Applicant Hub
  • 👋Welcome
  • 🌐Full-Stack Track
    • HTML & CSS
      • Prework - HTML & CSS
    • JavaScript
      • Prework - JavaScript
    • Full-Stack Bootcamp
      • Prework - Full-Stack Bootcamp
    • Full-Stack Circle
      • Prework - Full Stack Circle
  • 📊Data / AI Track
    • Python Foundations
      • Prework - Python Foundations
    • Data Analytics
      • Prework - Data Analytics
    • Machine Learning and AI
      • Prework - Machine Learning and AI
    • Data Circle
      • Prework - Data Circle
  • 💻Tech & Design Basics
    • Creative Communications
      • Prework - Creative Communication
    • IT Infrastructure Foundations
      • Prework - IT Infrastructure Foundations
    • UX/UI Bootcamp
      • Prework - UX/UI Bootcamp
  • 📚Resources
    • Camera On Policy
    • Prework
  • Frequently Asked Questions (FAQ)
Powered by GitBook
On this page
  • What is the course about?
  • Why should you take this course?
  • Projects
  • How you will learn
  • Semester Outline
  • A typical week
  • Onsite Activities
  • After the course
  • How to Graduate from the Course?
  • How to apply?
  • Sign up to Join Open Day
  • Complete Prework
  • Hand in Application Form
  • Interview (24.02 - 28.02)
  • Onboarding (10.03)
  • FAQ
Export as PDF
  1. Data / AI Track

Data Circle

PreviousPrework - Machine Learning and AINextPrework - Data Circle

Last updated 8 days ago

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.

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:

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

Monday 19:00 - 21:00

Wednesday 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.

If you are located in Berlin and surrounding, we invite you to four on-site community events throughout the semester.

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.

If you are based in Hamburg, you will join the course four times in person: Onboarding, two regular course sessions, and Demo Day.

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:

  • Submit project

Is this course for me?

How to apply?

1

Optional for current ReDI students. Join us to find out more about the courses and requirements.

2

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.

3

Hand in Application Form

We ask you for the link to your completed prework in the application form.

4

Interview (24.02 - 28.02)

Depending on your course, you may be interviewed by the teachers.

5

Onboarding (10.03)

Your course starts!

Complete Your Prework


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:

Not sure which course level to apply for?

Project Proposals:

Project Presentations:

Attended 80% of the sessions (We have a )

you are committed to working in the

to Join Open Day

Complete

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.

📊
Salary Analysis & Predictor, Twitter Election Analysis
Previous Projects Fall 2024
camera on policy
ReDI style
Sign up
Prework
Data Circle Prework
How to choose a tech career?
Career Changer Playbook
Prework
More information
A Dashboard from a Previous Project
Career Tech Guide

🤖 Unsure about the course?

Try out our (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.

AI Chatbot on Open AI

Timeline

Month
Topics
Description

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.

Still unsure what to do..?

You tried our - 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 . Alternatively, you can reach out to us via email: .

💬
AI Bot
FAQ Page
dcp@redi-school.org