Data Circle
What is the course about?
Join the Data Circle to build hands-on, teamwork-style data projects in a Scrum/Agile environment. Do you already have solid Python and Data Analytics skills and want to deepen your knowledge by working hands-on on a data project? Then this course is for you! In the Data Circle, you work on one project for a full semester with the support of a team of colleagues and professional guides. Enhance your skills toward a career in data, for example, as a Data Analyst, Machine Learning Engineer, or Data Scientist.
Course Details
Classes: Monday and Wednesday, 19:00 - 21:00
Time Invest: 15 hours per week
Timeline: Start Date is 08th of September 2025, End Date is 08th of December 2025 (14 weeks)
Hybrid: Certain events take place in person in the following locations: NRW, Berlin, Hamburg. More information
Why should you take this course?
Project Work: Start a realistic Data Project with a team and agile methods. Work in a team of colleagues and guides - complete complex projects through collaboration.
Python, Data Analytics, or Machine Learning: depending on your interest and prior knowledge, you can take over project tasks in these areas.
Projects
The course will run in a project-based learning format. Students will progress through structured projects to master data analytics or machine learning.
Agile: We use agile/scrum sprints and retros
Previous Projects:
Project Proposals: Salary Analysis & Predictor, Twitter Election Analysis
Project Presentations: Previous Projects Fall 2024
How you will learn
Sessions: Two sessions a week. It is essential that you attend both online sessions. 80% of attendance is required for graduation.
Guides - No teachers: You will work hands-on with our guides, who are industry experts volunteering to support you.
Teams - The Data Circle will be split into smaller teams. Each team gets a project topic to work on for the full semester. Every group will provide regular updates with all the other teams to create an environment of shared learning.
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 project. ReDI to start coding? Then join us!
ReDI Style
This course is about hands-on project work. There are no lectures. We work together on data projects with your colleagues and a team of volunteers. We ask you to take over parts of a project and actively work on them. Are you ready to work hands-on and independently? Then join us!
Semester Outline
Weeks 1 & 2: Tools configuration, development environment setup, project management process overview
Remaining weeks: Split into 2-week sprints. Each sprint contains a focus topic according to the project type that needs to be completed. Milestones will break down the project into smaller deliverables. Expect weekly homework (project work) during this period.
Demo Day: At the end of the semester, each team will present their projects to the audience of ReDI course community members.
A typical week
Onsite Activities
Based on your location, there are different on-site activities. Find out more below.
If you are located in Berlin and surrounding, we invite you to four on-site community events throughout the semester.
Timeline
June
Open Days
Join Info Sessions to get to know ReDI School & Fall 2025
July
Open Days Application Open
Join Info Sessions to get to know ReDI School & Fall 2025 Complete the application form and finish your prework.
August
Student Interviews
Students are interviewed for the course.
September
Kick-Off Course runs
We kick-off the semester.
October
Course runs
You join the sessions and work on your project.
November
Course runs
You join the sessions and work on your project.
December
Demo Day
Present their final project.
After the course
You will have built your own project and can showcase it for your portfolio
You will understand data problems more clearly and how to build something to solve the problem
You will be a better communicator and will understand the complexities of sharing tasks and motivating each other
You will have more experience to talk about in interviews and can start looking for internships and junior positions
How to Graduate from the Course?
To graduate and receive the ReDI Certificate, we ask you to:
Attended 80% of the sessions (We have a camera on policy)
Submit project
How to apply?
Sign up to Join Open Day
Optional for current ReDI students. Join us to find out more about the courses and requirements.
Complete Prework
Complete it before the application deadline. Start early! The Prework might take up to 20 hours in total. The deadline is stated in the email with the link to the application form.
Complete Your Prework
Start applying now by completing the Data Circle Prework!
FAQ
🤖 Unsure about the course?
Try out our AI Chatbot on Open AI (you need a ChatGPT account to access it). Please keep in mind that the Chatbot might make mistakes. You can find all the correct information on the Applicant Hub.
💬 Still unsure what to do..?
You tried our AI Bot - and didn’t find the answer you needed? Please make sure to review the Applicant Hub carefully, your answer is likely there. Still stuck? Check our FAQ Page. Alternatively, you can reach out to us via email: dcp@redi-school.org.
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