Easy Statistics: Data Visualization

[mitsumi]

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 Descriptions and graph techniques

What you'll learn:
Data visualisation
Basic Description types
Intermediate Description types
Advanced Description types
Distribution Descriptions
Relationship Descriptions
Categorical Descriptions
Specialised Descriptions

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 Descriptions. 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 Descriptions

Spike Descriptions

Rootograms

Box Descriptions

Violin Descriptions

Stem-and-Leaf Descriptions

Quantile Descriptions

Bar graphs

Pie charts

Dot charts

Radar Descriptions

Scatter Descriptions

Heat Descriptions

Hex Descriptions

Sunflower Descriptions

Lines of best fit

Area Descriptions

Line Descriptions

Range Descriptions

Rainbow Descriptions

Jitter Descriptions

Table Descriptions

Baloon Descriptions

Mosaic Descriptions

and more

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

Download link:

Só visivel para registados e com resposta ao tópico.

Only visible to registered and with a reply to the topic.

Links are Interchangeable - No Password - Single Extraction