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.

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

Testimonials

“The ReDI School has had a tremendously positive impact on my career path. I'm still wondering what to do next, but I know that integrating digital skills definitely opens doors.”

“I am just a newbie to Tech and I see a long way ahead, but I always feel motivated. Thank you and I am glad that ReDI is always by my side throughout this journey.”

“When I say the opportunity I had at ReDI School was life changing, it was because I saw that it was worth coming here, betting my last coins and actually staying in Berlin and bulding my life here. Everything is still in a process. But for the first time, I feel strong enough and useful with the skill I learned this semester. Thank you”

Munich - fully online (less spots available) or hybrid (mix of in person and online)
Online: Tue & Thu, 19:00 - 21:00
Hybrid: Tue (in person) & Thu (online), 19:00 - 21:00
Spring Semester: March-June
Fall Semester: September-December
Teaching language: English

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