Data Science Essentials

Are you ready to boost your analytics skills, or kickstart your career as business analyst?

Join the new 8-day hands-on course Data Science Essentials!

Contact information

Vanessa Rijkeboer
Programme Manager of The Analytics Academy

+31 (0)20 525 61 34

Course information

Available dates
Spring '20: 30/31 Jan + 5/6 Mar + 2/3 Apr + 28/29 May

Amsterdam Business School
Plantage Muidergracht 12
1018 TV Amsterdam

€ 6.500

Alumni of the University of Amsterdam will get a 10% discount, when noting your programme and graduation year in your application.
This course can also be offered tailor-made, in-company and in-house. Please contact us for more information.

Permanent Education (PE) 


This course offers 56 PE hours for Dutch chartered accountants (RA), auditors (RE, RO) and controllers (RC). UvA is officially accredited by NBA and CEDEO.

Why join the course Data Science Essentials?

What will you learn?

The goal of the course is to teach participants the practical and hands-on skills to conduct data science projects. We mainly focus on the practical and ‘hard’ skills like programming, statistics and machine learning, but will pay attention to the necessary soft skills as well. You will learn the key concepts for working with data and analytics techniques and grow the skills to efficiently run data science projects to answer the key questions of your business.

During this 8-day course you will acquire:

  • the ability to handle structured and unstructured data;
  • insights in judging the quality of data;
  • skills to perform analysis on data;
  • skills to report the results with clear visuals and storytelling.

For whom?

This course is for business professionals who perform analyses of any form on data on a daily basis. The content is especially tailored to people who seek to get more from their data. A technical background or profound affinity is a prerequisite, since you will be learning a programming language and will be developing competences in advanced statistics. If you are not sure if your background fits the course, please contact us via


  • Day 1: Introduction to Data Science and AI 
  • Day 2: Python programming
  • Day 3: Statistics for Data Science , Exploratory Analysis & Visualization
  • Day 4: Business Questions & Project Management
  • Day 5: Machine Learning
  • Day 6: Model Performance, selection & tuning
  • Day 7: Prescriptive analytics, operation research & optimization
  • Day 8: Hackathon

 Dates next course

  • Thursday 30 and Friday 31 January 2020
  • Thursday 5 and Friday 6 March 2020
  • Thursday 2 and Friday 3 April 2020
  • Thursday 28 and Friday 29 May 2020

Times:   09.00 – 17.00


Data Science Essentials 2019-2020

file: pdf
size: 995.59 KB
last updated: 02/07/2019