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.

    • 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

    • 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.

    • You can start looking for internships and junior positions in data analytics.

    • 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

Teachers

 

How to apply

 
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