Data Analytics

Python for Data Analysis: Use Python to clean, analyze, and visualize data.

Data Tools: Work with Pandas, NumPy, and Matplotlib for efficient data manipulation and visualization.

SQL Basics: Query databases and extract insights.

Statistics Fundamentals: Learn descriptive and inferential statistics for data interpretation.

Visualization Techniques: Create clear charts and graphs to present data.

Final Project: Apply skills to real-world datasets and complete data analysis projects. You have the chance to present your project to your colleagues in the course. 

Career Readiness: Build job application skills and prepare for roles in the data field.

You are interested in Data Analytics and Python programming

You have a solid understanding of Python 

You have tried out some Data Analytics online courses

you are interested in self-study and independent project work

you can understand and speak English

You can commit at least 15 hours a week

Sessions: Two sessions a week. It is essential that you attend both sessions. 80% of attendance and homework completion is required for graduation.

Hybrid: Depending on whether you are based in Hamburg, Berlin, or NRW, different on-site activities occur. In Hamburg, one session a month is on-site. In Berlin and NRW, you can join on-site community events. All other sessions are online via Zoom. 

Teachers: Your teachers are experts in the industry and volunteer to support your learning journey. 

Learning Style: At ReDI, we believe in learning by coding. You are asked to apply the newly learned concepts in weekly homework and in a final project. This requires a lot of independent self-study. The teachers help you explain the concepts only at a high level. You are putting them into practice in your homework and project.

Active Work: Note this is NOT a passive, lecture-style environment. Each learner is expected to be self-driven and motivated to code and work hands-on each week on the assignments. ReDI to start coding? Then join us!

Monday: Every Monday from 19:00 to 21:00, you have an online session in which you discuss your homework and where you will be introduced and practice new concepts.

Wednesday: Every Wednesday from 19:00 to 21:00, you have an online session where the volunteer teachers introduce you to new concepts. They will share the weekly homework with you in this session.

Thursday - Sunday: You work on your weekly homework. That means you will be coding hands-on by yourself! If you run into problems, you can contact your class on Slack. You upload your homework before the Monday session.

you have built your own Data Analytics project (ML or data analysis)

you know how to start analyzing a dataset

you know about Data Science Tools (pandas, sklearn, ...);

you can continue learning with our Data Analytics alumni group

you can start looking for internships or continue learning in the Machine Learning & AI course or in the Data Circle.

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)