R 1
Introduction to R and to modern statistics – 2 days
This course helps you get started with R. We’ll cover the basics of R, ranging from importing and handling data to visualisation. You’ll learn about two fundamental tools in statistical analysis: hypothesis tests and confidence intervals. We’ll also discuss important concepts like p-values, power, and sample size calculcations.
The popular tidyverse package is used for filtering, cleaning, and preparing data for analysis. The powerful plotting capabilities of the ggplot2 package are also covered. Both basic statistical concepts and fundamental topics in R programming are discussed. This course is a great fit if you’re curious about R, or already know that you want to use its many tools for advanced data analysis. Classical statistical tests like the t-test, nonparametric tests and the chi-squared test are covered, along with modern computer-intensive methods like the bootstrap. The latter allows us to obtain p-values and confidence intervals without many of the constraints of traditional methods (such as requiring that the data follow a normal distribution), bringing your statistical toolbox up to the 21st century.
Prerequisites: Basic computer skills.
Kursinformation
R 1
Course length: 2 days
Language: English
Hours: 09:00-16:30 (CET)
Price: 12 500 SEK excluding VAT
Kurstillfällen
6-7 feb 2024
Online
23-24 apr 2024
Online
Förhandsbokning
(obestämt datum)
Program
Introduction to R
HANDLING DATA
Importing and exporting data
Handling variables and observations
Transforming data using the tidyverse
Writing R code
DATA VISUALISATION
Common plots using ggplot2
Customizing plots
DESCRIPTIVE STATISTICS
Means correlations, and other descriptive measures
Frequency tables and cross tables
Introduction to modern statistics
STATISTICAL CONCEPTS
Hypothesis testing
p-values
Power
Confidence intervals
Sample size calculcations
CLASSICAL STATISTICAL METHODS
t-tests
chi-squared tests
Confidence intervals for proportions
MODERN STATISTICAL METHODS
Permutation tests
The bootstrap
Information & Frågor
Questions?
Send us an email or Call us
Online course
All our online courses are instructor-led and on the Zoom video platform. Course literature and exercises are either distributed in conjunction with the course or delivered through mail well in advance before the course. This information and and other important instructions are found in your booking confirmation after a reservation is made.
Onsite courses
The address and any additional information is announced in an invitation email send out the week before the course. Course literature and exercise material are distributed onsite. Make sure you have access to a computer with the current program installed for the course.
Booking terms
Statistikakademin has the right to cancel any course in the event of an insufficient number of participants. In case of that happening, you will of course be offered a new course date or be fully compensated. You have the right to rescedule and change course dates up to 15 days before the start of the course. If something comes up last minute and you are not able to attend, you can of course send a colleague instead.
Kursledare

Måns Thulin
Uppskattad utbildare med stor statistisk bredd
Måns Thulin jobbar som konsult och föreläsare inom statistik, maskininlärning och artificiell intelligens. Bland hans klienter finns storbolag, myndigheter, startups och forskare. Genom att använda avancerad statistisk analys har han löst problem inom en rad olika områden, från antibiotikaresistens till kärnbränsle, från mjölkningsrobotar till personalfrågor, från diskbråck till musikvideor. Han har tolv års erfarenhet av undervisning vid bland annat Uppsala universitet och University of Edinburgh och är författare till den populära läroboken Modern Statistics with R. Måns pedagogiska målsättning är att hjälpa alla kursdeltagare att förstå statistikens metoder – statistik ska kännas logiskt och inte som svartkonst.

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