Data Analytics
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
This course introduces you to the fundamental skills required in data analytics, including statistical analysis, data cleaning and manipulation, data visualisation, and an introduction to some machine learning methods. You will have ample opportunity to work with large, real-world data sets in class, and apply your knowledge in a final project.
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Write basic Python scripts to manipulate and analyze data
Use statistical methods to understand and analyze data
Use Python libraries manipulate, analyze, and visualise large datasets
Apply machine learning algorithms to analyze and make predictions on real-world datasets
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 speak English
You can commit to at least 10 hours a week (classes + self-study)
You have either successfully completed the ReDI courses Introduction to Computer Science AND Python Intermediate OR 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 - mix of online and in-person
- Tue & Thu, 19:00 - 21:00
- Spring Semester: March-June
- Fall Semester: September-December
- Teaching language: English