This course is designed for anyone curious about AI, whether you are a student, professional, entrepreneur, or enthusiast. Our goal is to tell the complete story of AI, from its beginnings to today, in a clear, engaging, and comprehensive manner.
This course gives a brief, but rigorous, treatment of statistical inference intended for practicing Data Scientists.
This course brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization. The skills taught in this course will lay the foundation for you to begin your journey learning data science.
Master language models through mathematics, illustrations, and code―and build your own from scratch! This course includes nearly three hours of exclusive video interviews with the author, covering questions related to each of the six lessons included in the course.
Data cleaning is a serious business – you’ll typically spend 80% of your analysis time cleaning data! In this course you’ll learn how to clean your data in a fraction of the time. The steps you’ll learn are very simple to follow, but are extremely effective, so you’ll know that you’re getting the best start possible, saving you weeks of misery!
WARNING: This course contains a few bad puns, some awkward clichés and many mixed metaphors.It is intended to drive the fear out of medical statistics and drive out the fear of medical statistics.The course content is much easier to understand than this warning.
Data cleaning is a serious business – you’ll typically spend 80% of your analysis time cleaning data! In this course you’ll learn how to clean your data in a fraction of the time. The steps you’ll learn are very simple to follow, but are extremely effective, so you’ll know that you’re getting the best start possible, saving you weeks of misery!
Create structured data in a human readable data format