Course Introduction and Specialization

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Del curso dictado por University of California, Davis

Fundamentals of Visualization with Tableau

1958 calificaciones

University of California, Davis

Fundamentals of Visualization with Tableau

1958 calificaciones

Curso 1 de 5 en SpecializationData Visualization with Tableau

In this first course of the specialization, you will discover just what data visualization is, and how we can use it to better see and understand data. Using Tableau, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer. By the end of the course you will be able to prepare and import data into Tableau and explain the relationship between data analytics and data visualization. This course is designed for the learner who has never used Tableau before, or who may need a refresher or want to explore Tableau in more depth. No prior technical or analytical background is required. The course will guide you through the steps necessary to create your first visualization story from the beginning based on data context, setting the stage for you to advance to the next course in the Specialization.

De la lección

Getting Started & Introduction to Data Visualization

Welcome to this first module, where you will begin to discover the power of data visualization. You will define the meaning and purpose of data visualization and explore the various types of data visualization tools, beyond Tableau. You will install Tableau on your own device and create your first visualization.

Course Introduction and Specialization2:53

Conoce a los instructores

Suk S. Brar, M.B.A.
Lead Business Consultant
Blue Shield of California
Govind Acharya
Principal Analyst
Budget and Institutional Analysis

[MUSIC]

Hi everyone, my name is Govind Acharya and

I'd like to welcome you to the Fundamentals of Visualization.

This is the first course with the data visualization and

storytelling specialization brought to you by UC Davis Extension.

I'm very excited to be a part of this.

And I hope you will get a lot out of this course.

I've been working in data analytics and visualization for

over a decade in industry, higher education, and the nonprofit world.

For both industry and higher education, I developed diversity dashboards and

profiles to allow senior leaders to examine gaps in hiring and admission.

In the nonprofit sector,

I use data visualization to identify potential fundraising opportunities,

that were not evident from simply looking at spreadsheets.

A famous American baseball player and coach,

Yogi Berra, once said that, you can see a lot by looking.

And, he's so right.

This is what data visualization is all about.

It's taking a bunch of numbers and texts and

transforming them into something our brain can process.

This specialization will be a hands on examination of data visualization and

storytelling.

We're going to assume that you're new to the field of data visualization.

But once you've completed the various courses within the specialization,

you'll have a solid base that you can use with in your career.

This particular courses been broken into four modules.

In the first module, we're going to identify what types of software options

are available to do visualizations and define common terminology.

You will install Tableau Public software on your own computer and

do a visualization.

In the second module, you will navigate and practice the nuts and

bolts of Tableau Public.

It's a pretty intuitive piece of software, but it's important for

us to be on the same page with the basics.

The third module is being taught by my colleague Suk Brar.

Suk has over ten years of experience in statistical and

predictive analysis, data forecasting, and data visualization.

He brings with him a unique perspective,

as he has worked in various industries throughout his career.

In that module you will prepare and import data into Tableau Public.

In the final module of this course I want to take a step back and

help you think about how to contextualize your questions so

that the data visualizations can answer those questions.

You will be able to determine how your visualization will address the who,

what, and how of a data context.

Again, I'm really excited you're taking this course and

I think that you'll learn a lot.

So let's dive right in and get started.

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