Machine Learning
Munich | Data Analytics Courses
2 sessions / week
This is a FREE course
ReDI Career Track: Data Analytics
Become a Data Analyst, Data Scientist, Data Engineer
Course Overview
In this course, you will learn the core concepts of machine learning that a beginner must know. We will cover 'classical machine learning' primarily using Scikit-learn. You will virtually “travel around the world” as we apply these classic techniques to data from many areas of the world to allow you to learn while building.
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Apply the core concepts of machine learning
Consider fairness when using machine learning techniques
How to use regression, classification ML, and clustering ML techniques
How to use language processing, time series forecasting, and reinforcement learning ML techniques
Apply your knowledge in real-world applications for ML
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You can speak English
You can commit to at least 10 hours a week (classes + self-study) and at least 8 hours for career workshops or trainings during the semester.
You have successfully completed Data Analytics OR you already have similar skills.
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You can start looking for internships and junior positions in data analytics.
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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 eLearning (by IBM & ReDI)
You should expect to spend a minimum of 8 hours for career workshops or trainings during the semester.
Course Impressions
- Munich - Online
- Tue & Thu, 19:00 - 21:00
- Spring Semester: March-June
- Fall Semester: September-December
- Teaching language: English