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.
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.
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:
The demand for data experts is high. Around 4 million data experts will be needed in Europe by 2025. In Germany alone, 149,000 IT jobs are currently vacant. The demand for data and AI experts in particular continues to grow enormously.
But a decision for a data career is so much more than just a safe decision for the future! As a data expert, you deal with powerful, socially relevant topics, are a tech professional, and are communicative and creative at the same time. The profession is varied, can be combined with most other professions and offers an attractive salary. And most importantly, with us it can be learned unerringly!
Yes, after successful completion of the training, you will receive a certificate of completion from us that you can show in your job applications. Data Analysts and Data Scientists are desperately sought after in many business sectors. Even without relevant work experience, your chances of finding an entry-level job are good. In addition, there are analysts in almost every industry who have different job titles, but the skills you need are the same as those of a data analyst or data scientist.
Yes, our online training courses are designed to offer you the greatest possible flexibility. In general, we recommend that you plan six to eight hours per week for learning. When you want to schedule this time is up to you and is not prescribed by us. In our career paths, the Data Analyst and Data Scientist course, we offer live webinars where you can ask our mentors questions, but you don't have to attend if it doesn't fit into your schedule.
(Participants in our sponsored training courses are excluded. These must attend a fixed number of hours per week and are obliged to participate in the live webinars).
StackFuel GmbH
Nostitzstrasse 20
10961 Berlin
info@stackfuel.com
030 / 544 533 420
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