Discover Track: An Introduction to Data Science

Discover the basics of Data Science and the value of Big Data for your organisation.
Your organisation acquires vast amounts of data every day and you know there are valuable business opportunities to achieve with that Data using Data Science. But where do you start? How can you understand the data and create insights gathered from data solutions and available data sets? 
 
Unlock the power of Data Science for your organisation with our Introduction Module. Get an introduction to Data Science and explore how to execute a Data Science Project in 7 days
Contact
​Chantal Stevels
Program Coördinator
​c.v.stevels@jads.nl
+31 (0)40 247 4100
Visit our online information session on one of the following dates and times:​
  • 24th of September (16:00 - 16:45)
  • 1st of October (19:30 - 20:15)
  • 8th of October (16:00 - 16:30)

Register now!
An Introduction to Data Science

All Certified Data Science Tracks commence with the Introduction Module.
​Get acquainted with JADS, your fellow participants and experience the combination of Entrepreneurship, Data Science and Education. In this track you will work on the implementation of a Data Science Machine Learning project that is set up and executed according to the CRISP-DM model.
 
This project contains all phases of the data value chain, from business understanding, data understanding, data preparation and modeling to evaluation of the CRISP-DM model.
Fast Facts
Duration: 7 weeks
Time: 7 full days
Weekly hours: 16
Location: 's-Hertogenbosch/ Online
Next start: 6th November 2020
Tuition fee: € 3,950 VAT exempt

Admission requirements
Bachelor's or Master's degree in relevant field. At least 3 years of relevant working experience
​English language proficiency​

After the Discover Track You have learned

  • Why business and data understanding are essential when applying data-science in your own organisational context.
  • What data engineering and data preparation contains.
  • What the role is of data modeling in processing meaningful data and machine learning.
  • How to establish data visualization.
    What the potential/ viability of candidate data science / machine learning projects in your organisation are.
  • How to execute a data science project using the CRISP-DM methodology.
  • The basic principles underlying data science / machine learning problems and know how to apply them.
  • To understand and apply commonly used machine learning techniques in Python and integrate them in a pipeline to load, explore, prepare and model data, and evaluate results.
  • Assess the quality of data science projects.

Why study Data Science?

Do you fit the profile?
​You have a technical or business background with a feeling for data and numbers. You already have an idea what Data Science potentially means for your organisation. You are seeking relevant knowledge, skills, insights and methodology with which you can successfully implement a data driven approach to business issues within your organisation. You want to explore how you can contribute to implement a data driven approach to your organisation.

The team you will learn from

Get educated by the best of both worlds. Professionals and professors associated with two universities combining technological with business expertise, research and knowledge. People with experience and passion, who combine academic research and real-world business expertise. This is where science and business come together.

​For more information about our lecturers Download the Brochure
Execute Track

The Execute Track educates you to execute a Data Science Project within your field of work using your own Data. Fields you can specialise in at JADS are: Health, Public Services, Professional Services Energy, Industry and Supply Chain Management.

​You will experience how to apply technical knowledge to your own relevant business issues and work on your own Data Science Project.

Any questions? 

Leave your data with us and we will get in touch! 
Join our information session here.
Or send an email to professionaleducation@jads.nl