Curriculum at a glance
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Next course: August 18, 2025
Data Analytics Course in Berlin
From novice to next-level, our Data Analytics course will give you the fundamental skills you need for the fast-paced world of Data Analytics.
Full-time | 18 Weeks | Berlin
No money? No problem. Get 100% financing with the Agentur für Arbeit
Accelerate your future with data
With more jobs than ever requiring data skills, our Data Analytics course will get you career-ready in a way that you’re ready for. Not for the fainthearted, you'll go from writing single-line scripts to weaving captivating narratives with data.
Course Overview
What you'll learn at our Data Analytics Course
Phase I: Getting Started & Basics 🐍
Your journey into learning involves much more than just technical skills – it begins with building a strong foundation for your long-term success. In the very first week, you’ll connect with fellow participants, learn how to make the most of the course, and gain an overview of the IT industry and potential career paths. You’ll also discover how to use artificial intelligence as a productive tool – without falling into misuse.\nRight after that, you’ll dive into the world of data analytics: You’ll gain a clear understanding of the role and responsibilities of data analysts, the stakeholders they collaborate with, and the significance of their work. In addition, you’ll be introduced to the key tools that will later become part of your professional toolkit.
Phase II: Stats, Sheets & Slides🐼
In the second part of your training, you’ll explore the fundamentals of descriptive statistics – an essential tool for structuring and clearly presenting large data sets without losing track. At the same time, you’ll practice using Google Sheets professionally and discover handy features that speed up your workflow. Our coaches will also teach you smart tricks for impactful presentations as well as proven problem-solving methods that will help you navigate even complex projects with confidence.
Phase III: Coding Deep Dive: Python & More 🔧
Now it’s time to get hands-on: Together, we’ll set up your working environment and prepare your computer so you can start coding like a pro. You’ll learn how to navigate the command line with confidence and install Python in your own conda environment. Along the way, you’ll understand the concept of virtual environments, create them yourself, and use tools for package and library management.\nNext, you’ll work in an IDE (Integrated Development Environment), get familiar with Python syntax, and learn essential concepts such as data types, data structures, variables, loops, conditionals, and functions. With your new ability to read and write pseudocode, you’ll put your skills into practice right away by creating your first small Python program.
Phase IV: Conducting Data Analysis 👩🏫
You’re now deeply immersed in the subject and ready to explore exploratory data analysis (EDA). This method helps you examine datasets whose structure and relationships are not yet well understood. You’ll learn how to collect, extend, and clean data using Pandas DataFrames. Along the way, you’ll combine different datasets, handle missing values, and apply your knowledge from descriptive statistics (Phase II) to extract meaningful insights.\nYou’ll also discover what KPIs (Key Performance Indicators) are and create your own metrics. Finally, our coaches will show you how to present your results visually: Using the Matplotlib and Seaborn libraries, you’ll design clear charts and plots that make your analyses easy to understand.
Phase V: From Patterns to Predictions
In this phase, you’ll level up from describing data to drawing solid, data-driven conclusions. You’ll start by exploring probability distributions and understanding how data behaves in real-world contexts. Then, we’ll dive into confidence intervals and how they help estimate population parameters.Next, we’ll guide you through the logic and application of hypothesis testing and how A/B tests are used in product and marketing decisions – an essential skill for any data analyst working in real-world environments.But we won’t stop there. You’ll get hands-on with clustering techniques to group and segment data – ideal for finding hidden patterns. And finally, you'll be introduced to linear regression, a foundational modeling technique used to predict and explain relationships between variables.Through coach-led sessions, hands-on exercises, and real examples, you’ll learn how to go from observing patterns to making confident decisions and predictions with data.By the end of this phase, you’ll not only understand the "what" and "why" – but also the "how" of applying statistical thinking to real business problems.
Phase VI: Databases & SQL 💻
Before heading into the final stretch, you’ll dive into the world of databases together with the other participants. You’ll get familiar with the fundamental concepts and structures and learn how to connect to a provided PostgreSQL database using DBeaver. You’ll understand the SQL syntax and learn how to build a query step by step.\nWith the help of code-along scripts and additional exercises from our coaches, you’ll put your knowledge into practice right away and deepen your SQL execution skills. You’ll also gain an overview of key elements of modern data infrastructures and design your first star schema. Sounds complex? Don’t worry – we’ll guide you through it step by step.
