking confidence to engage in intelligent conversations about data science 


Rakesh Ravi

Rakesh Ravi is a Research Assistant Professor and a Data Scientist at NC State University. Rakesh specializes in analyzing unstructured text and converting unstructured information to structured visualization patterns. He is currently the lead developer on a three year R&D project with the American Coatings Association. The project involves building a full stack open source natural language processing engine and a visualization platform to analyze health and environmental impacts of materials of interest used in the paint and coatings industry.

Learn More About Rakesh Ravi

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