Data Science 101

Data Science 101 is the perfect starting point for anyone wishing to understand this growing field better. We will start by exploring data science to allow you to clearly understand what data science is and what it isn’t. We’ll discuss typical job duties as well as the skills needed to become a data scientist. R programming language will be used to do some experimental data analysis. (No prior experience in programming is required.) Also discussed is how to interview, hire, and manage data scientists—a great topic for IT leaders. Join us to learn more about data science—one of the fastest growing segments of analytics.

Course Outline:

  • Definition of data science including 3 major components
  • Benefits and uses of data science
  • Data Science Life cycle
  • Typical job duties for data scientists
  • Skills needed for data science
  • Becoming a data scientist
  • The data scientist in the enterprise
  • Interviewing and Hiring data scientists
  • Managing data scientists
  • Getting experience as a data scientist
  • Data Scientist toolbox
  • R and R Studio
    • Defining
    • Installing
    • Introduction
    • Some basic functionality
  • Version control with Github
    • Defining
    • Installing
    • Basic usage

Unique Value of Course:


Who Should Attend:

  • Chief Analytics Officer
  • Chief Data Officer
  • Senior Managers in Operations and IT
  • Business Process Managers
  • Business Process Analysts
  • Business Analysts
  • Business Architects
  • Project managers
  • Data Analyst
  • Data Scientist
  • Data Specialist
  • Data Stewards
  • Information Architects

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