Data Circle

Berlin | Data Analytics & Data Science & AI Courses

  • 1 session / week

  • This is a FREE course

ReDI Career Track: Data Analytics & Data Science & AI Track

Become a Data Analyst

Course Overview

Join the Data Circle to work on real, hands-on, teamwork-style data projects. The project will last for a total of 14 weeks with a team of students and the support of coaches. Enhance your skills toward a career in data, for example as a Data Analyst, Data Engineer, Machine Learning Engineer or Data Scientist.

Join us to learn: 

How to bring an idea to life, how to install and configure the necessary components, how to build and execute, what kind of challenges data professionals face in their real-world projects, new ways to use data tools and frameworks for different use-cases, how to work in a team and share tasks, how agile processes are applied, how to break down the work into sprints to achieve the team goal, and how to communicate and present the findings of the project - and more!

The Data Circle is hands-on, and is NOT a lecture-style environment. Each participant is expected to demonstrate a high level of initiative and self-motivation through the practical work. The goal is to apply what has been learned in previous semesters and use the knowledge towards building the project idea. Coaches assist with providing technical expertise or guidance when asked, but otherwise it is up to each student team to find their own solutions, work on the weekly tickets, experiment with different possible scenarios to find their own solution, and organize their own time and tasks - just like in a real data team. The project is developed in an agile way with sprint planning and retros. Only the first 2 weeks contain workshops & lectures on project management. The remaining 12 weeks are centered around the actual project work.

Join us and transform your knowledge into your 1st hands-on, practical group experience which boosts your CV towards a fruitful career in data and tech!

  • • Job Readiness: Soft skills through career trainings geared towards preparing you for job applications & interviews, networking events and job fairs.

    • You will learn from experts in the industry to start a career in tech.

    • You are looking to get a job in data or tech

    • You can work independently and take initiative

    • You are motivated to work on projects

    • You communicate well and aren’t afraid to ask questions

    • You want to work in teams and collaborate

    • You can commit at least 10 hours a week

    • You are ready to show up at our location every week

    1. Understand why hands-on projects are important (https://www.youtube.com/watch?v=KU__lDJj5iU)

    2. Understand your field of interest and the possible data career you want to work towards. For example: Resource 1, Resource 2, Resource 3.

    3. Ensure your Python skills are ready to be used daily/weekly for 12 weeks.

    4. Organize your schedule so that you are ready to come to the weekly on-site sessions + work daily towards the project goal

    5. Build up your skills in the area of your interest:

      1. Learn about BigQuery

      2. Work on your SQL skills.

      3. Learn about ML

    6. Familiarize yourself with Agile Project Management. Resource 1, Resource 2. And prepare yourself to use these practices daily.

  • 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 feel the difference between a guided course and an unstructured, real world environment which includes unexpected errors, finding own solutions and taking own initiative to reach out for help or formulate specific questions.

    you can continue growing and exchanging with our alumni group

    you will have more experience to talk about in interviews and can start looking for internships and junior positions

  • We meet on Wednesdays at 18:45 on-site at the Factory Görlitzer Park (Berlin) in order to collaborate in-person. Some sessions may be held online, however that would be an exceptional circumstance.

  • • Career & Soft Skills Workshops, Company Visits

    • ReDI Mentorship Program (mentors in the IT industry)

    • ReDI Talent Pool (job listing platform)

    • SkillBuild self-paced eLearning (by IBM & ReDI)

    • You should expect to spend a minimum of 8 hours for career workshops or trainings during the semester.

Course Impressions

 
  • Available in Berlin
  • Classes: Wednesdays 18:45 - 20:45
  • Spring Semester: March-June
  • Fall Semester: September-December
  • Teaching language: English

Teachers

 

How to apply

 
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