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Statistics with R - Beginner Level (Udemy.com)

Basic statistical analyses using the R program

4.6
1,604 reviews

Created by: Bogdan Anastasiei

Last updated December 2020

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What you will learn

  • manipulate data in R (filter and sort data sets, recode and compute variables)
  • compute statistical indicators (mean, median, mode etc.)
  • determine skewness and kurtosis
  • get statistical indicators by subgroups of the population
  • build frequency tables
  • build cross-tables
  • create histograms and cumulative frequency charts
  • build column charts, mean plot charts and scatterplot charts
  • build boxplot diagrams
  • check the normality assumption for a data series
  • detect the outliers in a data series
  • perform univariate analyses (one-sample t test, binomial test, chi-square test for goodness-of-fit)

How it compares

Against the other 503 rated Udemy courses in Teaching & Academics on CourseDuck:

  • Rating4.6 out of 5higher than 58% of them
  • Reviews1,604#104 of 504 by number of reviews
  • Length2.8 hoursshorter than 60% of them
  • Last updatedDecember 2020earlier than 72% of them

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Course Description

If you want to learn how to perform the basic statistical analyses in the R program, you have come to the right place.

Now you don’t have to scour the web endlessly in order to find how to compute the statistical indicators in R, how to build a cross-table, how to build a scatterplot chart or how to compute a simple statistical test like the one-sample t test. Everything is here, in this course, explained visually, step by step.

So, what will you learn in this course?

First of all, you will learn how to manipulate data in R, to prepare it for the analysis: how to filter your data frame, how to recode variables and compute new variables.

Afterwards, we will take care about computing the main statistical figures in R: mean, median, standard deviation, skewness, kurtosis etc., both in the whole population and in subgroups of the population.

Then you will learn how to visualize data using tables and charts. So we will build tables and cross-tables, as well as histograms, cumulative frequency charts, column and mean plot charts, scatterplot charts and boxplot charts.

Since assumption checking is a very important part of any statistical analysis, we could not elude this topic. So we’ll learn how to check for normality and for the presence of outliers.

Finally, we will perform some basic, one-sample statistical tests and interpret the results. I’m talking about the one-sample t test, the binomial test and the chi-square test for goodness-of-fit.

So after graduating this course, you will know how to perform the essential statistical procedures in the R program. So… enroll today!
Read More Beginner Beginner Level product length iconTime: 2.8h

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Instructor Details

Bogdan Anastasiei

      My name is Bogdan Anastasiei and I am an assistant professor at the University of Iasi, Romania, Faculty of Economics and Business Administration. I teach Internet marketing and quantitative methods for business. I am also a business consultant. I have run quantitative risk analyses and feasibility studies for various local businesses and been implied in academic projects on risk analysis and marketing analysis. I have also written courses and articles on Internet marketing and online communication techniques. I have 24 years experience in teaching and about 15 years experience in business consulting. 

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Reviews

4.6

1,604 ratings on Udemy

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By Michiel Tummers on 9/26/2024

Exactly what i expected from a course like this. Doing a master in psychology, i dont need a 20 hour video on statistical theory(i know that already). Just show me how to do everything in R. Some of the stuff is outdated, some lines of code you wont need anymore with newer versions, but thats the way the cookie crumbles sometimes. I didnt wish for anything more than this, now up to intermediate and advanced. Thanks dr. Anastasiei! Multumesc :)

By Ting James Kong on 11/1/2020

I love this class. The instructor is very knowledgeable. I highly recommend this class to any R learners.

By Maitreyee Ghadigaonkar on 10/25/2020

The instructor started giving a demo on which used a dataset which we didn't have, would have been m ore helpful of that were shared with us or if he had picked a dataset in open source. Also, I had to go off and google or watch YouTube videos quite a few times during this 8 min session. This is because the instructor has assumed that we are somewhat familiar with R, which I believe is an unfair assumption for a beginner's course.

By Anuj on 10/23/2020

nice simple

By Yogesh Dhar on 10/20/2020

All examples very well shown. Professor is very good at taking through all of them. I am able to practice along with him and learn it at my speed. Most of statistics formulae at beginner level covered very well.

By Smita Rajkumar Jadhav on 10/20/2020

its to good to learn this course

By Emma D on 10/18/2020

Yes, very good for beginners like myself who just want to get familiar with using R and the results it can produce from the data. Very easy to follow and it is good having the files to save.

By Ratakane B Maime on 10/3/2020

It is a new territory altogether. Especially the programming aspect of the subject. So I was really struggling to comprehend!

By Sarabjeet Singh Gulyani on 9/25/2020

Great

By Satyugjit Virk on 9/19/2020

Yes, he dives into examples, it's fast and perfect!

By Panna Shil on 9/16/2020

This course is very important to me! The instructor is fantastic. Taking this course I hope this knowledge can apply in my data science field.

By Nand Kishor Mandal on 9/15/2020

Amazing...

Showing 12 of 270 reviews

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Overall Score : 92 / 100

Statistics with R - Beginner Level
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  • Video Duration: icon 2.8h
  • Price: $12.99
  • Provider: icon Udemy
  • Updated: icon December 2020
  • Level: Beginner Beginner
  • Language: icon English
  • Certificate: icon Yes
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