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  • EN
    • DE
  • Courses
    • Data Science
      • Full-time
      • Part-time
    • Web & App Development
      • Full-time
      • Part-time
      • Vollzeit (German)
    • UX/UI Product Design
      • Full-time
    • Data Analytics
      • Full-time
    • AI for Business
      • Full-time
      • Vollzeit (German)
    • View All Courses
  • One-Year programs
    • Data Science & AI
    • Software Engineering
    • View all programs
  • Why us?
    • Study online
    • Financing Options
      • All Financing Options
      • Bildungsgutschein
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    • SpeakTech
    • About us
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    • Blog
    • Events
    • FAQ
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    • Work With Us
  • Apply Now
Full-time

DATA ANALYTICS BOOTCAMP

Acquire the professional skills to read and analyse data, and harness the industry-standard technologies for analytics.
Apply now
Data Analytics
  • Next Course

June 11, 2025 (English)

  • Format

100% ONLINE
13 weeks online

  • Schedule

Monday to Friday
9:00 to 17:30 (CET)

  • Language
English

WHY TAKE THIS BOOTCAMP

Skilled data analysts are increasingly in demand in every industry, from finance and healthcare to marketing and e-commerce. Our Data Analytics Bootcamp will position you at the forefront of this dynamic and ever-growing field.

You will become proficient in the skills, tools and techniques to organise raw data and transform it into actionable insights that drive business decisions. You will work on hands-on projects designed to simulate real-life work environments, under the careful eyes of expert instructors.

Designed expressly for the modern job market and with a curriculum that is constantly updated and reviewed, the Data Analytics Bootcamp will equip you with the precise skills to kick off a career in the data industry – and therefore, in every industry.

Data Analyst job vacancies in Germany
0 +
Average Salary in Germany
0 €

Where our graduates work

Tesla logo
Deutsche Bank copy
Lufthansa logo
Zalando logo
Mercedes Benz logo
upwork copy
heycar logo
feather copy
Excentra logo
Eurospace logo
aubex copy
Deutsche Bahn logo
vly logo

Requirements you WILL need

An open mind

You will encounter ideas and concepts that may seem foreign or new to you, and will be challenged to step beyond what feels comfortable. Welcome this as an opportunity for growth.

The patience to engage with data

The journey to understanding data involves collecting, processing, and analysing it. Learning this doesn’t require any special skills or background, but like all work that is fundamentally about processing numbers, it does require patience and a cool mind.

A conversational level of English

Our bootcamp welcomes students from everywhere in the world and is conducted in English. You should know this language well enough to participate in classes and interact with peers without hindering the group’s progress.

A computer with internet access

You’ll access our educational content and connect with instructors and fellow learners through our online platform. A computer or laptop with internet access, as well as a set of speakers/headphones and a microphone, are necessary to partake in our program.

Requirements you WON'T need

A talent for mathematics

Data analytics will demand diligence and effort of you, but not any ‘special’ mathematical talent. Even if you didn’t stand out in mathematics class back in school, that’s perfectly ok.

Prior experience in computer science

No prior experience with computer science or coding is necessary. Our program is designed for beginners and will cover foundational aspects in the initial weeks.

A competitive mindset

Our learning environment emphasises collaboration over competition. It’s important to foster a supportive and cooperative mindset, focusing on your own personal development as the measure of success.

Cutting-edge hardware

While you need your own computer, it doesn’t have to be equipped with the latest graphics card or a NASA processor. The tools used in this bootcamp will work on any reasonably modern computer.

WHAT DOES THE DATA ANALYTICS BOOTCAMP TEACH?

You will start from the fundamentals of data analytics, then work your way to advanced proficiency with industry-standard tools like Python, SQL and Tableau. By the end of the bootcamp, you will become adept at analysing large datasets, uncovering patterns, trends, and anomalies that can inform strategic business decisions.

Throughout the bootcamp, you will work with real-world datasets and learn how to approach them with a variety of data visualisation and statistical techniques. Starting from simple challenges, you will gradually be empowered to tackle highly complex data problems, both independently and working as part of a team.

Do you know the difference between data science and data analytics? Find out which one is best for you in our career-focused comparison!
Read more

INTRODUCTORY MODULE: THE PRIMER

At the beginning of your bootcamp, you will have access to our Primer, a self-learning course which will acquaint you with the basics of the subject. Think of this as a ‘mini course,’ with exercises and dedicated support from a junior instructor, to familiarise you with the basic concepts that are important for your upcoming courses.

