Data Scientist
Develop the critical expertise to make data-driven decisions with our Data Scientist training program: play a key role in shaping the future of your business by analyzing complex data and turning data into valuable insights.
This comprehensive training consists of five modules, ranging from the basics of machine learning to the effective application of AI and advanced tools.
What awaits you
Module 1: Introduction to machine learning with Python & scikit-learn
A general introduction and overview of the world of machine learning and the Python package scikit-learn. Typical working steps and potential pitfalls are presented.
Module 2: Supervised learning with scikit-learn
The central supervised methods in the field of machine learning and their application in regression and classification.
Module 3: Unsupervised learning with scikit-learn
Overview of the most important unsupervised learning methods in machine learning. You will explore the possibilities of dimension reduction and cluster algorithms.
Module 4: Basics of neural networks with Tensorflow/Keras
The functioning of neural networks, which form the basis for numerous complex applications such as computer vision or speech processing.
Module 5: Introduction to Git
This cross-cutting module provides a thorough introduction to Git, the powerful version control system.
- Duration: 80 hours (live) over 11 weeks
- Blended format: 2x4 hours live online per week + exercises and self-paced learning + final project
- Target audience: Beginners
- Prerequisites: Foundational mathematics and statistics
DATA SCIENTIST TRAINING
AT A GLANCE
DATA SCIENTIST TRAINING
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