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March 14th had us not only Pi Day, but also Data Science Day. This year we celebrated with a 14 days of Data Science collection to showcase some of the exciting this you can do with Data Science, and to explain the breadth of technology that comes under the Data Science banner.
What is data science and why should you care?
Data science is the art and science of extracting insights from data. It combines skills from mathematics, statistics, computer science, and domain knowledge to solve complex problems and make informed decisions. Data science is everywhere: from recommender systems that suggest products you might like, to natural language processing that enables chatbots and voice assistants, to machine learning that powers self-driving cars and facial recognition. Data science is not only a powerful tool for innovation and efficiency, but also a source of creativity and curiosity.
Whether you’ve given Data Science a go before, or you are brand new to it, we hope to give you a new data technique or ideology to make you think! With so much AI getting used in the world these days, our collection will help you delve beneath the surface of what ChatGTP can do for you, show you how it and other data-powered techniques work behind the scenes, and give you the resources you need to learn more to create your own Data Science solutions!
With lots to discover you can jump in here to check out the first seven days of our collection.
You can also check out our Data Science Cloud Skills Challenge here to start some hands-on Data Science activities (and there’s even more activities linked in each of the articles).
What will you learn in 14 days of data science?
In this series of articles, we will take you on a journey of discovery and learning through the various aspects of data science. Each day, we will cover a different topic, from getting started with Machine Learning to Responsible AI to essential Data Scientist tools. We also share with you some of the best resources, tools, and tips for learning and practicing data science on your own.
The seven topics you can see in the first week are:
Day 1: Introduction to Data Science (Read and comment on this topic on dev.to)
Learn about the foundations of Data Science, how it relates to AI, and what all of this can be used for.
Day 2: Responsible AI (Read and comment on this topic on dev.to)
Contemplate how AI has the power to impact lives for better or worse and learn how responsible AI principles help us build tech that benefits the world.
Day 3: Introduction to Machine Learning (Read and comment on this topic on dev.to)
Find out what ML, “Machine Learning” is all about, understand how it works and what it is capable of.
Day 4: Supervised Machine Learning (Read and comment on this topic on dev.to)
Unlock the potential of supervised machine learning algorithms to make accurate predictions and classifications based on labelled data.
Day 5: Unsupervised Machine Learning (Read and comment on this topic on dev.to)
Delve into the world of unsupervised machine learning and discover how algorithms uncover hidden patterns and structures within unlabelled data.
Day 6: The Data Science Lifecycle (Read and comment on this topic on dev.to)
Explore the end-to-end data science lifecycle, from problem framing to actionable insights.
Day 7: The Data Science Developer Experience and Welcome to Data Science Day (Read and comment on this topic on dev.to)
Get acquainted with the tools and technologies used by data scientists and learn about exciting events like Data Science Day.
Are you ready for the 14 days of data science?
We are very excited to share with you this series of articles, and we hope you are too. Data science is a fascinating, rewarding, and creative field, and we are sure you will enjoy learning and applying it. Whether you are a beginner or an experienced data enthusiast, we are confident that you will find something new and useful in this series. So, what are you waiting for? Join us for the 14 days of data science and discover the wonders of data.
We hope you enjoy our 14 Days of Data Science and our Data Science Cloud Skills Challenge!