Overview
Our unique hands-on method teaches you tech foundations and an analytical mindset that will give you an extra edge in any role — empowering you to make better data-informed decisions.
Our data analytics Data Analytics course offered at Le Wagon is intense. To be prepared and make the most out of the bootcamp, you must complete 40 hours of preparation work to give you basic tech foundations and culture.
Career
After the course, you will be able to apply for different roles in data, as an employee or a freelancer:
- Jobs that are 100% data driven: Data Analyst, Business Analyst, Data Project Manager, Data/BI Consultant, Data Marketing...
- Hybrid data-business jobs: Ops, Sales Ops, Growth, Product, Digital Marketing, Consulting, Product Data Manager.
Programme Structure
Courses include:
- SQL
- Extraction
- Data Visualization
- Python
Key information
Duration
- Full-time
- 2 months
- Part-time
- 7 months
Start dates & application deadlines
- StartingApply anytime.
- StartingApply anytime.
- StartingApply anytime.
- StartingApply anytime.
Language
English
Delivered
On Campus, Online
Campus Location
- Amsterdam, Netherlands
Disciplines
Data Analytics View 9 other Short Courses in Data Analytics in NetherlandsWhat students do after studying
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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
- The data analytics bootcamp is beginner-friendly, with no prerequisites required. What counts for us is that you’re motivated to start your new Tech journey.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents7400 EUR / full≈ 7400 EUR / full -
EU/EEA Applies to you
Applies to youEU/EEA Nationals7400 EUR / full≈ 7400 EUR / full
Living costs
Amsterdam
Netherlands
1000 - 1500 EUR / month
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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