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Description

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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