Data Science Fundamentals
The basic concepts of data science and machine learning will be introduced during this training. We start with theory but will quickly put that theory into practice. First, with drag-and-drop no-code tools, and later in the course, we will train machine learning models with the programming language Python.
Introduction Data Science Fundamentals
The basic concepts of data science and machine learning will be introduced during this training. We start with theory but will quickly put that theory into practice. First, with drag-n-drop no-code tools, and later in the course, we will train machine learning with the programming language Python. At the end of the training, the participants will understand the basic concepts and potential of data science and the way machine learning models are trained and used.
Main Subjects
The main subjects we will cover in this training are:
- Data Science theory
- Python basics
- Machine learning concepts
- How to get a Data Science project up and running
Full Program
Day 1
| 09.00 – 10.00 | – | Introduction | – | Theory | ||
| 10.00 – 11.30 | – | Data Science theory | – | Theory | ||
| 11.30 – 12.00 | – | Introduction to KNIME | – | Theory | ||
| 12.30 – 14.30 | – | No-Code Machine learning | – | Theory | ||
| 14.30 – 16.30 | – | Introduction to Python | – | Practice |
Day 2
| 09.00 – 09.30 | – | Recap day 1 | – | Theory | ||
| 09.30 – 10.00 | – | Discuss Python Homework | Practice | |||
| 10.00 – 17.00 | – | Data Science in Python part 1 | Practice |
Day 3
| 09.00 – 09.30 | – | Recap day 2 | – | Theory | ||
| 09.30 – 10.00 | – | Discuss Python Homework | Practice | |||
| 10.00 – 12.30 | – | Data Science in Python part 2 | Practice | |||
| 12.30 – 16.00 | – | Data Science Hackathon | Practice |
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