MP4 | Video: h264, 1280×720 | 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:
Basic Description types
Intermediate Description types
Advanced Description types
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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
Lines of best fit
Who this course is for
Quantitative business users