Your safety is important! Find all the details of our response to COVID-19 ❯
Menu
FORMATS | HYBRID 100% ONLINE |
FULL-TIME | Monday to Friday |
LANGUAGE | English |
The Data Science course is designed as your entryway into one of the most cutting-edge and progressive industries of the moment, as you will learn how to read and manipulate data, and how to get computers to ‘think’ by themselves.
The emergence of the digital economy has flooded companies with raw data which traditional tools are not equipped to process. This has led to Data Analysts becoming among the most sought-after and flexible professionals, able to find employment as Business Analysts, Financial Analysts, Marketing Analysts, Operations Analysts, Web Analysts, Product Analysts, and many more. More positions, from consultancy to machine-learning engineering, also become accessible with a solid qualification in Data Science.
This course will equip you with both the concepts and the practical skills to land your first job in the most dynamic branch of tech.
Source: Glassdoor.de
Data scientists are kind of like the new Renaissance folks, because data science is inherently multidisciplinary.
Many of the concepts you will learn will be new and unfamiliar to you. The material we’ll present you with will push you outside of your comfort zone. This is natural. Embrace it.
Before you can interpret data, you must gather it, process it, compare it. This is called quantitative work, and while it does not demand any special aptitude or preparation, it does require the willingness and the patience to work with numbers.
Our bootcamp is open to international students, and it is in English. You don’t have to be a native speaker, but you should know the language well enough to be able to follow a class, and communicate with your fellow students, without slowing everyone else down.
Our virtual platform, where you will meet your instructors and study alongside your peers, is online. To join us, you will need a computer or a laptop connected to the Internet, along with speakers/headphones and a microphone.
Data Science requires patience and hard work, yes. But it’s not something only the most brilliant minds of this world can do, and it’s fine if you haven’t done any mathematics since school.
You don’t need any qualifications related to computer science or programming. Our bootcamp assumes no prior knowledge and covers the basics of the field in the first few weeks.
You are here to learn together with others, not to outdo them. A collaborative, friendly attitude is essential, and your only benchmark for progress should be yourself.
You will learn how to read, organise and leverage the enormous amount of data generated by business interactions online. From the mathematical theory and the concepts underlying data science, to practical implementations allowing you and your company to predict a system’s behavior, this course covers a comprehensive and constantly updated range of technologies.
Expect to graduate with employable skills not just in interpreting and visualizing data, but in teaching computers to do that for you: the course includes a thorough induction in machine learning, an area of artificial intelligence which is one of the most rapidly-evolving fields of programming.
Work on concrete projects based on real-life problems. Expand your skills with each new project.
Analyze and interpret data in live, instructor-led seminars alongside your fellow students.
Gain access to our virtual platform, and network with both pros and fellow students at any time of the day.
Prior to the beginning of the bootcamp, we will give you access to our Primer. This is an introduction to the basic concepts you will be dealing with in your classes, and it is designed to be interactive and inclusive of exercises. The purpose of the Primer is to make sure that every student can begin the bootcamp with some core notions already in place, so that everyone can hit the ground running.
Learn how to read, clean, explore and visualise data from real businesses to deliver actionable recommendations and craft business proposals.
SQL & Tableau
Query Relational Databases with SQL and build interactive visualisations with Tableau to support data-driven decision-making.
Git & Github
Set up your data science portfolio.
Intro to Python
Write loops and functions, read and manipulate all kinds of data with Python.
Python – Pandas: data cleaning & transformation
Real-world data never comes clean and ready to summarize. Learn how to extract value from the mess!
Python – Matplotlib & Seaborn: data viz
Turn the (finally clean!) data into a story to craft a compelling business proposal and drive actions with your analysis.
Learn the real use-cases of traditional hypotesis testing (A/B testing to optimise web UI/UX). You will use the modern tools for experimenting, but also understand the underlying statistical concepts.
Learn how to collect unique data from the internet using APIs, and use the power of cloud computing to build data pipelines from scratch.
Inferential Statistics
Generalizing 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 Collection: APIs.
The internet is full of APIs with real-time data, and websites with valuable content. Use Python to interact with these APIs and collect the data.
Cloud & SQL
You learned to query the databases in Module 1, now it’s time to create one. Build a pipeline to bring data from the internet directly to your database.
Train and tune ML models to make predictions on housing prices and cluster songs to automate the creation of playlists.
Unsupervised Machine Learning
Use Machine Learning to discover the hidden, underlying structure of the data. Use these methods to group songs into clusters based on their audio features, and tune your model so that these groups resemble musical genres.
Supervised Machine Learning
Apply Machine Learning to bring value to the world of real estate by training, tuning and interpreting algorithms like K Nearnest Neighbors, Random Forest and Support Vectorn Machine.
Build one of the most popular Data Science products: a recommender system. Then, get ready for data interviews with one last push of SQL advanced exercises.
Recommender Systems
Emulate Netflix’s recommender system and learn how to create a hybrid algorithm that can deliver customized content to each user.
Advanced SQL
Practice some of the most advanced SQL questions that you might encounter in a technical interview. We will teach you how to nail it!
Choose a topic that suits your career objectives to master and broaden the skills that you will need in your job applications. Create a top-notch unique data portfolio with the guidance of our instructors.
At the end of the bootcamp, our students are given the opportunity to present their final projects to our entire community as part of our grand Demo Day event. They can also have their presentation recorded on video, with a view towards sharing it with prospective employers. Click on the videos to see for yourself what their projects look like and what level our students have reached. Remember – in 15 weeks, you will be able to do the same!
