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LifestyleComplete Data Wrangling & Data Visualisation In R (Udemy.com)
Learn Data Preprocessing, Data Wrangling and Data Visualisation For Practical Data Science Applications in R
Created by: Minerva Singh
Last updated November 2025
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
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.3 out of 5higher than 17% of them
- Reviews234#323 of 462 by number of reviews
- Length6.3 hoursshorter than 59% of them
- Last updatedNovember 2025more recently than 51% of them
Course 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!
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Instructor Details
- 4.3 Rating
234 Reviews
Minerva Singh
I completed a PhD (University of Cambridge, UK) in 2017 where I focussed on implementing data science techniques for quantifying the impact of forest loss on tropical ecosystems. I hold an MPhil (School of Geography and Environment) and an MSc (Department of Engineering) from Oxford University. I have more than 10 year's experience in conducting academic research (published in high level peer-reviewed international scientific journals such as PLOS One) and advising both non-governmental and industry stakeholders in data science, deep learning and earth observation (EO) related topics.
I have a strong track record in implementing machine learning, data visualization, spatial data analysis, deep learning and natural language processing tasks using both R and Python. In addition to being educated at the best universities in the world, I have honed my statistical and data analysis skills through many MOOCs, including The Analytics Edge (R based statistics and machine learning course offered by EdX), Statistical Learning (R-based Machine Learning course offered by Stanford online) and the IBM Data Science Professional certificate Track. I specialise in a variety of topics ranging from deep learning (Tensorflow, Keras) to machine learning to spatial data analysis (including EO data processing), data visualizations, natural language processing, financial analysis among others. I have acted as a peer reviewer on highly
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Reviews
By Ramakrishna Ray on 2/21/2022
An excellent course for learning the usage of R for data wrangling, data preprocessing and data visualization. The course contains information which has immense potential for practical applications.
By Rony Fernandez on 1/17/2022
Very useful and important course for data wrangling, data preprocessing and data visualisation in R. the course has umpteen avenues for practical usage. The instructor has deep knowledge of the subject.
By Amit Narang on 12/16/2021
Data wrangling, data visualisation and data preprocessing in R is a useful course which has immense possibilities for practical applications. The instructor is simply brilliant in explaining finer nuances of the subject.
By Anonymized User on 12/6/2021
The course contains valuable information about practical data applications in R for data processing, data visualisation and data wrangling. The course has vast potential for practical applications. The instructor is simply brilliant in explaining details of the subject.
By Raj Kumar Majumdar on 9/18/2021
The course contains valuable information about data processing, data wrangling and data visualization for practical data science applications in R. It has vast opportunities for practical applications. The instructor has extensive knowledge of the subject and her delivery is engaging.
By RKM singh on 7/16/2021
Complete data wrangling and data visualisation in R is a course which beyond my expectations. The concepts have been brilliantly elaborated by the instructor in the lectures. The course is certainly value addition to my knowledge.
By Rajesh Kumar on 6/30/2021
This is an excellent course to learn data processing, data wrangling and data visualization for practical data science application in R. the lectures in the course are precise and to-the-point . The concepts have been brilliantly explained by the instructor.
By Anonymized User on 6/5/2021
It is a hands-on course for me. It contains the latest information which is of immense usage for my work. The concepts have been brilliantly developed through well-arranged lectures by the instructor.
By Val Yianni on 10/13/2020
She tutor clearly knows her stuff and does an excellent job at showing the basic functionalities of plotting and basic data analysis. I had 2 main issues with the course : 1. I had 1 question throughout the whole course that related to syntax, as I did not understand why it had to be written in such a way or what the tutor was doing. I asked the question and the only response I got from her was 'try it' (the way I asked), to which I responded that I'm aware it doesn't work but I would like to know why and if she could explain. I got NO response back. I find that very insulting to students that are genuinely asking a question. Overall I would not recommend people take the course as it's quite weak in explaining syntax and why things need to be written a in a specific way to plot correctly - and when asking that you get ignored so... 2. The quality of the recordings drops from boxplots onwards. The screen capture goes extremely blurry and makes everything ineligible. Surprised she has not re-recorded the affected slides.
By Fernando Escobar on 2/21/2019
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
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 86 / 100
- Video Duration:
6.3h - Price: $79.99
- Provider: Udemy
- Updated:
November 2025 - Level:
All Levels - Language:
English - Certificate:
Yes
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