Data Science Developer

Course overview

Upon completion of the training, you will have knowledge as a Data Science Developer in the development, implementation, and optimization of machine learning algorithms. You will also be able to perform data preparation, model training and evaluation, including neural networks, and visualize data science results. Tasks of a Data Science Developer in machine learning pipelines Development of machine learning models (linear regression, logistic regression, decision trees) Implementation and training of neural networks with PyTorch, including backpropagation and weight updates Validation and optimization of models through k-fold cross-validation, hyperparameter optimization, and determination coefficients Data preparation and visualization with Pandas, Matplotlib, and three-dimensional plots

Upcoming dates

• 2026-09-06T22:00:00.000Z · 2026-11-01T23:00:00.000Z · Augsburg, Bayern · Combined Learning
• 2026-09-06T22:00:00.000Z · 2026-11-01T23:00:00.000Z · Hamburg · Combined Learning
• 2026-09-06T22:00:00.000Z · 2026-11-01T23:00:00.000Z · München · Combined Learning
• 2026-09-06T22:00:00.000Z · 2026-11-01T23:00:00.000Z · Bremen · Combined Learning
• 2026-09-06T22:00:00.000Z · 2026-11-01T23:00:00.000Z · Mönchengladbach · Combined Learning