Since the work is predominantly digital, you can work location-independently, decentralized from anywhere! 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.
Duration of the Bootcamp: 12 weeks
Lesson times of the course: Monday – Friday | 9 am to 6 am (GMT)
Total: 540 learning units.
*1 LU = 45 min
In this course, participants receive practical training and user-related skills in the subject area of the Data Scientist. The Data Scientist uses statistical methods and machine learning to make predictions and answer important business questions. The course presents a variety of content and competencies needed to meet the professional requirements of a Data Scientist.
This course is aimed in particular at qualified professionals who do not have any experience with programming or the Python programming language.
The following modules form the basis of the knowledge transfer:
Hybrid training (On-site classroom training or virtual face-to-face teaching via Teams or similar VC (Virtual Classroom).
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.
Upon successful completion, the participant will receive an internationally valid certificate from Greenbootcamps as well as an evaluation of their performance. Furthermore, you will receive a certificate as ITIL® 4 Specialist: Sustainability In Digital & IT.
You should possess basic IT skills – such as the use of Office products and the internet. Furthermore, participants should be proficient in the language used in the course (English).
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.
MS Office, Internet access, advanced open-source applications (such as MS Power BI Desktop, Hadoop, Anaconda), learning management system, online communication system.
Within the course, corresponding learning assessments are planned (at the end of each section). Within the lessons, exercises conclude individual learning units.
540 Learning Unit in total, 1 LU = 45 min
Data Structures in Python
Once you click apply, our admissions team will contact you to arrange a call to answer your questions and explain our application process. if you have any questions feel free to contact us.