R Software Training Workshop
2019
R is a free software environment and is one of the leading programming language in statistics and data science. Statisticians, analysts, scientists, and engineers use R language to help them to analyze, model and visualize large and complex datasets. The number of R users has been growing rapidly and an increasing number of organizations are on the look out for promising employees with R skills. We provide onsite R Software Training Classes for specialized data science skills for organizations and researchers.
0830 - 1700
COURSES
R Software Training Courses
Venue: Computer Lab 2, Level 3 C22, Department of Mathematical Sciences, Faculty of Science, UTM Johor Bahru
Getting Started with R
- Work with R using the command-line and scripts
- Manage and customize your R sessions
- Access R help and documentation, Working in RStudio
- Install new R functionality through add-on packages
- Data structure in R
- Import and export data
- Examples of basic data analysis in R
Introduction to Statistics with R
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manipulate data in R (filter and sort data sets, recode and compute variables)
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compute statistical indicators (mean, median, mode etc.)
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determine skewness and kurtosis
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get statistical indicators by subgroups of the population
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build frequency tables
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build cross-tables
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create histograms and cumulative frequency charts
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build column charts, mean plot charts and scatterplot charts
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build boxplot diagrams
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check the normality assumption for a data series
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detect the outliers in a data series
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perform univariate analyses (one-sample t test, binomial test, chi-square test for goodness-of-fit)
Make Predictions from Your Data Using R
- Predictive linear models and quick introduction to R
- Predictive linear model for continuous data
- Predictive linear model for counts data
Time Series and Forecasting with R
- Basics – Time series modeling
- Exploration of time series data in R
- Introduction to ARMA time series modeling
- Framework and application of ARIMA time series modeling
CONTACT