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Preparation for further training as a Data Scientist
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.
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:
Objective:
- Getting to know the basics of linear algebra
Content:
- Vectors, matrices and tensors
- Vector and matrix multiplication
- Dot product
- Metrics and norms
Objective:
- Calculating similarity of products using the basics of linear algebra
Content:
- Cosine similarity
- Euclidean norm
- Product recommendation based on similarity
Objective: Getting to know the most important discrete and continuous probability distributions
Content:
Objective: Using Monte-Carlo algorithms for simple simulations
Content:
You would like this training detached from the entire training program and without an education voucher complete?
We offer flexible payment and financing options for self-paying clients. Please contact directly to our consulting teamfor more information.
Find your training program with us and start your data career!
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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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