Data & Analytics Bootcamp
Are you looking to become a data analytics expert? This bootcamp will train you to achieve expert-level skills in less than 3 months.
- Duration
- 18 weeks (144 hours)
- Time per week
- 8 hours
- Courses
- 6 courses
Who this is for
This fits you if
- Career switchers and professionals who want to become expert data analysts.
Another option may suit you better if
- You already program daily and want to build pipelines. Take a look at Data Engineering Bootcamp instead.
- You want to build predictive models. Take a look at Data Science Bootcamp instead.
- You only want to learn AI tools. Take a look at AI Essentials Bootcamp instead.
Not sure? Plan a free study advice call
Prerequisites
- Basic computer skills.
- No prior data experience required.
What you'll learn
- What it's like to work as a data analyst through hands-on experience.
- How to use Excel at an expert level and apply statistical methods.
- How to build and share your own interactive Power BI dashboards.
- How to apply your skills in practice and continue developing further.
The program
Multiple courses of a few weeks each, building on one another.
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1
Data Fundamentals Course
3 weeksBuild your foundation in data: the landscape, the tools and the statistics behind every data role. The starting point for the Data & Analytics, Data Science and Data Engineering bootcamps.
Taught by Patrick Pisani
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2
Data Storytelling Course
3 weeksLearn to present data in a compelling way that sticks. This course teaches you the most important strategies to visualize and communicate your data effectively.
Taught by Fatemeh Ghaderinezhad, Steven Nijman
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3
Microsoft Excel Essentials Course
3 weeksMaximize your efficiency in using Microsoft Excel. This Essentials course covers all basic functionality and is specially designed to help you increase your productivity with large datasets.
Taught by Lucia Riscado Cordas
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4
Data Visualization with Power BI Course
3 weeksDo you struggle with making data understandable and impactful? Our course teaches you data visualization skills with hands-on experience building dashboards in Power BI.
Taught by Ben Galili
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5
AI Literacy & Ethics Course
3 weeksExplore the ethical, legal, and social implications of AI including the EU AI Act. Learn to evaluate and design responsible AI strategies.
Taught by Hanan ElNaghy
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Final Assignment: Data Analytics
3 weeksThe closing module of the Data & Analytics Bootcamp — apply everything you've learned to a real, practical data analytics project.
Taught by Lucia Riscado Cordas
Optional, after your bootcamp: internship & career counseling →
What a week looks like
Every course in this bootcamp runs for 3 weeks, and every week looks like this.
8 hours per week
5 hours
Self-study
Course material and exercises on our learning platform, whenever suits you.
1 hour
Live with your teacher
A fixed moment every week, online or at Science Park. Small group, so you get to participate.
2 hours
On your own work
Do the assignment on your own data and your own situation. No exercise files.
Teachers for this bootcamp
Patrick Pisani
Data Science, Applied AI & Analytics Education
Patrick is a Data & AI Specialist with an MSc in Data Analytics and extensive experience across finance, tech, and government sectors. Specializing in Python, SQL, and predictive analytics such as e-commerce forecasting models, he guides cohorts through core data engineering, applied statistics, and machine learning principles at Amsterdam Data Academy.
Courses in this bootcamp
Fatemeh Ghaderinezhad
AI Transformation and Strategy
Fatemeh holds a PhD in statistics and founded a consultancy helping SMEs through AI transformation. She teaches Data Storytelling.
Courses in this bootcamp
Steven Nijman
Data Storytelling and Visualisation
Steven is a data visualization specialist at Jaaf Information Design, with a background in data journalism and a PhD in epidemiology. He combines analytical skills with visual storytelling to turn complex data into clear, impactful narratives.
Courses in this bootcamp
Lucia Riscado Cordas
Data Analysis (SQL & Excel), Data Storytelling & Visualisation
Lucia has 5+ years of professional experience in SQL-based data analytics and now runs her own Data Storytelling & Visualisation Design practice. She teaches Excel and SQL and assesses final assignments for the Data Analytics bootcamp.
Courses in this bootcamp
Ben Galili
Python, SQL, Power BI, AI Agents, Data Storytelling, Tableau, Excel, R
Ben has broad industry experience including eBay and Dell, and teaches across Python, SQL, Power BI, data storytelling, and AI agents in the Analytics and Data Engineering bootcamps.
Courses in this bootcamp
Hanan ElNaghy
AI Literacy, AI Ethics, Machine Learning, Computer Vision, Deep Learning, Business Intelligence, Digital Heritage
Hanan ElNaghy is a Blended Learning Lecturer at Amsterdam Data Academy, where she teaches AI Literacy, AI Ethics and Machine Learning to professionals who want to understand and apply AI responsibly and ethically in their work. She is also an Assistant Professor at The American University in Cairo, teaching across the School of Sciences and Engineering and the Onsi Sawiris School of Business. She holds a PhD in Computer Vision from the University of Amsterdam, where her research on 3D digital heritage was part of the EU Horizon 2020 GRAVITATE project, and her work has been published in leading international journals and conferences. With over 18 years of experience across academia, research and industry, Hanan brings academic depth and applied, real-world insights to every learning environment.
Courses in this bootcamp
First live sessions
These are the dates of each group's first live session with the teacher. You don't have to wait for them: as soon as you register, you get access to the learning materials and can start with the self-study.
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Soonest
2026-10-22
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2026-12-03
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2027-01-14
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2027-02-25
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2027-04-08
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2027-05-20
None of these dates work for you? Let us know and we'll think along with you.
Choose your format
The content, the teacher and the certificate are the same in all three formats. What differs is the focus and the planning, and that's reflected in the price.
With your team
Most affordable per person from four participants.
- From four participants
- Built around your own cases
- On location or remote
- Subsidy often possible
In a group
The usual way: you share the teacher with a few others and follow a fixed schedule.
- Fixed start date, fixed schedule
- Small group of fellow students
- Shared teacher
Individual
For anyone who prefers to work at their own pace.
- Start whenever you want
- Your own pace and planning
- Teacher just for you
- Personal guidance
Flexible payment
Payment options
Through your employer, with a voucher or in instalments: there's usually a way that works. Not sure which fits you? We're happy to think it through with you, free and without obligation.
Option 1
Through your employer
We can invoice your employer directly, with 30 days to pay. If it helps, we'll give you a training plan to discuss internally.
Option 2
With a government contribution
A UWV training voucher or a municipal voucher can cover (part of) the cost. We're on the approved lists, CRKBO-registered, and glad to help with the application.
Training with colleagues? Your employer may be able to use the SLIM subsidy; we're happy to do the application together.
Option 3
Paying yourself
Pay the full amount at once, or spread it: 3 or 5 instalments at no extra cost, or an interest-free loan through TechMeUp. You choose when you register.
Officially classified
NLQF Level 6, comparable to bachelor level
Every course and bootcamp is part of our Applied AI & Data Science programme, classified by NCP NLQF at NLQF Level 6, comparable to bachelor level. Your certificate states it, so employers know what your training is worth.
What NLQF Level 6 means →