Data Scientist – your digital future starts here

Who can apply for our Data Science Bootcamp?
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

Data Scientist

Why are Data Scientists in high demand?

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.

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.

BECOME A DATA SCIENTIST AT A GLANCE

Duration, Content, Temporal, Conception

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

Full Data Scientist Course (Week 1-12)
Learning  Units (LU)
General technological understanding
27
Python
144
Databases, models and visualisation
72
Machine Learning
112
Advanced skills
36
Green IT
27
Exercises
45
Final project
77
Sum of learning  units
540

START NOW!

Next starting date: 24.07.2023 (GMT)

More about the course

Data-Scientist Course

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:

  • Exercises accompanying the lessons (independent)
  • Team-oriented group work
  • Practical examples and hands-on exercises
  • Learning success checks

Hybrid training (On-site classroom training or virtual face-to-face teaching via Teams or similar VC (Virtual Classroom).

  • Bootcap prepayment: If you pay your boot camp in full in advance, you will receive an 8% discount on the seminar fee.
  • Bootcamp installments: To reduce your liquidity burden, we offer you to pay the boot camp in three monthly installments.
  • Bootcamp schoolarship: We work with a network of business companies. They are interested in hiring newly qualified graduates as trainees or junior consultants and – assuming the interview is successful – they will contribute part or all of the seminar fees.
  • Education Voucher (Bildungsgutschein): If you are unemployed or threatened by unemployment, you can – if you have a German residence permit – get up to 100% of the costs subsidized through an education voucher. (Bildungsgutschein).

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.

Data-Scientist Bootcamp

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.

START NOW!

Next starting date: 24.07.2023 (GMT)

Teaching content

540 Learning Unit in total, 1 LU = 45 min 

Data Scientist fullstack bootcamp
Learning Unit (LU)
General understanding of technology ​​
27
General understanding of technology ​
  • Setting up Python Environment
  • Unix
  • Git, Github
  • Intro on DA, DS, DE
27
Python training session
144
- Python Programming (Basics)
  • Intro to Jupiter lab
  • Coding best practices

Basics:

  • Numeric variable types
  • Strings
  • If statement (if, elif, else)
  • Loops (while, for)

Data Structures in Python

  • Lists
  • Sets
  • Mutability
  • Dictionaries
  • Comprehension
72
Python Programming (Advanced)
  • Functions
    • Introduction to functions
    • Function definitions
    • Calling functions
    • Lambda functions
    • Function challenges
  • Introduction to pandas
    • Pandas functionalities
    • Pandas visualization
    • Exercise on functionalities and visualizations
    • More exercise using data
    • Data frames and combining data frames.
  • Introduction to Numpy
    • Numpy functionalities
    • Exercise on Numpy functionalities
    • Dealing with Data and Time data
72
Databases, Models und Visualizations
72
SQL
27
Data Visualization
  • Matplotlib
  • Seaborn
  • Plotly
27
Task on visualization using data
9
Data visualization: Tableau
9
Machine Learning models
112
EDA and modelling
  • Concepts of different regression and classification models
  • Evaluation matrices for regression and classification models
  • Time Series model
  • Natural Language Processing (NLP)
  • Implement the above ML models vs use Python packages
112
Advanced skills
36
AWS/Azure cloud
9
Apache Airflow
12
Spark
12
How to use ChatGPT
3
Green IT
27
Practice days spread over the course
45
Final project
77
Sum of learning units
540

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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.