R for Data Science: Learn Data Manipulation 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 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 these. So, you will easily create, subset, convert or change any element within a vector or data frame.

Then, we will transform and manipulate real data. For the manipulation, we will use the tidyverse package, which involves dplyr and other necessary packages.

At the end of the 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 content 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

Who this course is for:

Anyone interested in data sciences

Anyone interested in statistical courses

Statisticians, acad 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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