Data Visualization For Marketing Insights

Posted By: ELK1nG

Data Visualization For Marketing Insights
Published 6/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.31 GB | Duration: 3h 55m

Learn how to use the right chart and build dashboards.

What you'll learn

Produce graphics according to marketing strategy.

Using the right chart at the right time.

Learning to read a graph.

Build dashboards.

Understand graphic design: types, colors, meanings and applications.

Build charts and dashboards without complicated software.

Requirements

Internet access.

Description

The course "Data Visualization for Marketing Insights" was developed by university professor Larissa Perfeito, who has been teaching since 2006.The course aims to identify the right type of graph for each data. For example, to demonstrate a company's profit over 5 years, is it better to use a bar graph or a pie chart? Or a line graph? Or an area graph? The professor defines the functions of each graph and puts their applicability into practice during the classes. She also demonstrates when graphs are not efficient, causing doubt in the viewer. She also addresses storytelling, that is, the story contained in each graph and the persuasion of those who will present the data.All classes have practical exercises, commented by professor Larissa, on video. And also, PDF pages that were used during the classes and are provided to the student.The course also aims to build dashboards - without the use of software, but rather using ready-made templates that facilitate and speed up the time of those who need to build panels with data.The "Data Visualization for Marketing Insights" course has four units. The first, called "Key Points", teaches the types of graphs and reading in Z. The second, "Design", covers colors, fonts, icons and layout. And the third, "Dashboards", teaches how to build and analyze dashboards. Finally, in the "Tutorial" unit, the teacher demonstrates step by step how to build graphs and dashboards, free of charge and without the use of software.This is a dynamic, well-illustrated course with valuable teaching material that will greatly help those who wish to learn about data storytelling.

Overview

Section 1: Introdução

Lecture 1 Start Here!

Section 2: UNIT 1. KEY POINTS

Lecture 2 Special Class

Lecture 3 Unit 1 Class 1. Part I "Data Reading"

Lecture 4 Unit 1 Class 1. Part II "Data Reading"

Lecture 5 Unit 1 Class 2.1 "Horizontal Bar Charts (Ranking)"

Lecture 6 Unit 1 Class 2.1 - Exercises

Lecture 7 Unit 1 Class 2.2 "Vertical Bar Charts (Time)"

Lecture 8 Unit 1 Class 2.2 - Exercises

Lecture 9 Unit 1 Class 2.3 "Funnel Chart"

Lecture 10 Unit 1 Class 2.3 - Exercises

Lecture 11 Unit 1 Class 3 - "Line and Area Chart"

Lecture 12 Unit 1 Class 3 - Exercises

Lecture 13 Unit 1 Class 4.1 "Pie Chart"

Lecture 14 Unit 1 Class 4.1 - Exercise

Lecture 15 Unit 1 Class 4.2 "Donut Chart"

Lecture 16 Unit 1 Class 4.2 Exercise

Lecture 17 Unit 1 Class 4.3 "Gauge Chart"

Lecture 18 Unit 1 Class 4.3 - Exercise

Lecture 19 Unit 1 Class 5. "Map Chart" (Location)

Lecture 20 Unit 1 Class 5 - Exercise

Section 3: UNIT 2. DESIGN

Lecture 21 Unit 2 Class1 - "Visualization"

Lecture 22 Unit 2 Class 1 - Exercise

Lecture 23 Unit 2 Class 2. "Colors"

Lecture 24 Unit 2 Class 2 - Exercise

Lecture 25 Unit 2 Class 3 "Fonts"

Lecture 26 Unit 2 Class 3 - Exercise

Lecture 27 Unit 2 Class 4. "Icons"

Lecture 28 Unit 2 Class 4 - Exercise

Lecture 29 Unit 2 Class 5. "Layout"

Lecture 30 Unit 2 Class 5 - Exercise

Section 4: UNIT 3. DASHBOARD

Lecture 31 Unit 3 Class 1. "Definition, Structure and Tools"

Lecture 32 Unit 3 Class 1. Exercise

Lecture 33 Unit 3 Class 2. "Building Dashboards"

Lecture 34 Unit 3 Class 2. Exercise

Lecture 35 Unit 3 Class 3. "Analysing Dashboards"

Lecture 36 Unit 3 Class 3 - Exercise

Lecture 37 Unit 3 Class 4. "Essencial Tips"

Section 5: UNIT 4. TUTORIAL

Lecture 38 Dashboard 1.

Lecture 39 Dashboard 2.

Lecture 40 Dashboard 3.

Lecture 41 Dashboard 4.

Digital Marketers, Content Marketers, Entrepreneurs, Managers, Coordinators, Students.