Introduction to Data Visualization (Spanish, Multisub)

Create visualizations that communicate and learn to visualize your favorite series
In this course by Víctor Pascual you will discover what data visualization distinguishes between static and dynamic or interactive visualization.

You will learn the basic rules to take into account when developing a visualization, which will help you to have a better critical sense and, apart from analyzing and communicating data, you will be able to answer questions that you had not even considered.

What will you learn in this online course?
You will start knowing Víctor Pascual and his work a little better and you will discover what data visualization consists of.

Then you will learn to develop effective visualizations, for this Víctor will show you the process, the objectives and the basic rules of the Data Visualization. All this accompanied by practical examples with which to assimilate the knowledge in a simple way.

Afterwards, you will perform the data collection and analysis. You will learn to scrape the data, basic knowledge about statistics, what the distribution is and what it is for. In addition, Víctor Pascual will teach the best tricks of Google Spreadsheets (spreadsheets similar to Excel) and the calculation of the z-score or forecast model.

Finally, you will visualize the data with Tableau Public, a data analysis software that allows you to see patterns, identify trends and discover visual information in seconds to finish visualizing the data of your favorite series.

WHAT IS THE FINAL PROJECT OF THE COURSE?

Who is this online course for?
The course is completely transversal and can be completed by people with all kinds of backgrounds but especially for designers, journalists, analysts, Online Marketing

You will visualize your favorite series in an interactive way, for this you will learn how to “scribble” or collect data in www.imdb.com and process them in a spreadsheet. As a final result we will discover what stories are hidden behind the data by seeing details that reflect how we have experienced these series as spectators.
professionals who want to learn how to represent and extract value from data.
Requirements and materials
No prior knowledge is required.

Regarding materials, you will need a computer, internet connection and access to Google Spreadsheets and Tableau Public software.