Data Science & Statistics

Course overview

Upon completion of the training, you will have fundamental knowledge in Data Science and Statistics. Additionally, you will be able to independently carry out data analysis and modeling processes. Data Science Data preprocessing and cleaning Supervised and unsupervised learning methods Linear and polynomial regression Neural network architectures and backpropagation Statistics Sample selection and confidence intervals Hypothesis testing and significance levels Probability distributions and statistical measures

Upcoming dates

• 2026-10-18T22:00:00.000Z · 2026-12-23T23:00:00.000Z · München · Combined Learning
• 2026-10-18T22:00:00.000Z · 2026-12-23T23:00:00.000Z · Köln · Combined Learning
• 2026-10-18T22:00:00.000Z · 2026-12-23T23:00:00.000Z · Stuttgart · Combined Learning
• 2026-10-18T22:00:00.000Z · 2026-12-23T23:00:00.000Z · Gütersloh · Combined Learning
• 2026-10-18T22:00:00.000Z · 2026-12-23T23:00:00.000Z · Augsburg, Bayern · Combined Learning