Python Basics for Analytics

Designed for existing SAS and power Excel users who frequently leverage analytic tools and want to transition to a Python-based delivery, this program will develop basic Python skills to transition and augment existing analytic skill sets. Successful completion will contribute to completion of the Data Science Pro Series.

Key Takeaways

  • Develop basic Python skills to transition from SAS or power Excel
  • 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
  • Personalize your learning with a facilitated, blended experience

COURSEWORK REQUIREMENTS

  • Python as Object-Oriented Language
    (1.5 units)
  • Conditionals: Handling Data Objects
    (1.5 units)
  • Iterators: Automating Data Manipulation
    (1.5 units)
  • Indexing: Optimization
    (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
  • 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
  • Supporting staff for C-level executives, division presidents and vice presidents who want to use analytics to improve decision making through improved analytic outcomes

Faculty

Nagiza Samatova

Dr. Samatova is a Professor of Computer Science at NC State University, specializing in Big Data analytics, Graph Theory, Graph Algorithms and Graph Mining, and Data-Drive Discovery from Scientific Data. One of her hallmarks is pioneering work on parallel R. Her broad impact has been read into the Congressional records (2006), recognized by The New York Times and Science magazine (2007, 2010) and widely acclaimed throughout her field.

Learn More About Nagiza Samatova

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