Easy Statistics: Data Visualization

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 41 lectures (3h 56m) | Size: 936.6 MB

Learn many different plots and graph techniques
What you'll learn:
Data visualisation
Basic plot types
Intermediate plot types
Advanced plot types
Distribution plots
Relationship plots
Categorical plots
Specialised plots

Requirements
None

Description
Make sure to check out my twitter feed for promo codes and other updates (easystats3)

Learning and applying new statistical techniques can often be a daunting experience.

"Easy Statistics" is designed to provide you with a compact, and easy to understand, course that focuses on the basic principles of statistical methodology.

This course will teach you the many different methods to visualize data

Visualizing and graphing data is a vital in modern data analytics. Whether you are a data scientist, student of quantitative methods or a business user, having an understanding of how to visualise data is an important aspect in getting data information across to other stakeholders. Many different ways of visualising data have been devised and some are better than other. However, each method has advantages and disadvantages and having a solid understanding of what visualization might be best suited is key to delivering a concise and sharp "data message".

Often, it takes years of experience to accumulate knowledge of the different graphs and plots. In these videos, I will outline some of the most important data visualization methods and explain, without any equations or complex statistics, what are the advantages and disadvantages of each technique.

The main learning outcomes are:

To learn and understand the basic methods of data visualization

To learn, in an easy manner, variations and customisations of basic visualization methods

To gain experience of different data visualization techniques and how to apply them

Themes include:

Histograms

Density plots

Spike plots

Rootograms

Box plots

Violin plots

Stem-and-Leaf plots

Quantile plots

Bar graphs

Pie charts

Dot charts

Radar plots

Scatter plots

Heat plots

Hex plots

Sunflower plots

Lines of best fit

Area plots

Line plots

Range plots

Rainbow plots

Jitter plots

Table plots

Baloon plots

Mosaic plots

and more

Who this course is for
Data analysts
Data scientists
Quantitative students
Quantitative business users