Static and Interactive Data Visualizations in R

Hello, My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment), graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years 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 using the R Programming Language. GET ACCESS TO A COURSE THAT IS JAM PACKED WITH TONS OF APPLICABLE INFORMATION.

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 a renowned international journal like PLOS One. To be more specific, here's what the course will do for you: (a) It will take you (even if you have no prior statistical modelling/analysis background) from a basic level to creating impressive visualisations (b) It will equip you to use some of the most important R visualisation packages such as ggplot2. (c) 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.

(d) You will also be able to decide which visualisation techniques are best suited to answer your research questions and applicable to your data and interpret the results. (e) You will work with real-life data to create publication-quality interactive visualizations with packages such as Plotly. The course will mostly focus on helping you implement different techniques on real-life data such as Olympic and Nobel Prize winnersAfter each video, you will learn a new concept or technique which you may apply to your own projects immediately.