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Python Basics: Python Institute PCEP

According to the Python Institute, Python is the programming language that opens more doors than any other, and the more you understand Python, the more you can do. Our 6-week instructor-led online Python Basics course is designed for those: 

  • Interested in a career or project in data science, machine learning, or scientific research 
  • Interested in automating tasks and writing scripts to streamline repetitive processes 
  • Interested in learning your first programming language 
  • Looking to learn a versatile language that can be used for web development, data analysis, automation, and machine learning 
  • Looking to improve collaboration with other computer programmers on your team 
  • Looking to write code more efficiently and reduce development time  
  • Experienced programmers looking to expand your skills set 
  • Preparing to take the Python Institute PCEP-30-02 certification exam 

Course Information

The course is designed to provide a solid foundation in Python programming and prepare them for the PCEP-30-02 certification exam. Students will learn the basics of Python such as data types, variables, loops, and functions. They will also learn how to handle exceptions, and use Python libraries.

The course will also focus on the best practices of software development. Students will learn about code style, debugging, and testing. The course will conclude with a comprehensive review of all the topics covered to help students prepare for the PCEP-30-02 certification exam.

  • Location: Online
  • Duration: 6 Weeks, Evenings 
  • Register by: Sept. 11, 2024 
  • Cost: $625 
  • Next Start Date: Sept. 18, 2024 
  • Learn more …

Instructor:

Roberto founded ScholarU, a company focused on data and business analytics training, and Analysis Consulting LLC, a company focused on data science and data visualization. He was the Head and Executive Director of Data Science and Strategy at Metis, a company focused on Data Science and Analytics training. Previously, he led the signal processing team at Sensoria Inc., did research at the University of Washington, and was a Program Manager at Microsoft.  He has worked in applications in healthcare, internet of things, and business intelligence markets.  He received a PhD in Biomedical Engineering from Boston University and has co-authored several scientific publications, book chapters, and patents.