beginner to advanced - how to become a data scientist
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beginner to advanced - how to become a data scientist

master data science fundamentals for machine learning, deep learning and neural networks


So you want to become a data scientist hm? But you do not know how and where to start?

If your answer to these question is : Yes that’s correct, then you are at the right place!

You could not have chosen a better time to introduce yourself to this topic.Data science is the most interesting topic in the world we live in and beside that also highly rewarding. It will shape our future and therefore it’s better to act now than regret later. Any kind of machine learning (self driving cars, stock market prediction, image recognition, text analyzing or simply getting insights of huge datasets - it’s all part of data science.

The jobs of tomorrow - self employed or employed will encounter exploring, analyzing and visualizing data - it’ s simply the “oil of this century”. And the golden times are yet to come!

With this in mind it’s totally understandable that smart people like you are searching for a way to enter this topic. Most often the biggest problem is how to find the right way master data science from scratch. And th****at’s** what this course is all about.**

My goal is to show you and easy, interesting and efficient way to start data science from scratch. Even if you have barely started with coding and only know the basics of  python, this course will help you to learn all the relevant skills for data science!

Together let’s learn, explore and apply the core fundamentals in data science for machine learning / deep learning / neural networks and set up the foundation for you future career…

Can’t wait to start coding with you! Meet me in the first lecture!



Who is the target audience?
  • beginners with no prior knowlege
  • beginners who have acquired some knowledge
  • students who are interested in a data science career
  • students who want to acquire a solid foundation to dive into machine learning and neural networks