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 week looks like. Please note that the course is also available in a part-time format if the following schedule is not suitable for you.
| Monday | Tuesday | Wednesday | Thursday | Friday | |
| 09:00 |
Rise and shine! An all-hands meeting to discuss the topics of the day
Stand up
|
||||
| 09:15 | Intro to the weekly project |
Do not let yesterday's learnings fly away: here's a quick recap with the instructor to make sure we move on to the next topic without carrying any misconceptions with us.
Yesterday's work review andLearn about Data Science topics, from Relational Databases to Recommender Systems, in a live session with our experienced instructors.
Data Science lecture |
Work as a Data Scientist in one of our guided projects with real-world datasets and scenarios. Build a top-notch portfolio and prepare an awesome presentation for next Friday.
Project work with instructor support
|
Do not let yesterday's learnings fly away: here's a quick recap with the instructor to make sure we move on to the next topic without carrying any misconceptions with us.
Yesterday's work review andLearn about Data Science topics, from Relational Databases to Recommender Systems, in a live session with our experienced instructors.
Data Science lecture |
Work as a Data Scientist in one of our guided projects with real-world datasets and scenarios. Build a top-notch portfolio and prepare an awesome presentation for next Friday.
Project work with instructor support
|
| 12:00 | Lunch break | ||||
| 13:00 |
Practice the concepts covered in the Lecture. Gain coding syntax fluency by solving as many challenges as you can.
Coding exercises
|
Work as a Data Scientist in one of our guided projects with real-world datasets and scenarios. Build a top-notch portfolio and prepare an awesome presentation for next Friday.
Project work with instructor support
|
Practice the concepts covered in the Lecture. Gain coding syntax fluency by solving as many challenges as you can.
Coding exercises
|
Work as a Data Scientist in one of our guided projects with real-world datasets and scenarios. Build a top-notch portfolio and prepare an awesome presentation for next Friday.
Project work with instructor support
|
Project presentation |
16:00 18:00 |
Work as a Data Scientist in one of our guided projects with real-world datasets and scenarios. Build a top-notch portfolio and prepare an awesome presentation for next Friday.
Project work with instructor support
|
1:1 Project checkpoints | Data Visualization Workshop | 1:1 Project checkpoints / Presentation Rehersal | Week Recap / Retrospective |
Our instructors are hands-on professionals from the world of Data Science, 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 15 weeks with us. Our bootcamp is a challenge – but it’s a challenge you won’t have to face alone.
Get job-ready with our structured Career Preparation Program: a comprehensive, self-paced online course combined with interactive soft-skill workshops.
Receive detailed feedback on your CV and your LinkedIn profile and work on your personal branding and career strategy together with our Career Service Experts.
Join our community and guest speaker events and connect with industry experts, alumni, partners and employers looking for talent.
Students who complete our course will be awarded a WBS CODING SCHOOL Graduation Certificate. The document testifies to future or potential employers the acquisition of precise coding skills in accordance with the selected course. Expect this to become a staple of your tech-related CV or professional profile.
A guide for complete beginners who are wondering if this is the right discipline for them
So graduation is over and it’s time to work – what to expect?
December 13th, 2022
14:00 – 15:00 CEST
Meet our Data Science expert Joan and use the chance to ask him all the questions you have about our Data Science Bootcamp.
WHEN: December 13th, 2022
14:00 – 15:00 CEST
WHERE: Online
Please register at Meetup to attend this online event.
Our pioneering hybrid concept offers a unique learning experience which lets you enjoy the comforts of remote study and reap the benefits of learning on campus, all in a single course. For those who do not wish to travel to Berlin, we also offer a more established learning protocol in the form of an online-only course, designed to set new industry standards and optimised to the needs of those studying from home.
For the first 12 weeks you will study remotely on our virtual learning platform together with your classmates. Live and interactive coding classes led by professional instructors, lectures, workshops, team coding challenges and much more – and you decide whether to join from home, from your family retreat, or from your favorite neighbourhood Cafe.
And for the final 3 weeks you can choose between coming to our Berlin Campus or continuing remotely.
| HYBRID | 100% ONLINE | |
| Live, instructor-led training | ||
| Dedicated lead instructor | ||
| Build your portfolio with individual and group projects | ||
| Lifelong membership in our tech community | ||
| Attend from anywhere with internet access | First 12 weeks | |
| Meet your classmates on campus | ||
| Accommodation during campus phase | ||
| 3 daily meals during campus phase |
Our bootcamps in Data Science last 15 weeks, the last 3 of which can be on campus or online, depending on your preference. Please find the starting dates for the next bootcamps below.
Our application process is designed to guide you, gently but clearly, into the course you want to take. Just follow these three steps:
(2 min)
Fill in our Application Form with your personal details and get immediate access to the coding challenge.
(10 min ~ 30 min)
Solve our data challenge. The purpose of this step is to allow us to evaluate your level of experience, and of course to ensure we are enrolling motivated students. If you find yourself struggling, just send us a line. We’re here to help, particularly if you’re inexperienced!
(30 min)
Time to get to know each other! Schedule a 30 minute interview with one of our Admission Managers and introduce yourself. We’ll want to know a little bit more about you, particularly what makes you get up in the morning and why you want to learn to code. You can also ask any questions of your own, or clarify anything you’re still uncertain about.
Get in touch with us, and we will be more than happy to answer all of your questions.
We will get back to you as soon as possible.
Your WBS CODING SCHOOL Team
