Udemy

Platform

English

Language

Data & Analytics

Category

Complete Data Wrangling & Data Visualisation In R

Learn Data Preprocessing, Data Wrangling and Data Visualisation For Practical Data Science Applications in R

4.77 (117 reviews)

Students

6 hours

Content

Feb 2020

Last Update
Regular Price


What you will learn

Read In Data Into The R Environment From Different Sources

Carry Out Basic Data Pre-processing & Wrangling In R Studio

Learn to IDENTIFY Which Visualisations Should be Used in ANY given Situation

Go From A Basic Level To Performing Some Of The MOST COMMON Data Preprocessing, Data Wrangling & Data Visualization Tasks In R

How To Use Some Of The MOST IMPORTANT R Data Wrangling & Visualisation Packages Such As Dplyr and Ggplot2

Build POWERFUL Visualisations and Graphs from REAL DATA

Apply Data Visualization Concepts For PRACTICAL Data Analysis & Interpretation

Gain PROFICIENCY In Data Preprocessing, Data Wrangling & Data Visualization In R By Putting Your Soon-To-Be-Acquired Knowledge Into IMMEDIATE Application


Description

THIS IS YOUR ROADMAP TO LEARNING & BECOMING HIGHLY PROFICIENT IN DATA PREPROCESSING, DATA WRANGLING, & DATA VISUALIZATION IN R!

Hello, My name is Minerva Singh. I am an Oxford University MPhil graduate in Geography & Environment & I  finished a PhD at Cambridge University in Tropical Ecology & Conservation.

I have +5 of experience in analyzing real-life data from different sources using statistical modelling and producing publications for international peer-reviewed journals. If you find statistics books & manuals too vague, expensive & not practical, then you’re going to love this course!

I created this course to take you by hand and teach you all the concepts, and tackle the most fundamental building block on practical data science - data wrangling and visualisation.

THIS COURSE WILL TEACH YOU ALL YOU NEED AND PUT YOUR KNOWLEDGE TO PRACTICE NOW!

This course is your sure-fire way of acquiring the knowledge and statistical data analysis wrangling and visualisation skills that I acquired from the rigorous training I received at 2 of the best universities in the world, the perusal of numerous books and publishing statistically rich papers in the renowned international journal like PLOS One.

HERE IS WHAT THIS COURSE WILL DO FOR YOU:

  • It will take you (even if you have no prior statistical modelling/analysis background) from a basic level of performing some of the most common data wrangling tasks in R.

  • It will equip you to use some of the most important R data wrangling and visualisation packages such as dplyr and ggplot2.

  • It will Introduce some of the most important data visualisation concepts to you in a practical manner such that you can apply these concepts for practical data analysis and interpretation.

  • You will also be able to decide which wrangling and visualisation techniques are best suited to answer your research questions and applicable to your data and interpret the results..

The course will mostly focus on helping you implement different techniques on real-life data such as Olympic and Nobel Prize winners

After each video, you will learn a new concept or technique which you may apply to your own projects immediately! Reinforce your knowledge through practical quizzes and assignments.

ON TOP OF THE COURSE, I’M ALSO OFFERING YOU:

  • Practice Activities To Reinforce Your Learning

  • My Continuous Support To Make Sure You Gain Complete Understanding & Proficiency

  • Access To Future Course Updates Free Of Charge

  • I’ll Even Go The Extra Mile & Cover Any Topics That Are Related To The Subject That You Need Help With (This is something you can’t get anywhere else).

  • & Access To A Community Of 25,000 Data Scientists (& growing) All Learning Together & Helping Each Other!


Now, go ahead & enrol in the course. I’m certain you’ll love it, but in case you don’t, you can always request a refund within 30 days. No hard feelings whatsoever. I look forward to seeing you inside!




Screenshots

Complete Data Wrangling & Data Visualisation In R
Complete Data Wrangling & Data Visualisation In R
Complete Data Wrangling & Data Visualisation In R
Complete Data Wrangling & Data Visualisation In R

Content

Welcome To The Course

Introduction To The Course and Instructor

Data and Code Used in the Course

Install R and RStudio

Read in Data From Different Sources

Read in CSV and Excel Data

Read in Unzipped Folder

Read in Online CSV

Read in Googlesheets

Read in Data from Online HTML Tables-Part 1

Read in Data from Online HTML Tables-Part 2

Read Data from a Database

Common Data Pre-Processing Techniques

Basic Data Cleaning in R: Remove NA

Additional Data Cleaning

Indexing and Subsetting Data

Summarising Based on Qualitative Attributes

Of Long and Wide

Pre-processing Tasks and the Pipe Operator

Introduction to dplyr for Data Summarizing-Part 1

Introduction to dplyr for Data Summarizing-Part 2

Start with Tidyverse

Column Renaming

Tidy Data: Long and Wide

Joining Tables

Basic Data Visualization

What is Data Visualisation?

