Linear Algebra – Khan Academy : This concise and an excellent course on Khan Academy will equip you with the skills necessary for Data Science and Machine Learning. Some topics are more important than others for our use in data science. Data science is a broad and complex subject so the range and breadth of knowledge in maths and statistics is wide. Maybe Khan Academy could host questions/videos for African medical students, perhaps African medical schools could generate content for Khan Academy for US medical schools, perhaps, perhaps, perhaps… No single data point or school will tell the story of online education in Africa, but if we watch closely I think there are many lessons for all of us to learn. Meet Wasif Khan - one of our data science instructors! Practice Coding. He has been a developer for 3 years but his passion lies within teaching. He helps others who are trying to break into the technology field like data science. Books (on GitHub) Ideas/Thoughts. plaid-API project. You can learn anything – for free: Over 10,000 videos and explanations at your fingertips in math, science, economics, history, and much, much more ; Sharpen your skills: over 40,000 interactive Common Core aligned practice questions are included with instant feedback and step-by-step hints. The Best Public Datasets for Machine Learning and Data Science. Algorithms. Also, including Data Science and Machine Learning would be great. Essential Math for Machine Learning: Python Edition, Microsoft (course) Khan Academy is free for all and you can audit Coursera course for free. math-notes. Khan Academy allows you to learn almost anything for free. We tackle math, science, computer programming, history, art history, economics, and more. Statistics for Data Science and Business Analysis 4.5 (14,872 ratings) Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately. This one of a kind program is the first Online Data Science program to be accredited by SSC NASSCOM. I was there for the Medical Education Partnership Initiative (MEPI) meeting, and in attendance were 12 of the premier African medical schools. ;It covers some of the most important modeling and prediction techniques, along with relevant applications. A regression analysis between sales (y in $1000) and advertising (x in $100) resulted in the following least-squares line: ˆy = 82 + 7x. Books (optional) Linear Algebra/ Levandosky – This is an often cited book to Stanford graduates for Linear Algebra. Wasif has a Bachelors in Computer Science/Master in Artificial Intelligence from the University of Waterloo. Some material on IoT and Cloud Computing would be great too. Papers. Statistics Tutorials : Beginner to Advanced This page is a complete repository of statistics tutorials which are useful for learning basic, intermediate, advanced Statistics and machine learning algorithms with SAS, R and Python. Statistics For Data Science | Data Science Tutorial | Simplilearn Statistics is primarily an applied branch of mathematics, which tries to make sense of observations in the real world. The main disadvantage of Khan Academy is the lack of assignment, but don’t sweat it as you will get plenty of practice when you move into machine learning algorithms. If this is something you've been trying to do, you've come to the right place. He has been a developer for 3 years but his passion lies within teaching. Data Science requires a solid foundation in mathematics to be able to understand and perform certain tasks. Khan Academy Statistics and Probability. This guide is for information only and should help you understand the different types of data and how they can be used. Meet Wasif Khan - one of our data science instructors! Types of data.
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