Machine Learning
Hamburg | Data Analytics Courses
2 sessions / week
This is a FREE course
If you're interested in our Fall semester, please fill out the interest form to stay informed.
ReDI Career Track: Data Analytics
Course Overview
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Introduction
• Machine Learning Introduction
• Environment Setup
• Models
• Supervised Learning: Regression, Regularization
• Model Preparation, Evaluation
• Classification
• Unsupervised Learning: Clustering, Dimensionality Reduction
• Deep Learning Introduction: Tensors, Neural Nets from Scratch
• Model class, learning rate, batches, hyperparameters
• Classification Models
• Computer Vision: Image classification, CNN, Object Detection, Transformers
• Natural Language Processing
• Model Deployment
Frameworks:
• TensorFlow
• PyTorch
Final project
Job Readiness: Soft skills through career trainings geared towards preparing you for job applications & interviews, networking events and job fairs.
You will learn from experts in the industry to start a career in tech.
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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
You have a good understanding of Python
You have passed the equivalent of Python Intermediate
You have an interest in Data Science and/or Machine Learning
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Prepare yourself for the course with the following self-learning free content:
• Discover data analysis on MS Learn
• Introduction to Machine Learning on MS Learn
Register on dataquest.io and finish the following modules:
• Python Intermediate: Cleaning and Preparing Data in Python
• Pandas and NumPy Fundamentals (first 3 modules)
• Elements of the Command Line (first module only)
Note: Graduates from our Python Intermediate course will be preferred!
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You’ll be able to:
• Be familiar with Data Science methods and tools.
• Use Machine Learning Frameworks
You have a Data Science mindset
You start looking for internships and junior positions
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• 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)
• You should expect to spend a minimum of 8 hours for career workshops or trainings during the semester.
Course Impressions
- 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+