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.

    • 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.

    • 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

  • You can continue with one of these tracks: Back-End Development or 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

 
  • 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

Teachers

 

How to apply

 
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