Rsquared Academy
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We are an online education platform with focus on data science and analytics. We offer both instructor-led and self paced courses , along with 24/7 support.
By subscribing to our channel, you'll never miss out on high-quality videos and webinars on R, Python, Data Science, Data Visualization, Machine Learning, Git, SQL, Command Line, Docker, Cloud Computing, Apache Spark, Shiny, RMarkdown etc.
Call us on IND: 9606872504 to talk to our Course Advisors.
Handling Date & Time in R | Round & Rollback Dates | R Training | Rsquared Academy
Handling Date & Time in R | Intervals, Duration & Period | R Training | Rsquared Academy
Handling Date & Time in R | Create, Update & Verify | R Training | Rsquared Academy
Handling Date & Time in R | Date & Time Components | R Training | Rsquared Academy
Handling Date & Time in R | Parse Date & Time | R Training | Rsquared Academy
Handling Date & Time in R | Date & Time Formats | R Training | Rsquared Academy
Handling Date & Time in R | Time Zones & Daylight Savings | R Training | Rsquared Academy
Handling Date & Time in R | Date Arithmetic | R Training | Rsquared Academy
Handling Date & Time in R | Date & Time Classes | R Training | Rsquared Academy
Handling Date & Time in R | Welcome & Introduction | R Training | Rsquared Academy
Command Line Basics for R Users - R & Shell
Command Line Basics for R Users - File Compression
Command Line Basics for R Users - Retrieve Data from Web
Command Line Basics for R Users - Search & Regex
Command Line Basics for R Users - Input/Output
Command Line Basics for R Users - File Management Part 2
Command Line Basics for R Users - File Management Part 1
Command Line Basics for R Users - Navigating File System
Command Line Basics for R Users - Introduction
Working with Databases using R
Customer Segmentation in R using RFM Analysis
pkginfo Shiny App Demo
R Tutorial: Joining Data in R with dplyr
R Tutorial - Data Wrangling Helper Functions
R Tutorial - Data Wrangling with dplyr
R Tutorial - How to Import Data from Excel into R
R Tutorial - Import Data into R
R Tutorial - Introduction to tibbles
Introduction to magrittr R Package - Write Readable Code with Pipes
Practical Introduction to Web Scraping using R