Data Circle
Last updated
Last updated
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.
Classes: Monday and Wednesday, 19:00 - 21:00
Time Invest: 15 hours per week
Timeline: Start Date is 10th of March 2025, End Date is 19 of June 2025 (14-weeks)
Hybrid: Certain events take place in person in the following locations: NRW, Berlin, Hamburg.
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.
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:
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!
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!
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.
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.
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
To graduate and receive the ReDI Certificate, we ask you to:
Submit project
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.
Project Proposals:
Project Presentations:
Attended 80% of the sessions (We have a )
you are committed to working in the
Start applying now by completing the !
Check out the of the different levels. If you are a little bit challenged but able to complete a Prework, then the level is right for you.
January
Open Day
Apply
Complete the application form and finish your prework.
February
Student Interviews
Students are interviewed for the course.
March
Kick-Off Course runs
We kick-off the semester.
April
Course runs
You join the sessions and work on your project.
May
Course runs
You join the sessions and work on your project.
June
Course runs Demo Day
The course finishes! Students present their final project.
You tried our - and it couldn't fully help you ..? In that case, please go through the Applicant Hub thoroughly. The answer is probably in here . Alternatively, you can reach out to us via email: .
