Fundamentals of Data Science Training in Netherlands

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 3 Days
  • Level: Fundamentals
  • Price: From €4,517+VAT
We can host this training at your preferred location. Contact us!

Fundamentals of Data Science is a three day overview course which blends discussion and group exercises to explore the field of data science with applied real world examples and projects.

Teaching begins with a conceptual introduction to science, data science, big data and machine learning; followed by a litany of real-world data science and machine learning examples.

The remainder is divided into two parts: introduction to Python, and the application of the language in building a Machine Learning model (including data preparation, statistical tests, feature engineering, modelling and evaluation).

Delegates attending this course should have technical skills such as application or SQL programming – expose to Python or R would be advantageous.

01 Introduction to Data Science

  • To better understand whether you want to become a data scientist
  • To work with colleagues who are data scientists
  • To judge whether your team (or organization) could benefit from data science

02 Data Science Project Examples

03 Jupyter Notebook

  • Practical Lab Activities

04 Introduction to Python

  • Practical Lab Activities

05 Introduction to Datasets in Python

  • Practical Lab Activities

06 Introduction to Machine Learning

  • To understand what these are, what the different types are and some examples of what they are used for.

07 Introduction to Dataframes and Databases with Python

  • Practical Lab Activities

08 Exploratory Data Analysis with Python

  • Practical Lab Activities

09 Introduction to Big Data

  • To better understand what skills need to be developed
  • To choose the right tools to suit organisational needs
  • To develop a strategy for working with Big Data


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Netherlands facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

15 januari 2025 (3 Days)
Amsterdam, Rotterdam
Classroom / Virtual Classroom
25 januari 2025 (3 Days)
Amsterdam, Rotterdam
Classroom / Virtual Classroom
15 januari 2025 (3 Days)
Amsterdam, Rotterdam
Classroom / Virtual Classroom
25 januari 2025 (3 Days)
Amsterdam, Rotterdam
Classroom / Virtual Classroom
25 februari 2025 (3 Days)
Amsterdam, Rotterdam
Classroom / Virtual Classroom
01 maart 2025 (3 Days)
Amsterdam, Rotterdam
Classroom / Virtual Classroom
25 februari 2025 (3 Days)
Amsterdam, Rotterdam
Classroom / Virtual Classroom
01 maart 2025 (3 Days)
Amsterdam, Rotterdam
Classroom / Virtual Classroom

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Fundamentals of Data Science Training Course in Netherlands

The Netherlands, which is also informally known as Holland, is a country located in Northwestern Europe with overseas territories in the Caribbean. The four largest cities are Amsterdam, Rotterdam, The Hague and Utrecht. Amsterdam is the country's most populous city and the nominal capital, while The Hague holds the seat of the States General, Cabinet and Supreme Court. Rotterdam is the second largest city and has the largest port in Europe. The importance of the Netherlands for Europe is so huge that it cannot be ignored. The country is a founding member of the European Union, Eurozone, G10, NATO, OECD, and WTO.

The tourist attractions of the Netherlands are windmills, canals, and tulips. Canals are an important part of Amsterdam's cityscape and Keukenhof, the Garden of Europe, is the largest public garden in the world. The National Museum Rijksmuseum and the Anne Frank House are must-see places in the Netherlands.

Enhance your IT skills with our comprehensive array of courses, spanning programming, software development, data science, and project management. Benefit from the convenience of choosing your preferred location in Netherlands as our experienced instructors deliver interactive training and real-world insights.
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