Some Principles of Data Visualisation

Exploratory Data Analysis (EDA) in R

More Exploratory Data Analysis with xda

Grammar of Graphics: ggplot2

Start with qplot

More qplot Visualizations

Start with ggplot

Scatterplots with ggplot2

Faceting With ggplot2

More Faceting

Insert a Smoothing Line

Boxplots

More Boxplots

Histograms

Barplots For Discrete Numerical Variables

Insert Error Bars

Line Charts

Additional ggplot2 Themes

ggplot2 quiz

Real Life Data Wrangling and Visualisation

Use dplyr and ggplot

What and How Can We Learn From Data?: Nobel Prize Winners

Mining More Information About Nobel Prizes

Mining and Visualising Information About the Olympic Games-Part 1

Of Winter and Summer Olympic Games

Of Men and Women

Geographic Visualisations

Brief Introduction

Work With R's Inbuilt Geospatial Data-Part 2

Use ggplot2 For Geographic Data Visualisations

Bonus Section

3D Scatterplots


Reviews

R
Ramesh22 October 2020

This is an excellent course presented in a easy-to-learn way. Its practical application is significant and useful. overall An enriching experience .

V
Val13 October 2020

The presenter is not clearly showing how she has set up Rstudio the way she has so it's very difficult to follow what exactly she's doing.

Q
Quinn27 November 2019

Its really a bad way to start a course when the data isn't organized. Some is on a master file, others is listed in lessons, and some is on github. There were missing files from the download and I had to go to the help board to see where its located. I don't know why the instructor didn't just take a few minutes of her time to spare the students many hours of theirs. Also, they do not answer questions. After 5 days of asking a question about a faulty file, they still had not responded. The instructor also makes mistakes by calling a data set a column, and visa versa, which is anathema for beginners. Stay away from this course. There are many other R (and Python) courses on udemy that are superior to this. They may not be called "Data Preprossessing" or "Data Wrangling" but they have these sections in their courses that actually make sense.

S
Stephen4 June 2019

There was much useful information presented and I can adapt the code examples for my day to day activities.

C
Celia20 May 2019

This course is packed with great depth of content to learn about data wrangling and visualization techniques in R. It takes the learner through understanding what R has to offer then layers it with basic statistical concepts, since R is a statistical software. Next, it exposes the learner to applied techniques for analyzing data using R. To complete the learning experience, visualization techniques are shared that give a broad spectrum of knowledge about R packages for graphical output. Certainly a course worth a run through for anyone serious about learning R for data analysis. I was shy of giving 5 stars because the examples I found rather subdued. For example, different flower species, countries having gold medals were not exciting nor was the depiction of the roads and trails in Vietnam. Could lighten the denseness of the learning with data like chocolate consumption per capita, Netflix movie viewing by country, or countries having drone technologies or similar data examples to excite the learner.

J
Jibon8 March 2019

Interesting learning experience and applicable to various job functions as well! Super high pedagogy, and She can really explain difficult concepts in an easy-going manner.

M
Mirza7 March 2019

My experience was very positive but I would like to see more exercises because I understood the more complex elements.

V
Vilen6 March 2019

Just awesome! Teacher is very knowledgeable and walks you through step by step. Excellent guidance on the installs.

C
Chintar5 March 2019

Actually I did not have any idea how I should implement those information on to data visualization. it has definitely improved the quality of my visualisations.

S
Sanam4 March 2019

Various concept are being covered and the course is well structured. I will surely recommend this course. I want the instructor to give more advanced studies on how we can connect Data Wrangling & Data Visualisation in R.

Q
Quentin28 February 2019

It is a very practical course in R. It will be good to include a section on visualizing geographic data

F
Fernando21 February 2019

It's not a course I'd recommend, the instructor is not engaging, some key things from R functions are just "read" but not explained. Also, the instructor's explanation in some lectures and some questions in the Q&A are not satisfactory at all. This all would be ok if I was watching a free YouTube tutorial, but this is a paid course, and as such, not worth it

E
Evans29 January 2019

i think the presentation of this could be improved. for a starter, the clutter on the screen can be confusing.

A
Anushka7 December 2018

Very hands-on and up to date course on R data wrangling. Like the in-depth treatment given to ggplot2. It will be good to have a section on interactive visualisation

L
Lisbet7 December 2018

I like the focus on the new wrangling packages. I think it would be good to have some geographic visualizations given that the instructor is an ecologist


Coupons

DateDiscountStatus
3/9/2021100% OFFExpired

1996656

Udemy ID

10/29/2018

Course created date

8/23/2019

Course Indexed date
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