Don’t we all wish that our days were longer than 24 hours? So that we can fit more stuff in every day? But, unfortunately, time today is — and always has been — very tricky to handle, especially if you’re trying to squeeze in learning a new skill into your already full daily schedule. That’s why it’s always a great thing to find a resource that can teach you something new in a relatively short amount of time.
When I want to learn a new skill, library, or programming language, I would have to do that either after work (which is not ideal) or on the weekend. And often I try my best to learn all the essential knowledge within the weekend. However, we all know that data science is a broad field with many specific topics underneath.
Wouldn’t it be great if you can learn a new skill or concept every day? And then move on to the next concept? For example, I know that you can learn the basics of any data science concept that can be learned within a day — or 24 hours. Then, once you learned these basics well, you can build up this knowledge and start building applications.
In this article, I will share with you 5 online courses, all available on Coursera, and all are short, informative, and can be finished in one day. These courses are a great option if you want to learn something on the weekend but don’t feel like registering for a 50+ hours course.
No better way to start a list of data science courses than with a data analysis one. The first course on the list is one offered by Google, and it is an introductory course in data analysis. Foundations: Data, Data, Everywhere is the first course of a series of courses meant to prepare you for the Google Analytics Certificate.
This course is divided into 5 modules, collectively designed to be done in 20 hours. During these 20 hours, you will learn the key skills of analyzing data, such as cleaning and visualizing the data, understanding basic tools you will need to do so, like SQL, R, and Tableau and setting up a professional, efficient developing environment.
Next up is a course intended for those with some knowledge of deep learning, Python, and AI. Introduction to Machine Learning in Production is a course offered by DeepLearning.AI and is the first course in their series about machine learning production engineering (MLOps). This courses series is meant to take you beyond implementing a machine learning algorithm and…
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