Statistics for Data Analysis Using R
Learn Programming in R & R Studio • Descriptive, Inferential Statistics • Plots for Data Visualization • Data Science
4.52 (2436 reviews)
13,139
students
12.5 hours
content
Sep 2021
last update
$74.99
regular price
What you will learn
Learn R programming from the ground up, starting from the basics and progressing to advanced data analysis techniques.
Learn the basic statistical concepts first, followed by practical application using R Studio, combining theory and practice for effective learning.
Master descriptive statistics, including mean, mode, median, skewness, and kurtosis, and how to apply these concepts to your data analysis.
Understand and perform inferential statistics such as one and two-sample z-tests, t-tests, Chi-Square tests, F-tests, ANOVA, and TukeyHSD, and more.
Explore probability distributions, including normal, binomial, and Poisson, and their applications in data analysis.
Develop the skills to perform data manipulation, visualization, and statistical analysis using R.
Apply statistical concepts in real-world scenarios, enhancing your problem-solving abilities and decision-making skills.
Boost your career prospects with a strong foundation in statistics and R programming, valuable skills in today’s data-driven job market.
Equip yourself with the tools to handle large datasets and perform complex statistical analyses with confidence.
Enhance your ability to make data-driven decisions by mastering the use of R for statistical analysis.
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1320528
udemy ID
8/13/2017
course created date
11/20/2019
course indexed date
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