Machine Learning

Hamburg | Data Analytics Courses

2 sessions / week
This is a FREE course

JIf you register here, you will receive all information by mail as soon as we start the application process for the Spring 2025 Semester!

ReDI Career Track: Data Analytics

Course Overview

This course provides a foundational learning in key principles and techniques, ranging from basic model building to intermediate applications. Students will explore both supervised learning, focusing on regression and classification, and unsupervised learning with techniques such as clustering and dimensionality reduction.

Practical skills are built through hands-on experience with popular tools like TensorFlow and PyTorch, culminating in a final project to apply and demonstrate the knowledge gained.

This course aims to equip students with the skills necessary to tackle real-world machine learning challenges effectively.

Part 1: Introduction
- Machine Learning Introduction
- Environment Setup
- Models
- Supervised Learning: Regression, Regularization
- Model Preparation, Evaluation
- Classification
- Unsupervised Learning: Clustering, Dimensionality Reduction
Part 2: Frameworks
- TensorFlow
- PyTorch
Part 3: Final project
- You have an interest in Data Science and/or Machine Learning
- You have a good understanding of Python or completed the ReDI course Python Intermediate
- You can commit at least 10 hours a week (classes + self-study), 80% attendance of the course is required for graduation
- You can commit at least 8 hours for career workshops or trainings during the semester
- You are able to understand and speak English
Register on dataquest.io and finish the following modules:
• Cleaning and Preparing Data in Python
• Pandas and NumPy Fundamentals (first 2 modules only)
Finish the following modules on MS Learn:
• Discover data analysis
• Introduction to Machine Learning
- You’re familiar with Data Science methods and tools
- You’ll be able to use Machine Learning Frameworks
- You have a Data Science mindset
• Career & Soft Skills Workshops, Company Visits
• ReDI Mentorship Program (mentors in the IT industry)
• ReDI Talent Pool (job listing platform)
• SkillBuild Self-paced learning (by IBM & ReDI School)

Course Impressions

Testimonials

“The ReDI School has had a tremendously positive impact on my career path. I'm still wondering what to do next, but I know that integrating digital skills definitely opens doors.”

“I am just a newbie to Tech and I see a long way ahead, but I always feel motivated. Thank you and I am glad that ReDI is always by my side throughout this journey.”

“When I say the opportunity I had at ReDI School was life changing, it was because I saw that it was worth coming here, betting my last coins and actually staying in Berlin and bulding my life here. Everything is still in a process. But for the first time, I feel strong enough and useful with the skill I learned this semester. Thank you”

Hamburg | Mix of online and in-person classes
Classes: Mon & Wed 19:00 – 21:00
Spring Semester: March-June
Fall Semester: September-December
Teaching language: English
Age: 18+