00aa9192
Published 3/2024
Created by Brian Greco
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 97 Lectures ( 5h 53m ) | Size: 6 GB
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A former Google data scientist teaches you R starting with the basics, and learning common tools for data science.
What you'll learn:
Master the basic parts of R like vectors and matrices
Learn more complex data structures like data frames and lists
Learn R's probability functions for simulating data and calculating probabilities
Practice these skills using Udemy's built-in coding exercises
Requirements:
Some experience in programming or statistics is helpful, but no prior knowledge is assumed.
Description:
This comprehensive R course starts from the very basics, covering vectors, matrices, data frames, and more, ensuring a solid foundation for beginners. Start your journey to becoming an R expert today!Key Features:Learn R from scratch with a step-by-step approachHands-on exercises for practical experienceUnderstand data structures and data manipulation in R:VectorsMatricesData framesListsSubsetting dataapply() functions on matricesLearn about probability distributions and R's tools for probability.r functions for generating random variablesd functions for finding the probability of single eventsp functions for finding cumulative probabilitiesq functions for finding percentilesLearn about common probability distributions commonly used in data science, including the binomial, geometric, exponential, normal, Poisson, gamma, and uniform distributions.Lifetime access to course materials and updatesTarget audience and pre-requisites:This course is designed for all levels, and assumes no prior knowledge of R.  Some experience programming or analyzing data is helpful, but we will build all knowledge from scratch!  Some sections, especially in the second half of the course, will assume a foundation in basic algebra and arithmetic.Start with the fundamentals of R programming, and gain proficiency in R to position yourself as a skilled data scientist.
Who this course is for:
Aspiring data analysts or data scientists who want to learn R
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