Data Scientist – your digital future starts here

Are you a scientist, engineer, statistician, economist or similarly qualified? Do you like working with numbers and computers? Then the Data Scientist course is the right choice for you!

You will learn how to work with the Python programming language and use common methods and frameworks. In addition to the necessary tools, we will also show you the best practices for communication and visualisation, which are required in modern, international companies worldwide.

Your tasks in the company upon successful completion:

  • Investigate and analyse company data to determine which data to extract and process.
  • Constructive collaboration in teams with Data Engineers and Data Analysts.
  • Develop predictive models to anticipate data developments and trends related to the company's business activities
  • Modelling data analysis results to make them understandable, usable and actionable.
  • Query and analyse relevant data related to the production process, sales or customer records.

Data Scientist

Why are Data Scientists in high demand?

Increasing amounts of data are being collected and processed every day. This also changes the requirements for the qualifications of employees in a company who can handle, analyze, interpret, and draw conclusions from this exponential growth of data.

One example that everyone knows is Google Maps. Data from millions of smartphone users is collected, consolidated, and sent to data centers. Within seconds, this data is evaluated, processed, and sent back to the smartphone owners to present the fastest route.

And since the work is predominantly digital, you can work location-independently, decentralized from anywhere!

Working environment

Many employers are incredibly flexible in terms of location and working hours and even advertise that you can work from anywhere in the world.

Visualize working on your new project from a beach lodge in Bali – team meetings and contact with the client are digital. During nighttime in Germany, your day begins, and you have 8 hours to prepare the next presentation!

Just a dream? Your future starts here if you choose the bootcamp Data Scientist.

„Lesson times are monday to friday from 9 am to 6 pm“

Learning Content

Week Data Scientist
1 General understanding of technology
2 Phython
3 Phython
4 Phython
5 Databases, models and visualizations
6 Databases, models and visualizations
7 Machine learning
8 Machine learning
9 Softskills
10 Sustainability in IT
11 Exercise phases and Project
12 Exercise phases and Project

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The next Starting Dates

DATA SCIENTIST 17. 10. 2022 BOOK Now
DATA ANALYST 17. 10. 2022 BOOK Now
DATA engineer 17. 10. 2022 BOOK Now

 

Become a Data Scientist at a Glance

Employment support and cooperation with employers

The training is accompanied by job application support measures. Greenbootcamps has a network of companies that are looking for employees with the Data Scientist qualification.

These cooperation partners are involved in the application process from the beginning and accompany the participants during the bootcamps. Upon successful completion, they are guaranteed a permanent position.

Learning assessments

Within the course, corresponding learning assessments are planned (at the end of each section). Within the lessons, exercises conclude individual learning units.

Certificate

After successful completion, the participants receive a certificate from Greenbootcamps as well as a report card with their assessed performance.

The sustainability officer certificate is issued by Zero Footprints GmbH.

Learning and teaching aids

Participants work with digital learning materials that they can download via the learning management system. The learning management system is online and is available to all participants during the training. In advance, we will send you a laptop with an integrated video camera, pre-installed software, a separate monitor and a headset, which you get to keep after the course is completed.

Required software

MS Office, internet access, additional open source applications (such as MS Power BI Desktop, Hadoop, Anaconda), learning management system, online communication system.