Official Description

4.0 Continuing Education Units (CEUs)

Introduction to fundamental principles of data science, data collection, exploration and visualization techniques. Focus is placed on how data science supports business decision-making, translating data insights into business value, new business models and products, opportunities and challenges faced by data-driven businesses.


Supplementary Information

30 hours in-class plus minimum 10 hours of assignments.

Topics Covered

  • Python fundamentals 
  • Data science  
  • Data-driven decisions 
  • Basic math, probability, and statistics for data science  
  • Data visualization 
  • Exploratory data analysis 

Learning Outcomes

  • Demonstrate basic Python skills required for different data science projects  
  • Connect to different types of datasets using Python  
  • Perform exploratory data analysis on a data set using different Python data science packages   
  • Choose and apply appropriate basic data visualization techniques to support exploratory analysis of datasets  
  • Describe the data science process and its different steps  
  • Explain certain data-driven business models and the link between data and business value 

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