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 |
Become a Data Scientist at a Glance
Length, content, schedule
Length of the course: 60 days with 9 teaching units (TU) = 540 TU
|
Full Data Scientist CourseWeek 1-12 |
Teaching Units (TU) |
|
General technological understanding |
54 |
|
Python |
144 |
|
Databases, models and visualisation |
112 |
|
Advanced skills |
36 |
|
Machine Learning |
72 |
|
Green IT |
27 |
|
Exercises |
54 |
|
Final project |
41 |
|
Sum of teaching units |
540 |
Course objectives
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.
Target group
This course is aimed in particular at qualified professionals who do not have any experience with programming or the Python programming language.
Prerequisites / Level of assistance
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).
Methodical-didactical concept
The following modules form the basis of the knowledge transfer:
- Practical classes with lecturer
- Exercises accompanying the lessons (independent learning)
- Team-oriented group work
- Practical examples and exercises
- Learning assessments
Virtual face-to-face teaching via Teams or similar VC (Virtual Classroom). Participants: work on two screens and can see the trainer at all times and communicate directly with him/her via voice or chat.
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.