Introduction to data science module - training powered by ULB & VUB expertise

From Raw Data to Actionable Insights

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Embark on a journey into the dynamic world of data-driven decision-making with our comprehensive Introduction to Data Science course!

Course overview

Designed for professionals from diverse backgrounds, this course equips you with essential skills to harness the power of data for insightful analysis and predictive modeling. Whether you're a seasoned analyst or just starting your journey, this course will provide you with the knowledge and tools needed to thrive in the data-driven era. Led by industry experts, you'll explore core concepts in data science, learn to develop data analysis pipelines using Python, and gain practical insights into real-world applications.

Course dates

  • Only the basic course (Course 1 - 6h): 19 March 
  • Basic course (Course day 1 - 6h) + Advanced course (Course day 2 - 3h) + workshop (Course day 3 - 3h): 19, 20 & 27 March 

Course content

  • Introduction to Data Science and Data Analytics
  • Understanding the Four Flavors of Data Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
  • Implementing a Data Analysis Pipeline with Python
  • Data Science in Practice: Best Practices and Ethical Considerations

Learning outcomes

  • Understand the core concepts involved in a Data Science project
  • Identify suitable Data Science methodologies and analysis for different scenarios
  • Develop a prototype of a data analysis pipeline using Python and its data science toolkit

Meet our expert instructors

Jacopo De Stefani: Experienced lecturer and researcher in applied Machine Learning

Jean Cardinal: Professor of Computer Science with expertise in theoretical computer science

Yann-Aël Le Borgne: Expert in machine learning and artificial intelligence

Register here

Datum & Tijd
dinsdag maart 19, 2024
Start - 09:30 (Europe/Brussels)
woensdag maart 27, 2024
Einde - 16:30 (Europe/Brussels)

ULB - Université libre de Bruxelles

--ULB - Université libre de Bruxelles--

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