Intro to Statistics

Free Course
8 weeks duration

Get ready to analyze, visualize, and interpret data! Thought-provoking examples and chances to combine statistics and programming will keep you engaged and challenged.

The course Intro to Statistics on Udacity covers a wide range of topics related to data analysis and statistical inference. Students will learn how to visualize relationships in data, make predictions based on data, and understand the concept of Simpson's paradox. The course also introduces probability theory, including Bayes Rule and the distinction between correlation and causation. Students will explore estimation techniques such as maximum likelihood estimation, as well as measures of central tendency and variability like mean, median, mode, standard deviation, and variance. The course also covers outliers and their impact on the normal distribution, as well as the binomial distribution. In the inference section, students will learn about confidence intervals and hypothesis testing. Finally, the course concludes with an introduction to linear regression and correlation analysis.

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Udacity is an online learning platform that offers a wide range of courses and programs in various fields such as technology, business, data science, and artificial intelligence. It was founded in 2012 by Sebastian Thrun, David Stavens, and Mike Sokolsky with the aim of providing accessible and affordable education to individuals worldwide. Udacity's courses are designed in collaboration with industry experts and leading companies, ensuring that the content is relevant and up-to-date. The platform offers both self-paced courses and guided programs, allowing learners to choose the learning style that suits them best. Udacity also provides career services and support, including resume reviews, interview preparation, and job placement assistance, to help learners transition into their desired careers.
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