Phase VII: External Data Sourcing
In Phase 7, you'll work with API keys to connect to APIs. We'll teach you how to automate multiple calls with different parameters. In addition, you'll learn to execute SQL queries from Python and practice reading the documentation to understand limits, request and response formats. Heard about JSON files? We'll show you how to access them and extract data from them. With all the skills you've learned so far, you'll then run a project to solidify your knowledge. You'll do this with agile tools to organize the project as perfectly as you will later on in your job!
Phase VIII: Data Visualization with Tableau
A crucial part of a data analyst’s work is presenting insights in a clear and engaging way. In the final phase before your graduation exam, you’ll learn how to connect to data sources and perform initial explorations. Step by step, you’ll get comfortable with the Tableau environment.\nYou’ll practice filtering and grouping data, creating calculated fields, and using parameters. By the end of the bootcamp, you’ll also master LOD (Level of Detail) expressions and table calculations. As the highlight, you’ll build interactive dashboards that make complex analyses easy to understand and visually appealing.
Phase IV: Final Project & Presentation
Because we’re 100% convinced that knowledge sticks best through practical application, during the last four weeks of your Data Analytics Bootcamp you’ll pour all your skills into your digital ‘masterpiece.’ From this point on, you can officially call yourself a Data Analyst. Congrats! 🙌🏼
Phase IV: Stay connected to the SPICED Community 💜
Our doors remain open for personal career sessions (providing we have capacity). You’ll also have lifetime access to our Slack channel, which keeps you connected to thousands of Spicedlings throughout your career. Plus, you’re always invited to join graduations and events to reconnect with the community!
Spiced info events
If you're interested in our further training and would like to learn more before you begin, please feel free to attend one of our information sessions and see which topic is right for you.
Bildungsgutschein: Come Join Our Free Info Webinar!
Get event detils
Open House: Come Visit Our Campus!
Get event detilsPython basics
Take the first steps on your Python journey by learning the fundamentals of this popular and powerful programming language.
Data analysis with pandas
Learn to ask questions with and about data by exploring a variety of datasets.
Statistics
Recap the fundamentals of statistics necessary to thrive in Data Analytics: descriptive statistics, probability distributions, and common pitfalls.
Data visualization
Create clear and effective plots to visually communicate your results.
PostgreSQL
Store data in SQL databases like PostgreSQL, and run queries to manipulate and analyze them
Dashboards
Organize your findings into interactive dashboards using a range of modern tools like Tableau and Dash.
Career Services
Ready for the real world.
What good are skills without getting a foot in the door? We focus extensively on helping you ace real world technical interviews.
Coaching built for you.
We believe that development is continuous, so we offer up-to-date career coaching sessions to help you progress professionally.
Beyond the technical.
Changing careers is more than learning new tech skills. We additionally provide you with spot on soft skills to ace your application process.
Your next step.
Wondering ‘what’s next’? We're connected with exciting startups and companies in Germany.
“If you have an interest in Data Analytics, there is no online course that can be compared with the experience and knowledge that you will be having after these weeks! I now have a deeper understanding of the Data Analytics world, and I am now aware of all the possibilities that are opened for me in my career.”
Diana
Data Analytics Graduate
What our students have built
6,300 alumni have already completed a final project with us. You too will complete one that you can present to your future employers. Discover which projects already exist.
Your teachers at Spiced
Sara Maras
Head of Data Analytics
Alex Schirokow
Data Analytics Coach
Hilal Işık
Data Analytics Coach
Sara Maras
Head of Data Analytics
Where Spicedlings work
Spicedlings are getting hired by your favourite companies:
Financing Options
Invest in your future
Bildungsgutschein
If you’re registered as unemployed (or soon to be) in Germany, you could be eligible to have all your costs covered with a Bildungsgutschein (training voucher).
For more information on this option, check our page dedicated to financing your coding bootcamp with a Bildungsgutschein.
Deferred Payment
We want to make our best-in-class tech courses available to everyone with the motivation to complete them.
Our Deferred Payment Option enables those who aren’t in the position to pay upfront nor in instalments to participate, by offering the chance to pay back at a later date.
