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Skillshare

The No-Code Data Science Masterclass for Business Analysts & Executives

via Skillshare

Overview

Curious about data science but not great at programming yet?

Data science is a powerful tool that can help businesses make better decisions and stay ahead of the competition. But, understanding data science can be overwhelming, especially if you don't have a coding background. That's why I've created this class, specifically for beginners and intermediate students who want to learn the core concepts of data science.

In this class, you will learn the key principles of data science, including how to manage and work with data scientists. We will cover the expectations, steps, and vocabulary needed to make data-driven decisions. This class is tool-agnostic and can be applied in multiple contexts, regardless of whether you use Excel, Tableau, or Python.

This class is not focused on programming or software but rather on the general concepts of data science. If you'd prefer an applied class and already know Python, I recommend this class on Skillshare.

If you're looking for an applied class and already know Python, we recommend checking out our class on Skillshare. But, if you're looking to gain a better understanding of the principles behind data science without a coding background, this class is perfect for you.

So, sign up today and start your journey to becoming a data-driven expert!

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Who am I?

Jesper Dramsch is a machine learning researcher working between physical data and deep learning.

I am trained as a geophysicist and shifted into Python programming, data science and machine learning research during work towards a PhD. During that time I created educational notebooks on the machine learning contest website Kaggle (part of Alphabet/Google) and reached rank 81 worldwide. My top notebook has been viewed over 64,000 times at this point. Additionally, I have taught Python, machine learning and data science across the world in companies including Shell, the UK government, universities and several mid-sized companies. As a little pick-me-up in 2020, I have finished the IBM Data Science certification in under 48h.

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Other Useful Links:

My website & blog - https://dramsch.net
The weekly newsletter - https://dramsch.net/newsletter

Twitter - https://twitter.com/jesperdramsch
Linkedin - https://linkedin.com/in/mlds

Youtube - https://www.youtube.com/JesperDramsch
Camera gear - https://www.amazon.com/shop/jesperdramsch

Syllabus

  • Introduction to No-Code Data Science
  • Class Project
  • What is Data Science?
  • On Asking Good Questions
  • On Asking Bad Questions
  • Obtaining Data and Labels
  • Understanding Exploratory Data Analysis
  • Intro to Machine Learning
  • Proving Yourself Wrong
  • Data Visualization
  • Operationalizing Data Pipelines
  • Dashboarding
  • Communicating Results Effectively
  • Understanding Risk in Data Science Projects
  • Conclusion

Taught by

Jesper Dramsch, PhD

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