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  • TRAINING

Introduction to Data Science.

Preparation for further training as a Data Scientist

Part time
Part time
German, English

The goal of the introductory course is to provide you with essential prerequisite knowledge and skills that you need for further education in data science. You will learn important mathematical basics, such as the handling of vectors, matrices and probabilities, which are necessary for the understanding of data science methods.

You will implement what you have learned with the Python programming language in connection with application scenarios in the field of data science. The training thus also serves as a test of your skills in dealing with the Python programming language.

The advanced training is suitable for you and your career aspirations if you have a degree, ideally in the fields of mathematics, computer science, natural sciences, technology, business administration, (business) information technology or have a comparable qualification or previous experience.

In this training you will learn:

Python Basics
Linear algebra
Statistical basis
  • Creation of structured scripts in the Python programming language
  • Generation of recommender systems using the Python library numpy
  • Recognition of the most important probability distributions
Download Curriculum
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Table of contents

1
Introduction to the learning environment
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Objectives:
- Getting to know and converting the most important data types
- Writing code according to the DRY principle
- Organizing and preparing data in DataFrames

Content:
- Welcome session
- Course schedule and look at building blocks
- Introduction to the learning environment
- Python basics:

  • Variables and data types
  • Functions and methods
  • Flow control commands
  • numpy arrays
  • Pandas DataFrames

2
Linear Algebra Part 1
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Objective:
- Getting to know the basics of linear algebra

Content:
- Vectors, matrices and tensors
- Vector and matrix multiplication
- Dot product
- Metrics and norms

3
Linear Algebra Part 2
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Objective:
- Calculating similarity of products using the basics of linear algebra

Content:
- Cosine similarity
- Euclidean norm
- Product recommendation based on similarity

4
Statistical Basics Part 1
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Objective: Getting to know the most important discrete and continuous probability distributions

Content:

  • Probabilities
  • Discrete probability distributions:
    • Binomial distribution
    • Negative binomial distribution
    • Poisson distribution
  • Continuous probability distributions:
    • Uniform distribution
    • Normal distribution
    • Exponential distribution
  • Mean and standard deviation
  • Making predictions with distributions

5
Statistical Basics Part 2
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Objective: Using Monte-Carlo algorithms for simple simulations

Content:

  • Law of large numbers
  • Central limit theorem
  • Monte-Carlo simulation

This training is part of the training programs:

  • Data Scientist Training Program
  • Data Analyst Training Program

In this training you will learn:

Python Basics
Linear algebra
Statistical basis
  • Creation of structured scripts in the Python programming language
  • Generation of recommender systems using the Python library numpy
  • Recognition of the most important probability distributions
Download Curriculum

Your benefits with StackFuel.

100 % Financed

Our training programs are 100% free of charge for you with an education voucher from the Federal Employment Agency.

80 % Practical content

Thanks to the high practical component, you will learn all the skills you need for everyday work in your future data job.

Flexible

Completely online and full or part-time, you can train in the way that works best for you.

Supported by mentors

Our data experts are always in contact and offer support and motivation.

Final certificate

After completing the training program, you will receive our recognized certificate to prove your skills.

Career Service included

Our Career Service supports you with advice and coaching when you start your data job.

What our graduates say.

Over 8,000 graduates have already completed training in data and AI skills at StackFuel. Here, some of them talk about their experience:

Lisa Ambrosi de Magistris Verzier
Data Analyst
Interone
"I particularly liked the well-structured curriculum and the clearly conveyed content. I now feel confident in using Python for data analysis without any previous knowledge. The dedicated career service was also a great support."
Data Analyst Training Program
Beatrix Bauer
Junior Financial Data Engineer
Telefonica Germany
"With StackFuel, I was able to learn at a time that suits me, at my own pace and in a place where I feel comfortable."
Data Scientist Training Program
Amirhossein Rahimi
Data Scientist
zaplinace GmbH
"The practical, project-oriented approach makes the courses very interesting and has made my learning progress much easier."
Data Scientist Training Program
Daniel Hermann
Geodata analyst
GI-CONSULT GmbH
"The competent and friendly lecturers and the examples of content made me enjoy data-driven programming. The certificates (from StackFuel) are a real plus on my CV - and the skills anyway!"
Data Scientist Training Program
Liudmila Litger
Data Analyst
Aviv Group (HomeToGo)
"I was particularly enthusiastic about the practical projects. It was as if I had already gained practical experience before my first day at work."
Data Analyst Training Program
Marco Fischer
Data Scientist
mexxon Group
"The intensive work with important Python libraries and the concepts and mathematical basics taught were very good preparation for my new job!"
Data Scientist Training Program
Farbod Khiawi
Client Operations Consultant / Success Manager
AON
"What I liked best were the regular group sessions with participants and tutors. These were very exciting and beneficial for both learning and motivation."
Data Scientist Training Program
Dr. Pinar Toker
Data Scientist
Eraneos Analytics
"The hands-on, real-world problems at StackFuel helped me master data analysis techniques and Python programming. The focus [...] on industry-relevant skills gave me the confidence and know-how I needed for my job search."
Data Scientist Training Program

Get personal advice now.

We will help you choose the right training program for your data career and advise you on the path to funding.

Free of charge, without obligation and simply over the phone.

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+8,000 graduates
93 % Completion rate
AZAV-certified

FAQ

Our training courses are developed and produced by our own team of data scientists and subject matter experts, who provide you as a participant with personal mentoring during the course. We not only focus on realistic and practical content, but also ensure that all your questions are answered in a personal exchange and thus guarantee your learning success.

Thanks to our "learning-by-doing" principle, you will learn in our interactive learning environment with realistic data sets and real business cases from the industry, preparing you perfectly for a successful career start in a data job.

With StackFuel, you can rely on a market leader with Germany's most innovative learning platform to develop your data skills in a practical way. In certified training programs, you learn online, flexibly and with 80 % of practical content.

This will enable you to make a lateral entry as a data analyst or data scientist and learn how to use data and the basics of artificial intelligence professionally. Your new data career starts with your online training at StackFuel.

Data has become an integral part of our (professional) lives. In almost all areas, data helps you to better understand facts and make more precise decisions. Data skills are the key to being able to use and interpret data correctly. Even though you may not realize it, you work with, interact with and generate data every day.

This data is becoming increasingly important for companies and is the basis for decisions and business models, which makes data professionals incredibly valuable for companies.

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