R for Data Science Learn Data Manipulation With R

R for Data Science: Learn Data Manipulation With R
.MP4 | Video: 1280×720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 2.32 GB
Duration: 4 hours | Genre: eLearning | Language: English

Learn data science with R programming, handle with data, manipulate the data and produce meaningful outcomes with R!
What you’ll learn
Data Manipulation
Learn how to handle with big data
Learn how to manipulate the data
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
Requirements
No Previous Knowledge is needed!
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
Description
Welcome to Data Science with R: Learn Data Manipulation With R course.
Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge. If you want to advance in your career as a data scientist, R is a great place to start your data science journey.
R is not just a programming language, but it is also an interactive environment for doing data science. Moreover, R is a much more flexible language than many of its peers.
Throughout the course you will learn the most important tools in R that will allow you to do data science. By using the tools, you will be easily handling big data, manipulate it, and produce meaningful outcomes.
In this course, we will examine and manage data structures in R. You will also learn atomic vectors, lists, arrays, matrices, data frames, tibbles and factors and you will master on these. So, you will easily create, subset, convert or change any element within a vector or data frame.
Then, we will transform and manipulate a real data. For the manipulation, we will use the tidyverse package, which involves dplyr and other necessary packages.
At the end of course, you will be able to select columns, filter rows, arrange the order, create new variables, group by and summarize your data simultaneously.
In this course you will learn;
Examining and Managing Data Structures in R
Atomic vectors
Lists
Arrays
Matrices
Data frames
Tibbles
Factors
Data Transformation in R
Transform and manipulate a deal data
Tidyverse and more
Why would you want to take this course?
Our answer is simple: The quality of teaching.
When you enroll, you will feel the OAK Academy’s seasoned instructors expertise.
Fresh Content
It’s no secret how technology is advancing at a rapid rate and it’s crucial to stay on top of the latest knowledge. With this course you will always have a chance to follow latest trends.
Video and Audio Production Quality
All our contents are created/produced as high quality video/audio to provide you the best learning experience.
You will be,
· Seeing clearly
· Hearing clearly
· Moving through the course without distractions
See you in the course!
Who this course is for:
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

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