Essential Statistics
SQL
Tableau
Python

BUSINESS ANALYTICS WITH SQL, TABLEAU AND PYTHON

Master data visualisation and presentations using SQL and Tableau, while learning Python for comprehensive data handling. Leverage libraries such as Pandas to read, clean, and explore real business data. This module not only equips you with data skills, it also lets you apply them in a business context, enabling you to find actionable insights and formulate business strategies in a professional setting.

What you will learn:
Data Storytelling with MySQL and Tableau
Query Relational Databases with SQL and build interactive visualisations with Tableau to support data-driven decision-making.
Pandas Playground
From data rookie to DataFrame master: dive into Pandas, a powerful Python library. Learn to transform, clean, analyse, and visualise your way to data insights.

EDA, DATA VISUALISATION AND SEABORN

EDA (Exploratory Data Analysis) is a discipline you should master alongside data visualisation and presentations – and the Python library Seaborn will equip you with the skills for it. Learn how to take a jumbled mess of data and extract the value hidden within it!

What you will learn:
Data Cleaning
Learn how to examine and clean real-world data, diving into the chaos and turning it into clarity.
Data Visualisation
Discover the art of summarising cleaned data through insightful visualisations.

ANALYTICS TOOLKIT: SCIPY, BEAUTIFUL SOUP, APIS

Working with real statistics becomes easier once you equip yourself with Python’s Scipy and Beautiful Soup libraries, enabling you to engage with essential algorithms and data extraction. Integrating Google Sheets, querying large datasets with Big Query, and visualising data insights in Looker Studio are pivotal in translating data into actionable intelligence, but you will not stop there: this module is where you start learning about APIs and database management, taking your data manipulation skills online.

What you will learn:

A/B Testing

Generalising from data and testing hypotheses are two pillars of statistics. Learn how these old-school techniques are applied in modern data science with case studies.

Data Acquisition

This project equips you with web scraping and API skills to collect, explore, and transform real-world data, empowering you to build your own custom dataset and unlock valuable insights.

Analytics toolkit

Master data-driven decision-making, leveraging BigQuery for advanced analytics, visualising insights in Looker Studio, and managing data in Google Sheets.

ADVANCED SKILLS FOR ANALYSTS

Mastering Python’s Scikit Learn library will allow you to unearth hidden patterns with unsupervised machine learning. You will also return to SQL, and explore some truly advanced problems, designed to prepare you for the technical interviews you will undergo after the bootcamp. Get ready to ace your data analytics journey!

What you will learn:
Unsupervised Learning
Understand the practical applications of clustering and have fun automating the creation of playlists with k-means algorithms.
SQL Interview prep
Practice some of the most advanced SQL questions that you might encounter in a technical interview. We will teach you how to nail it!

Unsupervised Learning

Understand the practical applications of clustering and have fun automating the creation of playlists with k-means algorithms.

SQL Interview prep

Practice some of the most advanced SQL questions that you might encounter in a technical interview. We will teach you how to nail it!

FINAL PROJECT

It’s time to put everything you have learned to use. Build a full-scale project from the ground up with teammates in conditions similar to those you will encounter in the tech industry. Design something for use in the real world and showcase it in your portfolio when you start applying for jobs.

BUSINESS ANALYTICS WITH SQL, TABLEAU AND PYTHON

Master data visualisation and presentations using SQL and Tableau, while learning Python for comprehensive data handling. Leverage libraries such as Pandas to read, clean, and explore real business data. This module not only equips you with data skills, it also lets you apply them in a business context, enabling you to find actionable insights and formulate business strategies in a professional setting.

What you will learn:

EDA, DATA VISUALISATION AND SEABORN

EDA (Exploratory Data Analysis) is a discipline you should master alongside data visualisation and presentations – and the Python library Seaborn will equip you with the skills for it. Learn how to take a jumbled mess of data and extract the value hidden within it!

What you will learn:

ANALYTICS TOOLKIT: SCIPY, BEAUTIFUL SOUP, APIS

Working with real statistics becomes easier once you equip yourself with Python’s Scipy and Beautiful Soup libraries, enabling you to engage with essential algorithms and data extraction. Integrating Google Sheets, querying large datasets with Big Query, and visualising data insights in Looker Studio are pivotal in translating data into actionable intelligence, but you will not stop there: this module is where you start learning about APIs and database management, taking your data manipulation skills online.

What you will learn:

A/B Testing

Generalising from data and testing hypotheses are two pillars of statistics. Learn how these old-school techniques are applied in modern data science with case studies.

