Data Circle

Berlin | Data Analytics & Data Science & AI Courses

  • 2 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 build hands-on, teamwork-style data projects in a Scrum/Agile environment. The project will last for a full semester with a team of learners and the support of professional Guides. 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

  • How to communicate and present the findings of the project 

- and more!

Our “Circles” at ReDI are designed to be a safe space for practical work with the goal of applied-learning: building and applying knowledge gained from previous courses or experiences. Circles are NOT intended to be 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 while gaining experience in a team project.

Join us as we dive into the ups and downs of real data project work! Apply to Data Circle!

  • Students will be given a homework assignment to complete some self-learning at home that will cover a review of important concepts covered by the previous courses so they can level up and better benefit from this experience on day one.

  • • 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

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

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

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

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

    Build up your skills different areas of data:

    Learn about BigQuery

    Work on your SQL skills.

    Learn about ML

    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

  • This course is held completely online via Zoom.

    • 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
  • Fully online
  • Mondays and Wednesdays, 18:45 - 20:45
  • Spring Semester: March-June
  • Fall Semester: September-December
  • Teaching language: English
  • The F24 admission period has ended. The admission for S25 will be opened from Dec 2024 - Feb 2025

Teachers

 

How to apply

 
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