Browse our R Labs
Thee R courses offer hands-on experience, clear explanations of complex concepts, real-world applications, and comprehensive coverage of R for data analysis.
Here is what it will do for you:
☑️ Exploratory Data Analysis: You'll gain a deep understanding of exploratory data analysis. Take control of messy datasets with techniques such as data selection, calculation, pivoting, mutating, and handling missing values. Discover basic and advanced EDA techniques, automate your EDA reports, and explore data using tools like Tidyverse, dlooker and DataExplorer.
☑️ Hands-on Labs: Learners will complete four hands-on labs covering essential skills, enhancing their ability to manipulate, visualize, and analyze data effectively. engage in interactive exercises, projects, and real datasets to gain practical experience, enabling them to tackle complex data analysis challenges effectively.
☑️ Real-World Application: The course demonstrates how R can be applied to real-world data analysis scenarios, covering data preprocessing, transformation, exploratory data analysis, and statistical modeling. This practical knowledge empowers learners to uncover insights and drive data-driven decision-making.
☑️ Comprehensive Coverage: It provides comprehensive coverage of R for data analysis, encompassing topics such as data manipulation, data visualization, statistical analysis, and predictive modeling. This ensures participants become well-rounded data analysts.
☑️ Career Advancement: Acquiring R skills for data analysis opens doors to exciting career opportunities. Employers highly value individuals who can leverage R to extract meaningful insights from data. This course positions learners for career growth and advancement in the data-driven world.
After completing these courses, you will have gained practical experience in using R for data analysis and visualization. You will possess the ability to manipulate data, import various data types, clean and transform data effectively, and perform exploratory data analysis. These skills will empower you to make data-driven decisions, extract meaningful insights from data, and communicate these insights effectively, enhancing you employability and advancing your career in the data-driven landscape.
These practical R video courses includes 3 labs
Here is what you'll get:
> Five (5) Instructional Videos to walk you though, step-by-step, the RStudio interface to start programming in R
> One (1) Cheat Sheet. You'll get one-pagers for quick reference to import, clean and transform data with RStudio
> One (1) short quiz on the RStudio, the pros and cons.
> One (1) practice activity to improve your skills using RStudio.
At the end of the course, you will be able to:
Install R and RStudio on your desktop
Use the new cloud-based solution that allows anyone to learn R, directly from your browser.
Learn the 10 most important things that 99% of R programmers should know about the RStudio IDE Interface.
Install and load R packages, from CRAN and Github, into the R session.
Create interactive HTML widgets with 1 line of code.
Price: $9.99
Into RStudio (Now Posit)
In this course, you will learn everything you need to know to import data within RStudio IDE, and start programming in R.
Here is what you'll get:
> Four (4) Instructional Videos to walk you though, step-by-step, the RStudio interface to start importing your datasets and start programming in R
> One (1) Cheat Sheet. You'll get one-pager for quick reference to import data with RStudio
> Two (2) practice activities to build your confidence importing data using RStudio.
> ALL the files and R code used in this project
Here is what you'll learn how to:
☑️ Importing Rectangular Data (like csv and tsv) in RStudio and R session.
☑️ Loading Excel Files into R
☑️ Read Data from Statistical Software (like SAS, SPSS, STATA) into R
☑️ Read/Write Data from and to SQL Databases with RStudio
Price: $9.99
In this course, you will learn everything you need to know to clean and transform data within RStudio IDE, and start analyzing data in R.
Here is what you'll get:
> Six (6) Instructional Videos to walk you though, step-by-step, the RStudio interface to start importing your datasets into RStudio
> Three (3) Cheat Sheets. You'll get one-pager for quick reference to clean and transform data with RStudio
> Two (2) practice activities to improve your skills cleaning data using RStudio.
Here is what you'll learn how to:
Select groups of observations and create new calculated fields
Transform messy to clean dataset with Pivot and Mutate
Transform messy to clean dataset with Mutate and String Replace
Handling missing values in R
Split, combine cells and columns and join data from different tables in R
Price: $9.99
to Advanced Bundle
Lab #1: Getting Started with RStudio
- Install R and RStudio
- Use cloud-based solutions for R
- Master the RStudio IDE interface
- Install R packages from CRAN and Github
- Create interactive HTML widgets
Lab #2: Importing Data in RStudio
- Import CSV/TSV data into R
- Load Excel files into R
- Read data from SAS, SPSS, STATA into R
- Read/write data from SQL databases
Lab #3: Cleaning and Transforming Data in RStudio
- Select observations and create new calculated fields
- Clean datasets using Pivot, Mutate, and String Replace
- Handle missing values in R
- Split, combine, and join data tables
Price $19.99 (25% discount)