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Data Part-Time Bootcamp Bootcamp
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Welcome to the Data Part-Time Bootcamp! Become a data gold miner and learn data processing and modelling skills, as well as techniques to best present your findings.
Course content
All content at a glance
Become a Data specialist - now finally also possible part-time
In this part-time, remote (live online) course, you'll learn what's required in modern businesses: identifying business issues, solving them with data, understanding risk, and assessing data modeling expectations. Hands-on, we teach you to work with stakeholders to understand business problems and turn them into mathematical tasks. You'll learn data visualization (using Tableau) and processing through APIs and SQL, as well as machine learning modeling. You can start directly as a data all-rounder and/or use the course as a stepping stone to data science, analytics, engineering or management.
The perfect course for career changers and Back to Work'ers
You will be mentored by 2-3 top coaches, receive 520 hours of effective instruction, real-world assignments, Q+A rounds, and 1:1 feedback sessions. With training in Scrum, agile methods and presentation, we prepare you ideally for the job. This also includes your digital journeyman piece, which you will work on in the team during the last 4 weeks. Through interview training and career coaching, you will also learn how to master upcoming job applications.
For whom is our Data Part-Time training suitable?
The Data Part-Time Bootcamp is a mix of Data Science and Data Analytics and is not only perfect for career changers, but also for all those who want to get back to work after parental leave. We not only refresh your knowledge, but also make you fit for the daily business. If you already have programming experience, a university degree or knowledge of statistics, the course is also suitable for you. Employees who deal with data sets and analyses will benefit just as much as people who aspire to an interface or management position. The course takes place in the mornings and on a part-time basis. We promote DiversITy, regardless of gender, sexual orientations, social and ethnic background, etc., and welcome all who are motivated: Let’s code! 🌈
Keyfacts
- Part-Time: 26 weeks (Mo – Fr, 9am – 1pm)
- Participants: approx. 15
- Coaches: 2 per bootcamp
- Locations: remote (live online)
- Language: English
- Graduation: Certificate "Data Practitioner"
Our coaches
Nico Steffen
Lead Coach Data Part-Time + Data Science
Tech Stack
SQL
Visualization
EDA
Machine Learning
Agile methods
Time Series
Model Deployment
Pandas
Github
Command line
APIs
Tableau
Spreadsheets
Python
Download free info material
The course content, application process, pricing & funding all in one pdf.
Starting dates
The next dates: Data Part-Time Bootcamp
By the way: remote bootcamp participants can also use our campus to learn together and exchange ideas. Just get in touch with us – happy to see you there!
Curriculum
This is what you learn in our Data Part-time Bootcamp
Kick-Off: We get to know each other and our tools
Data Roles
Spreadsheets
Forms
Statistics
Unix
Welcome to the Data Practitioner Bootcamp! Everything starts with a short introductory phase where you get to know the coaches and other course participants. After that, we start right away with learning the basic skills. This includes, for example, working with the Unix shell and, of course, setting up your MacBook.
It doesn't always have to be complicated, so you'll also learn something about working with spreadsheets and forms at the beginning. At the same time, we introduce you to modern and collaborative ways of working by using Git and Github. Are you still unfamiliar with the world of data in general? No problem: Together we will get to know different jobs and roles such as data analyst, data practitioner, data scientist and data engineer.
Advanced coding: let's look deeper
SQL
Python
Starschema
dbeaver
Pandas
The second phase is mainly about the tools of the trade. Here you will deal with the general basics of the Python programming language, in which you will write and execute your first small programmes. Afterwards, you will get to know Numpy and Pandas, the most important Python libraries for working with data. In parallel, you will become familiar with databases and learn about the possibilities of SQL – which will then accompany you during the boot camp.
Gaining useful insights from our raw data
EDA
Bias-Variance-Tradeoff
Machine Learning
Model Evaluation
It's getting exciting once again! In the third phase, we start with an extensive EDA project (exploratory data analysis). Here you have the chance to put your previously acquired knowledge to practical use: Evaluate an unknown data set in a targeted and efficient way to clarify relevant questions for a stakeholder - and also present this convincingly in a presentation. Afterwards, we come to the basics of machine learning: you will get to know and apply regression and classification models. We will then teach you model evaluation and what tradeoffs you need to consider when creating predictive models. You consolidate everything you have learned in a machine learning group project.
