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Course

IBM SkillsBuild - Enterprise Data Science in Practice

Self-paced

$295 Enroll

Full course description

Objective

Play different roles within a data science team, solve real challenges within the enterprise and leverage AI-powered technologies

 

Badge

Earn IBM's Enterprise Data Science in Practice badge

 

Audience

This course is only available to people affiliated with Illinois Tech

 

Credit

None, this is a not-for-credit course

 

Prerequisites

Complete the Getting Started with Enterprise Data Science course

 

Scope

  • Data science team roles
  • Data science method
  • Data analysis tools
  • Real-world use cases

Learning outcomes

  • Understand the composition and working of a Data science team, including the different roles, processes, and tools
  • Key statistics concepts and methods essential to finding structure in data and making predictions
  • Internalize the data science methodology by learning to: (a) Characterize a business problem; (b) Formulate a hypothesis; (c) Demonstrate the use of methodologies in the analytics cycle; (d) Plan for execution
  • Construct usable data sets by identifying and collecting the data required, and manipulating, transforming, and cleaning the data; demonstrating the ability to deal with data anomalies such as missing values, outliers, unbalanced data, and data normalization
  • Hands-on experience with IBM Watson Studio, Data Refinery Spark, Jupyter Notebooks, and Python libraries
  • Visualize statistical analysis, identify patterns, and effectively communicate findings to executive sponsors for business-driven decision-making