Posted By Cluzter Ops3July 30, 20201,291 views 0 likes
Udacity is where lifelong learners come to learn the skills they need, to land the jobs they want, to buildthe lives they deserve.Our Mission:Our mission is to power careers through tech education. We partner with leading technology companies to learn how technology is transforming industries, and... moreUdacity is where lifelong learners come to learn the skills they need, to land the jobs they want, to buildthe lives they deserve.Our Mission:Our mission is to power careers through tech education. We partner with leading technology companies to learn how technology is transforming industries, and teach the critical tech skills that companies are looking for in their workforce. With our powerful and flexible digital education platform, even the busiest learners can prepare themselves to take on the most in-demand tech roles.Udacity began as an experiment in online learning, when Stanford instructors Sebastian Thrun and Peter Norvig elected to offer their "Introduction to Artificial Intelligence" course online to anyone, for free. Over 160,000 students in more than 190 countries enrolled. The potential to educate at a global scale was awe-inspiring, and Udacity was founded to pursue a mission to democratize education. It would take several years of intensive iteration and experimentation to clarify our focus on career advancement through mastery of in-demand skills, but today, Udacity proudly offers aspiring learners across the globe the opportunity to participate in—and contribute to—some of the most exciting and innovative fields in the world. less
Data and visual analytics is an emerging field concerned with analyzing, modeling, and visualizing complex high dimensional data. This course will introduce students to the field by covering state-of-the-art modeling, analysis and visualization techniques. It will emphasize practical challenges involving complex real world data and include several case studies and hands-on work with the R programming language. Prerequisites and Requirements 1.Programming experience 2.Mathematics: basic linear algebra, calculus, introductory probability 3.No background in machine learning is required