Full Payment
If you’re ready to cover the cost of our coding bootcamps immediately, this is the option for you. Pay 14 days before the course starts.
Application & Dates
18 Weeks | Full-time
Online
August 18, 2025 - January 5, 2026
Online
October 13, 2025 - February 27, 2026
Online
December 8, 2025 - April 22, 2026
Berlin
September 22, 2025 - February 6, 2026
Berlin
November 24, 2025 - April 8, 2026
FAQ
What kind of support does Spiced Academy provide to students during the Data Analytics bootcamp?
Great question! At Spiced Academy, our students come first. During our Data Analytics course, you'll receive comprehensive support from our instructors and mentors. They'll be there to guide you, answer your questions, and provide valuable feedback throughout the course. We encourage you to think for yourself, pull at threads, and make the journey your own.
What are the requirements for taking the Data Science bootcamp?
Our Data Analytics course is designed for those with some prior knowledge of programming or mathematics and statistics. It's not to say you can't join any way, we've had lots of Spicedlings come through our course that simply had a tonne of ambition and motivation. Be sure to speak with our Admissions team to see if our Data Analytics bootcamp is for you.
How does Spiced differ from other Data Analytics bootcamps?
Spiced is different. Our methodology is hands-on and prepares you effectively for the demands of real work. Plus, we have an amazing community that will help you go above and beyond.
Will I land a job?
Absolutely! We can't promise it'll be easy, after all, changing direction in life takes hard work. Nonetheless, Spiced has an 83% hiring rate. We don't just help you acquire the technical skills; we also provide extensive career support.
What exactly does a Data Analytics in Berlin Bootcamp cover, and how is it designed to get me hired quickly?
Excellent question—this bootcamp is built around job readiness from day one.
🚀 Here’s what’s taught:
- Data manipulation: Master tools like SQL, Excel, and Python/pandas for wrangling data.
- Data visualization: Create dashboards using Tableau, Power BI, Plotly or Looker.
- Statistical analysis: Regression, segmentation, A/B testing, hypothesis formation.
- Business storytelling: Translate data insights into narrative presentations, slide decks, and reports.
- Capstone projects: You’ll solve a real-world problem—e.g. marketing funnel analysis or financial forecasting—and build a dashboard portfolio piece.
- Why it works: Every module includes practical labs in a structured format—ensuring you graduate with fully-built analytics pipelines and dashboards.
Typical duration is 10–12 weeks full-time or 22–26 weeks part-time in Berlin, and average cost is €6,500–€10,500, often covered by a Bildungsgutschein if the provider is listed in KURSNET/ meinNOW.
💬 “I joined the bootcamp in Berlin. My final dashboard and narrative won me a BI Analyst role within four weeks of graduation.”
✅ If you want to emerge job-ready with real dashboard skills and storytelling ability—this bootcamp delivers direct results.
What’s the career path after finishing this bootcamp, and what salary ranges can I expect starting in Germany?
Smart to clarify—knowing the next steps helps you stay motivated.
💼📈 Common job titles for bootcamp grads:
- Junior Data Analyst in e-commerce, marketing, fintech firms.
- Business Intelligence Analyst working with Power BI, Looker, or Tableau setups.
- Data Reporting Specialist managing dashboards and monthly reporting cycles.
Typical starting salary:
- €40,000–€50,000/year in cities like Berlin or Hamburg.
- With German language skills (B2/C1 level) or certifications (Tableau Certified, Microsoft Certified Data Analyst): €50,000–€60,000.
💬 “I started as a Data Reporting Junior earning €42k. Within two years and Tableau + SQL certification, I moved to Senior BI Analyst role at €58k.”
✅ Starting pay depends on certifications, language, and portfolio strength—but even entry pay enables fast progression in Germany’s analytics market.
How should I prepare beforehand if I’ve never done analytics work before?
Great planning—bootcamps expect curiosity, but a little preparation builds confidence and boosts your results.
📚🧠 Here’s a prep roadmap:
- Brush up on Excel pivot tables and basic formulas.
- Follow a Python/pandas crash course for 5–10 hours—learn reading CSVs, data slicing, groupby operations.
- Try SQL basics via Mode Analytics, SQLBolt, or DataCamp (SELECT, WHERE, GROUP BY, basic joins).