Data Acquisition

This project equips you with web scraping and API skills to collect, explore, and transform real-world data, empowering you to build your own custom dataset and unlock valuable insights.

Analytics toolkit

Master data-driven decision-making, leveraging BigQuery for advanced analytics, visualising insights in Looker Studio, and managing data in Google Sheets.

ADVANCED SKILLS FOR ANALYSTS

Mastering Python’s Scikit Learn library will allow you to unearth hidden patterns with unsupervised machine learning. You will also return to SQL, and explore some truly advanced problems, designed to prepare you for the technical interviews you will undergo after the bootcamp. Get ready to ace your data analytics journey!

What you will learn:

Unsupervised Learning

Understand the practical applications of clustering and have fun automating the creation of playlists with k-means algorithms.

SQL Interview prep

Practice some of the most advanced SQL questions that you might encounter in a technical interview. We will teach you how to nail it!

What you will learn:

A bootcamp is more than just an online course: it’s a full-immersion in an interactive learning environment in which you and other students will be as closely supported as you will be actively challenged.

Learn by doing

Work on concrete projects based on real-life problems. Expand your skills with each new project.

Interactive online seminars

Start building real projects in live, instructor-led seminars alongside your fellow students.

Part of our world

Gain access to our virtual platform, and network with both pros and fellow students at any time of the day.

During the course, the structure of the weeks will vary to adapt to the learning content of the moment, but in general this is what a typical day looks like.
Student learning remote
09:00 – 09:15

Stand up​

Rise and shine! An all-hands meeting to discuss the topics of the day.​

09:15 – 12:00

Workshop​

Related to this week’s topic.

12:00 – 13:00

Lunch​

Time for a break to get some energy for the afternoon sessions.

13:00 – 16:00

Project work with instructor support

Work on your portfolio projects to impress your future employer.

16:00 – 17:30

Coding exercises​

Solve predefined coding exercises.

You won’t be alone

Our instructors are hands-on professionals from the world of data analytics, with a proven track record in the industry and a passion for helping others learn. Each bootcamp has its own designated instructor, who will act as your personal tutor and check on your progress from the first to the last of your 13 weeks with us. Our bootcamp is a challenge – but it’s a challenge you won’t have to face alone.

Miroslav Ljubicic

Full-Stack Web & App Development Graduate (Full-time)

WBS CODING SCHOOL offers several advantages, including […] exceptional instructors. In my experience, the instructors at WBS have been unparalleled.

Natascia Parisella

Full-Stack Web & App Development Graduate (Full-time)

Their dedication was evident in their clear explanations, personalized feedback, and constant support throughout the bootcamp.

Pedro Duarte

Full-Stack Web & App Development Graduate (Full-time)

The instructors demonstrated exceptional mastery of the subject matter and were approachable and willing to address all of our inquiries.
Meet your instructors
Career Preparation Program

Get job-ready with our structured Career Preparation Program: a comprehensive, self-paced online course combined with interactive soft-skill workshops.

1 on 1 Career Support

For up to 12 months after graduation, receive detailed feedback on your CV and LinkedIn profile and work on your personal branding with our Career Service Experts.

Networking

Join our community and guest speaker events and connect with industry experts, alumni, partners and employers looking for talent.

tuition and funding

100% Online

The bootcamp is fully remote. Over the course of 487 hours of live, instructor-led lessons, you will learn, work, and stay in touch with your fellow students, all from the comfort of your home.

7.500€

Apply now

You can call us

Remember, finding tuition is not something you have to do alone. Book a call with our Admissions Team by filling our application form, and let’s discuss your options together.

Web developers with laptop

If you are unable to settle the tuition upfront, no worries – there are various installment plans and third-party or governmental funding options which can cover the cost of the course.

Check our funding options ->

Upcoming Data Analytics Bootcamps

Jun 2025

Jun 11, 2025 - Sep 11, 2025
Group Closed
Open to apply until Jun 10, 2025*

Jul 2025

Jul 9, 2025 - Oct 9, 2025
Group Closed
Open to apply until Jul 8, 2025*

Aug 2025

Aug 12, 2025 - Nov 13, 2025
Group Closed
Open to apply until Aug 11, 2025*

*Deadlines for third party funding may vary.

Ready to start your career in Tech?

Simply fill out our application form for the bootcamp that interests you. This will enable you to schedule a call with our Admissions Managers, who can answer any questions you might have.

Apply now
start your career in tech

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Our bootcamps

Web & App Development
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One-Year programs

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info@wbscodingschool.com
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