What you'll learn:
- TO go through deep understanding of R language basics and packages and many hand on examples
Learn R programming and unlock the power of statistical computing for data science, analytics, and visualization. This course introduces the R language, a popular open-source programming environment designed for statistical computing and graphics. Whether you are a beginner or an experienced data analyst, this course will help you gain practical skills to analyze, visualize, and present data effectively.
You’ll start by learning how to install R and RStudio on your computer and import data from SPSS, spreadsheets, and other sources. The course covers essential R commands and packages, enabling you to compute descriptive statistics, create new variables, and check the reliability of your data. You’ll also learn how to identify data outliers, test statistical assumptions, and perform key analyses, such as comparing means.
Hands-on examples guide you through data visualization, including bar charts for categorical variables, histograms, scatter plots, and more. You’ll also learn how to extract charts and tables from R and share results in presentations or web pages. For Linux users, the course includes guidance for quickly installing R on Ubuntu Linux.
By the end of this course, you’ll have the confidence to use R programming for real-world data analysis, create compelling visualizations, and make data-driven decisions. This course is ideal for data analysts, statisticians, students, and anyone interested in data science looking to leverage R’s powerful statistical and graphical capabilities.