Using data to drive business success
Dashboards
Data Products
KPI
Agile methods
The fourth phase on the way to becoming a data all-rounder is about building a data-driven mindset and living the culture around it. In addition to the basics of agile project management, we will teach you what data products are and what it means to manage them as a product owner. In addition, you will get to know different KPIs and understand what role they have for stakeholders. To make data accessible and understandable for laypeople, you will create visualization dashboards using modern tools.
More complex machine learning models
Clustering
Decision Trees
KNN
Ensemble Methods
This phase of our bootcamp is all about machine learning. Here you will learn about other regression and classification models and understand how fairly simple models can be linked to solve more complex problems. In addition to the theory of how the models work, you will of course also learn about their practical application. The focus here is on understanding which challenges the individual models are particularly suitable for. This phase is also completed by a larger project in which you can try out and demonstrate what you have learned.
Model deployment, external data & capstone phase
Model Deployment
APIs
Digital capstone project
The final! You're almost there. In this phase you will learn how to use your developed models online and connect them to external data sources. This is followed by the four-week final project: In a team of three to four people, you will develop a solution to a problem of your own choosing and present it. You will apply all of your technical and agile knowledge and learn new ones.
Congrats, you did it! 🙌
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Education voucher
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Re- & Upskilling
These steps are important to take the course
Whether you have dropped out of university, are on short-time work, are threatened with unemployment or have lost your job, your time will be well spent if you become more digital. Please note that the process of getting an education voucher from the employment agency can take a relatively long time. We therefore advise you to follow the procedure below.
Step 1
Register as a jobseeker early
In order to receive your education voucher for your retraining from the employment agency, the JobCentre or the Labour Office, you should register as a jobseeker at an early stage. It is therefore very important that you first make an appointment with the relevant office. It's best to do it now!
Step 2
Get your educational offer from us
The next step on the way to your IT training voucher is quick and easy: Contact us! We will create an official training offer for you that you can then submit to the employment agency, the job centre or the employment office.
Step 3
Apply for the training voucher
Now it's down to the nitty-gritty: With the training offer we have created, you now go back to your responsible office and apply for your training voucher. As soon as it is approved, you can start your new career with us. We look forward to seeing you!
FAQ
Really good questions, helpful answers
You still have questions about the training, the prices, the financing, etc.? Then take a look here or contact us directly.
In the first days, we will go through the basics of working with a Macbook, the basics of coding in Python and other stuff. However, you should already have a good foundation you can build on. If you have never done any programming before, we suggest you start with that and start the bootcamp after you gained first experience. When you are unsure whether your skills are sufficient, just make an appointment with our admission team, we are happy to help you!
Yes! … maybe. If you already have a clear understanding of the direction you see yourself getting into (i.e. more data analysis or data science) then you might look into the specific boot camps we offer for those topics. However, if you are not sure yet in which direction you want to develop, the Data Part-Time course might be a perfect way of figuring that out. The goal here is to give you a broad overview and perspective on what is out there and give you a great starting point for further development. We also want to enable you to take over a management role in the data world.
We strongly believe collaboration beats individual work, and that teams always will be stronger than the parts they are made from. However, we also believe in pragmatic solutions. Hence, the idea of the bootcamp is for everyone to be there all the time – as far as this possible. We always try to find ways to enable everyone to participate, so you miss a lecture? We try to make a recording. You miss an exercise? You can repeat it in your own time. However, if you already know that you will miss a significant part of the time, please discuss with our admission team if it is still feasible to join.
Actually, it is super helpful to have some extra time to revisit stuff, try out more things, or work through additional resources. For most of our topics, we can help you with extra exercises. However, we can’t promise you to always be able to offer you extra assignments or assistance.
Quick answer: no. We do offer a course where we go into these more advanced machine learning models: our data science bootcamp. The practical experience shows, however, that in the most of the jobs out there, these modeling techniques only play a small role. Hence, we made the decision to focus on more relevant, down-to-earth things in the Data Part-Time course that you will almost certainly need. However, if you really want to, it’s possible to use some of the advanced models in one of the projects.
What are you waiting for?
Our Student Admissions team is happy to talk with you, answer your questions, and advise you. Get in touch with us!
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