R for Python Data Science: Learn Data Manipulation with R

R, Python data science with R programming, handle with data, manipulate data and outcomes with R (programming language)

Created by: Oak Academy
Web & Mobile Development, IOS, Android, Ethical Hacking, IT

Created by: OAK Academy Team
instructor

Created by: Ali̇ CAVDAR
DATA SCIENTIST AND IT INSTRUCTOR

What Will I Learn?

• Data Manipulation with R programming
• Learn how to handle with big data and python data science
• Learn how to manipulate the data with python
• Learn how to produce meaningful outcomes
• Examine and manage data structures
• Handle wide variety of data science challenges
• Select columns and filter rows
• Arrange the order and create new variables
• Create, subset, convert or change any element within a vector or data frame
• Transform and manipulate an existing and real data
• Use the “tidyverse” package, which involves “dplyr”, and other necessary data analysis package
• R and R Studio Installation
• R Console
• R Studio
• Data Types in R
• Operators and Functions in R
• R (programming language)
• r programming
• r language
• Learning R from a top-rated OAK Academy's instructor will give you a leg up in either industry
• R is the programming language of choice for statistical computing. Machine learning, data visualization, and data analysis projects increasingly rely on R.
• The R programming language was created specifically for statistical programming. Many find it useful for data handling, cleaning, analysis, and representation.
• R is a popular programming language for data science, business intelligence, and financial analysis. Academic, scientific, and non-profit researchers use the R
• Whether R is hard to learn depends on your experience. After all, R is a programming language designed for mathematicians, statisticians, and business analysts

Requirements

• No Previous Knowledge about R (programming language) is needed!
• Desire to learn R in Data Science
• A Windows PC, Mac or Linux Computer
• Be able to download and install all the free software and tools needed to practice
• A strong work ethic, willingness to learn and plenty of excitement about the data mining
• Nothing else! It’s just you, your computer and your ambition to get started today
• Curiosity for r programming
• Desire to work on r
• Desire to learn R programming with python, Data manipulation

Target audience

• Anyone interested in data sciences
• Anyone interested in statistical courses
• Statisticians, academic researchers, economists, analysts and business people
• Anyone who want to make inferences based on their financial data
• Professionals working in analytics or related fields
• Anyone who is particularly interested in big data, machine learning and data intelligence
• Specialists in various area who need to develop sophisticated graphical presentations of data
• Students who need R for their courses
• Anyone who plans a career in data scientist
• Anyone who wants to learn r shiny projects.
• Anyone who wants to learn r programming language
• Anyone who is particularly interested in big data, machine learning and data intelligence
• Anyone interested in data sciences
• Anyone eager to learn r statistics with no coding background
• People who want to learn data science with R, python R