# 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. {% hint style="info" %} ### Course Details * Classes: Tuesday and Thusday, 19:00 - 21:00 * Time Invest: 15 hours per week * Timeline: Start Date is 16th of March 2026, End Date is 17th of June 2026 (14-weeks) * Hybrid: Certain events take place in person in the following locations: NRW, Berlin, Hamburg. [More information](#onsite-activities) {% endhint %} {% embed url="" %} ## 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](https://docs.google.com/presentation/d/1tANwD_JhwO455hnS7Ao3T262c0fN1TyfHRgQxGGbJVQ/edit?usp=sharing) * Project Presentations: [Previous Projects Fall 2024](https://docs.google.com/presentation/d/1PmjTo-JDyecOXiVE1ff2b9aKgfcMrSQoLQ3DX950YI8/edit?usp=sharing) ## How you will learn * **Sessions: T**wo 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! {% hint style="warning" %} ## **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! {% endhint %} ## 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

Teusday 19:00 - 21:00

Thursday 19:00 - 21:00

Friday - Monday

You work on your weekly project milestone. That means you will be coding hands-on by yourself. If you run into problems, you can contact your class on Slack.

## Onsite Activities Based on your location, there are different on-site activities. Find out more below. {% tabs %} {% tab title="Berlin" %} If you are located in Berlin and surrounding, we invite you to four on-site community events throughout the semester. {% endtab %} {% tab title="NRW" %} If you are located in NRW, we invite you to four on-site community events throughout the semester. The Demo Day will also take place in person in Düsseldorf. {% endtab %} {% tab title="Hamburg" %} If you are based in the Hamburg metropolitan region, you’ll attend two in-person sessions: one onsite at the end of April, and our Demo Day Celebration at the end of June. {% endtab %} {% endtabs %} ## Timeline

Month	Topics	Description
January	Open Days	Join Info Sessions to get to know ReDI School & Fall 2025
January - February	Open Days Application Open	Join Info Sessions to get to know ReDI School & Fall 2025 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	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](https://redi-school-1.gitbook.io/applicant-hub/resources/camera-on-policy)) * Submit project {% hint style="success" %} ## Is this course for me? * [x] you have solid skills in Python * [x] you have either a good understanding of Machine Learning (you have built first ML models before) or a solid understanding of Data Analytics (you have used pandas, seaborn, numpy, plotly, SQL) * [x] you can understand and speak English * [x] you can commit at least 15 hours a week * [x] you are eager to work on projects * [x] you are motivated to join a class without lectures that focuses on hands-on work * [x] you are committed to working in the [ReDI style](https://redi-school-1.gitbook.io/applicant-hub/resources/redi-style) {% endhint %} ## How to apply? {% stepper %} {% step %} ### Review The Applicant Hub Before submitting your application, make sure you have carefully read all the important information about the course, including the semester dates, course content, course hours, and the instructions on how to successfully complete your prework. {% endstep %} {% step %} ### ~~Sign up to Join Open Day~~ ~~Optional for current ReDI students. Join us to find out more about the courses and requirements.~~ {% endstep %} {% step %} ### Complete [Prework](https://redi-school-1.gitbook.io/applicant-hub/data-ai-track/data-circle/prework-data-circle) 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. {% endstep %} {% step %} ### Hand in [Application Form](https://redischool.typeform.com/ApplicationDCP) We ask you for the link to your completed prework in the application form. {% endstep %} {% step %} ### Interview (23.02 - 27.02) Depending on your course, you may be interviewed by the teachers. {% endstep %} {% step %} ### Onboarding (16.03) Your course starts! {% endstep %} {% endstepper %} {% hint style="success" %} ## Complete Your Prework Start applying now by completing the [Data Circle Prework](https://redi-school-1.gitbook.io/applicant-hub/data-ai-track/data-circle/prework-data-circle)! {% endhint %} *** ## FAQ

Not sure which track you are interested in?

If you don't have any experience with tech, apply to our introduction course: HTML & CSS, Infrastructure Basics, Python Foundations or UX/UI Design Bootcamp. To understand which tech career interests you, check out the following link: * [How to choose a tech career?](https://www.freecodecamp.org/news/how-to-choose-a-tech-career/) * [Career Changer Playbook](https://ga-core.s3.amazonaws.com/cms/files/files/000/003/816/original/Career-Changers-Playbook.pdf) * [Career Tech Guide](https://redi-school-1.gitbook.io/applicant-hub/data-ai-track/broken-reference)

Not sure which course level to apply for?

Check out the [Prework](https://redi-school-1.gitbook.io/applicant-hub/resources/prework) of the different levels. If you are a little bit challenged but able to complete a Prework, then the level is right for you.

{% hint style="info" %} ## 🤖 Unsure about which course to choose or have a question? Try out our [AI Chatbot on Open AI](https://chatgpt.com/g/g-682b35175a5881919fac8d808d8a81ef-redi-school-dcp-course-applicants-advisor) (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. {% endhint %} *** ### [💬](https://emojipedia.org/speech-balloon) Still unsure what to do..? You tried our [AI Bot](https://chatgpt.com/g/g-682b35175a5881919fac8d808d8a81ef-redi-school-dcp-course-applicants-advisor) - 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](https://redi-school-1.gitbook.io/applicant-hub/frequently-asked-questions-faq). Alternatively, you can reach out to us via email: .