Complete Data Wrangling & Data Visualisation In R

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

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Complete Data Wrangling & Data Visualisation In R

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!



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

Who Should Attend!

  • Students Interested In Getting Started With Data Science Applications In The R & R Studio Environment
  • Students Interested in Learning About the Common Pre-processing Data Tasks: Including Cleaning and Munging
  • Students Interested in Gaining Exposure to Common R Packages Such As ggplot2
  • Those Interested in Learning About Different Kinds of Data Visualisations
  • Those Interested in Learning to Create Publication Quality Visualisations

TAKE THIS COURSE

Tags

  • Data Science
  • Data Validation
  • Data Visualization
  • R (programming language)

Subscribers

1263

Lectures

50

TAKE THIS COURSE



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