- Watch a beginner’s visualization tutorial—Tableau or Power BI—to understand drag-and-drop dashboards.
- Around 15–20 hours of pre-course prep helps you hit the ground running. Bootcamps usually provide a glossary and foundational content before Day 1.
💬 “I did a 10‑hour free SQL course before the bootcamp. When Week 1 SQL labs started, I was calm—not scared.”
✅ This prep isn’t mandatory—but boosts your confidence and sets the tone for success.
What are some Berlin-based companies that actively hire Data Analytics bootcamp graduates?
Awesome focus! Berlin’s tech and startup scene is booming, and many companies do hire bootcamp graduates, especially if you have a portfolio.
📊🚀 Companies known for hiring bootcamp grads in Berlin: Zalando – Europe's leading fashion e-commerce platform, frequently hires junior analysts. N26 – The fintech neobank is data-driven and loves Python- and SQL-savvy analysts. HelloFresh – Data is central to logistics, supply chain, and A/B testing teams. Delivery Hero – Food delivery scale-up hiring BI analysts and dashboard builders. Scout24 – Real estate platform uses data insights to refine UX and user flows.
Dozens of startups in Factory Berlin or Hubraum’s network—many value practical skills over degrees.
💬 “I applied to five Berlin startups after the bootcamp. The dashboard I built during our final project impressed three founders—landed a job at a mobility startup in two weeks.”
✅ Berlin’s startup DNA favors portfolio-based hiring, and bootcamps prepare you for exactly that.
How do I know if the bootcamp is eligible for a Bildungsgutschein from the Jobcenter?
Excellent question—funding is everything when planning your education in Germany.
🇩🇪💸 Here’s how to check eligibility:
- The bootcamp must be officially listed on KURSNET/ meinNOW, Germany's vocational training portal.
- Use this site:kursnet-finden.arbeitsagentur.deand search the bootcamp name + provider (e.g., “Data Analytics Bootcamp Berlin Spiced”
- The listing should include a unique “Maßnahmenummer” (program ID number).
Steps to get the Bildungsgutschein:
- Register as “Arbeitssuchend” with the Agentur für Arbeit or Jobcenter.
- Request an educational consultation—show how the bootcamp leads to employment.
- Bring bootcamp syllabus, career support documents, and KURSNET/meinNOW listing printout.
💬 “I printed my bootcamp’s KURSNET PDF, explained I wanted to re-skill into BI analytics, and my agent approved my voucher in two appointments.”
✅ If your provider is KURSNET-listed and your motivation aligns with job prospects, you have a strong chance of voucher approval.
Will the bootcamp help me switch careers from a non-technical background, like marketing or hospitality?
Yes, and many bootcamp students do exactly that!
🔄💼 Here’s how it supports non-tech transitions:
- Marketing backgrounds: You already understand KPIs, funnels, and user segmentation. Bootcamp teaches how to analyze them with SQL, Python, and Tableau.
- Hospitality backgrounds: You're process-oriented and great with people. Learn how to use data to improve customer service metrics, logistics, and inventory planning.
- Capstone projects let you choose use cases aligned with your old industry—perfect for pivoting into analytics roles in that sector.
💬 “I was a hotel receptionist. My bootcamp final project analyzed guest reviews and occupancy rates. I now work in analytics for a hotel chain.”
✅ You don’t need to erase your past—bootcamp helps you build on it, with data.
Are there networking opportunities with Berlin’s local data community during the bootcamp?
Absolutely! Berlin has one of the liveliest data scenes in Europe—and bootcamps often plug you right into it.
🤝📍 During and after your bootcamp, you’ll get access to:
- Berlin Data Science Meetups (both in-person and online) on topics like Python, SQL, and dashboarding.
- Tech events at Factory Berlin, betahaus, and Mindspace — often featuring job boards and startup pitch nights.
- Hackathons and Analytics Challenges through partners or open platforms (Kaggle, DataHack, etc.)
- Bootcamp alumni Slack channels — many grads refer each other to hiring managers or interview coaching circles.
💬 “Through a virtual Meetup hosted by the bootcamp, I met someone at a BI consultancy who later referred me to their team.”
✅ If you show up consistently, networking in Berlin’s data community can open major doors—sometimes before you even finish the program.
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