Data
Science
Inform yourself here about our Data Science track. Start your six months learning journey as a part of the next batch in the city of your choice. Acquire state-of-the-art tech skills by using one of our individualized tracks, local events, and professional mentoring. Within six months you will finish a tech project and be rewarded with our Digital Shaper certificate.
Data Science
Time
6 months program
5 hours per week
Certificate
Receive a graduation certificate
by presenting your project
Participants
Over 250 graduates
Data Science
Time
6 months program
5 hours per week
Certificate
Get a graduation certificate by submitting a project
Participants
Over 250 grads
Data
Science
Time
5 hours per week
6 months program
Certificate
Get a graduation certificate by submitting a project
Participants
Over 250 grads
Inform yourself here about our Data Science track. Start your six months learning journey as a part of the next batch in the city of your choice. Acquire state-of-the-art tech skills by using one of our individualized tracks, local events, and professional mentoring. Within six months you will finish a tech project and be rewarded with our Digital Shaper certificate.
Why Data Science?
“Data is the new oil” - a catchy phrase already said in 2006, which becomes more important over time. What makes companies like Google, Baidu or Amazon so powerful? It’s the amount of data they possess and the employees that are able to analyze it. The data volume that is created, as well as the number of companies that want to use this data, grow exponentially every year. There are beautiful and interesting insights hidden in this sea of ever increasing data, waiting to be discovered - and Data Science is the key to decipher all these hidden insights. Therefore the demand for data scientists is increasing. Data Science is a pretty versatile field. Data Scientists are demanded in almost every imaginable field, such as healthcare, banking, logistics, e-commerce and many more. Hence, as a data scientist you are able to solve a lot of different problems, gain important knowledge and deliver value to other people and your business.
What Will You Learn?
How to apply machine learning models to solve problems like churn prediction or customer segmentation
Exploration of raw data to gain useful insights
General programming knowledge in R or Python
How to present your results in a structured and visually appealing way
More about the Track
It doesn't matter if you are a beginner or already have some experience. The program is designed so that you can choose which level of experience you want to start with, whether you want to do hands-on or theory courses and whether you prefer to program in Python or R. You decide. Both - the hands-on as well as theoretical - tracks include basic programming exercises at first to get to know the chosen programming language. The hands-on track is made for people who want to learn how to quickly apply machine learning algorithms to solve problems without a dive into the mathematical background. The theory track includes materials and exercises which covers the theoretical (mathematical) background of several algorithms like linear and logistic regression, neural networks or dimensionality reduction. The tracks also include TechLabs Notebooks where you can deepen the knowlegde and practice the skills you learned during the online courses.
What our partners say
TechLabs allows participants the chance to learn something innovative and to connect directly to companies. A great combination and partner!
Katharina Schamber
Application Development Specialist @
Projects From Our Participants
Financial Planner
An application that keeps track of your entire financial transactions.
Web Development
Data Science
The zeb Project
An application that recognizes the brand and model of a car by taking a picture and identifying key statistical features of the used car.
Artificial Intelligence
Web Development
Data Science
War of Talents
A platform that wants to revolutionize job selection process of employees and the employer.
UX Design
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