Python
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: Choose A Track:
Course Overview
This course provides a solid foundation in Python programming including creating object-oriented programs, using external libraries, and handling errors and exceptions. You will have ample opportunity for hands-on practice in class and in a cumulative, final project.
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Write and understand Python code and fundamentals: variables, data types, control structures, functions, file handling
Gain experience with version control using Git and GitHub: branching, committing, merging, and collaborative coding.
Develop problem-solving skills by completing practical projects and building simple applications
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 course Introduction to Code, Data and Design OR have a basic understanding of Python from somewhere else
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You can continue with one of these tracks: Back-End Development or 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
- The Munich online course is Tue & Thu, 19:00 - 21:00
- The Munich hybrid course is: Mon & Wed, 19:00 - 21:00
- Spring Semester: March-June
- Fall Semester: September-December
- Teaching language: English