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 & Trainings, Company Visits 
- ReDI Mentorship Program (mentors in the IT industry) 
- ReDI Talent Pool (job listing platform) 
- Further Online Learning resources such as IBM SkillsBuild self-paced eLearning (by IBM & ReDI) 
 
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
 
                         
  
  
    
    
     
  
  
    
    
     
  
  
    
    
     
  
  
    
    
     
  
  
    
    
     
        