Data Science in Real Life

Blended learning

Who is the training for?

Open to all candidates

Level reached

Intermediate

Duration

13,00 week(s)

Language(s) of service

EN

Prerequisites

No prerequisite

Goals

  • Gain fundamental knowledge of what Data Science is and what do Data Science people do.
  • Learn about Data Science in a business context and what the future of Data Science is.
  • Understand Data Science applications and discover some use cases for Data Science.

Contents

Lesson 1 - Defining Data Science
Lesson 2 - What Does a Data Science Professional Do?
Lesson 3 - Data Science in Business
Lesson 4 - Use Cases for Data Science
Lesson 5 - Data Science People

Points covered

  • Gain fundamental knowledge of what is Data Science and what do Data Science people do
  • Learn about Data Science in a business context and what the future of Data Science is.
  • Understand Data Science applications and discover some use cases for Data Science

Teaching methods

The online delivery blends synchronous and asynchronous components. Students complete self-directed assignments hosted on the course platform. Weekly Forums support a required active, rubric-based student contributions that foster collaboration

Evaluation

Exams may include essays, short answers, or MCQs. Formats include open/closed book. Time zones are considered. Assessments are formative and summative. Students have 2 weeks to review grades and must follow the appeal process in the Student Handbook

Certificate, diploma

Certificate

Additional information

Please note that there are three semesters as intake periods as noted on the academic calendar.
Scholarship Awarded (Total Fee: €100)

Registration is done online.

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