Overview
In this Data Analytics programme from CareerFoundry, you will:
- Work 1:1 with an expert mentor and tutor, who will give personalized feedback and insight into the daily life of a data analyst.
- Receive tailored coaching from our Career Services Team to ensure you stand out at interviews
- Build an impressive portfolio out of the real-world projects you complete
- Land a job as a data analyst within 180 days of graduating from the program—or your money back
Why choose CareerFoundry?
- Human-centric learning
Our dual mentorship model ensures that you get all the support you need. You’ll have both a tutor—an experienced data analyst responsible for evaluating your exercises within 24 hours of submission, and a mentor—a data analytics industry expert who gives detailed written, video, and on-call feedback on your portfolio pieces.
- Flexibility with accountability
Study at a flexible pace within the 8-month program duration, working a minimum of 15 hours per week. Your mentor, tutor, student advisor, and career specialist will help you stay on track and accountable.
- Successful, satisfied graduates
With 90% of our eligible graduates getting a tech job within 180 days of graduation at top companies—including Google, Apple, and Amazon—you can be confident that taking the program will get you where you want to go: working as a data analyst in a job you love.
Programme Structure
Courses include:
- Data Analytics in Practice
- Excel
- Understanding Your Data Set
- Cleaning Your Data
- Grouping & Summarizing Your Data
- Analytical Methods
- Conducting a Descriptive Analysis
- Developing Insights
Key information
Duration
- Part-time
- 6 months
- Flexible
Start dates & application deadlines
- Course starts every second week on Mondays
Upcoming dates:
- Monday,November 24th
- Monday,December 1st
- Monday,December 8th
- Monday,December 15th
- Monday,December 22nd
Language
Delivered
Campus Location
- Berlin, Germany
Disciplines
Data AnalyticsWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This program is designed with the absolute beginner in mind. Meaning, there are no prerequisites or prior experience in design or tech required.
- Regardless of age or background, we’ve built a learning experience to ensure your success. From the catered curriculum and hands-on exercises to one-on-one mentorship and support throughout.
- Motivation to transform your career
- Interest in data analytics
- Written and spoken English proficiency at a B2 level or higher
Technological requirements
- A computer (macOS, Windows, or Linux) with a webcam, microphone, and an internet connection
- Operating system: Windows 10, macOS versions 10.13 and later, Ubuntu, Debian, CentOS, or Fedora (Linux) •
- We recommend a minimum of 12 GB of RAM on your device, but 16 GB would be preferable
- Microsoft Excel, as well as Tableau, Python, Anaconda, Jupyter, PostgreSQL, GeoPandas, and GitHub.
Tuition Fees
-
International Applies to you
Applies to youNon-residents6900 EUR / full≈ 6900 EUR / full -
EU/EEA Applies to you
Applies to youEU/EEA Nationals6900 EUR / full≈ 6900 EUR / full