Data Visualization for Marketing Insights

Name: Data Visualization for Marketing Insights
Rating: 4.8 (7 reviews)

Learn how to use the right chart and build dashboards.

Created byLarissa Perfeito

Last updated 6/2025

English

English [Auto],

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.

Course content

5 sections • 41 lectures • 3h 57m total length

Start Here!1:41
Learn to communicate through data by mastering visualization basics, choosing the right graphs, and building dashboards across four units on design, dashboards, and tutorials.

Special Class12:08
Explore how to visualize business data with charts and dashboards, apply the Pareto principle (80/20), and translate insights into decisions about customer profiles, loyalty, upselling, and growth.
Unit 1 Class 1. Part I "Data Reading"9:50
Explore how data reading uses graphs and tables to deliver immediate insights, guiding marketing decisions through tv versus internet audience, ads, and interactivity.
Unit 1 Class 1. Part II "Data Reading"9:02
Learn how to test data visualizations for clarity by asking users what they understand, and examine how Western Z-reading and cultural differences shape reading and design.
Unit 1 Class 2.1 "Horizontal Bar Charts (Ranking)"10:06
Explore horizontal bar charts for ranking to compare sales clearly, using soap as top example; learn why horizontal orientation enhances reading order and readability, with the less is more principle.
Unit 1 Class 2.1 - Exercises4:22
Analyze and compare pie charts and horizontal bar charts to improve readability in marketing data, noting color, captions, and source. Explore time visualization with vertical bars to convey trends clearly.
Unit 1 Class 2.2 "Vertical Bar Charts (Time)"11:34
Vertical bar charts effectively show time-based data, enabling clustering or stacking to compare months for paid media and SEO, guiding storytelling for owners.
Unit 1 Class 2.2 - Exercises3:34
Analyze temperature data visualizations, compare stacked versus non-stacked bar charts, and interpret color cues to understand time-based trends from 1940 to 2020 and the first half of 2024 and 2025.
Unit 1 Class 2.3 "Funnel Chart"10:38
Explore how funnel charts illustrate the marketing journey from awareness to purchase, showing how volumes shrink and why remarketing sustains the path to sale.
Unit 1 Class 2.3 - Exercises2:23
Analyze graphs and read data using bar charts, horizontal bars, and comparative funnel charts to compare men and women across companies with color for clarity.
Unit 1 Class 3 - "Line and Area Chart"8:25
Explore line and area charts for time-based data, compare multiple series (paid, organic, total), and learn when to use line versus bar charts, plus arrow charts for inter-spaced data.
Unit 1 Class 3 - Exercises2:19
Analyze vertical bar charts of cost, profit, and net value across months to compare performance and build creative, efficient data visualizations through practice.
Unit 1 Class 4.1 "Pie Chart"9:48
Explore how pie charts visualize percentage of the whole to compare market share among dog food brands, and switch to bar charts or pie of pie when data is dense.
Unit 1 Class 4.1 - Exercise4:43
Transform a graph into a pie visualization and use color to highlight SEO versus paid opportunities, improving marketing insights through clear donut chart examples.
Unit 1 Class 4.2 "Donut Chart"2:16
Explore donut charts and pie charts to compare percentages and highlight items, understand when to use each for marketing data, and practice visualizing many categories with a central hole.
Unit 1 Class 4.2 Exercise1:01
Explore donor charts and how they convey percentage by highlighting each element, such as coal, natural gas, oil, and industry segments. Next, learn gauge charts.
Unit 1 Class 4.3 "Gauge Chart"4:03
Show how a gauge chart visualizes goals and progress like a speedometer using color cues. Use customer satisfaction and a B2B opportunities example to interpret green, yellow, and red signals.
Unit 1 Class 4.3 - Exercise1:21
Analyze a three-country graph showing France 30%, United Kingdom 90%, and United States 70% to compare progress against a target, illustrating efficient data visualizations for marketing insights.
Unit 1 Class 5. "Map Chart" (Location)2:28
Utilize a chloropleth map to display data by location, highlighting infections and hospitalizations with color across Brazil's northeast, north, midwest, southeast, and south regions.
Unit 1 Class 5 - Exercise4:02
Use data visualization to analyze hunger distribution with a choropleth map, contrasting Brazil’s 2014 progress and Africa’s hunger, and reveal global student distribution for marketing insights.

Unit 2 Class1 - "Visualization"12:06
Design data visualizations to prioritize clarity, using patterns and a simple structure for marketing insights. Prefer 2D over 3D, and vertical bar charts for information through time and easy understanding.
Unit 2 Class 1 - Exercise2:40
Remake a 3D pie chart into 2D to improve visualization, then compare a light background design to boost readability in data visualization for marketing insights.
Unit 2 Class 2. "Colors"11:34
Explore the color wheel to create analogous colors, complementaries, or triangle color schemes, apply color codes for consistency, and consider context, culture, and color temperature in data visualization design.
Unit 2 Class 2 - Exercise2:25
Explore complementary and analogous colors on the color wheel, triangle schemes, practice combinations, and assess graphs for customer satisfaction using red for bad, yellow for rotation, and green for excellent.
Unit 2 Class 3 "Fonts"7:36
Explore serif, sans serif, cursive, and artistic fonts and how each style shapes brand identity and tone. Learn that font choices reflect time, region, identity, and purpose, with logo examples.
Unit 2 Class 3 - Exercise3:06
Analyze font evolution and styles in branding and posters, comparing serif, sans serif, and cursive artistic fonts, using Netflix examples to identify how typography conveys meaning.
Unit 2 Class 4. "Icons"7:25
Explore icons in data visualization, learning to use black and white icons for dashboards and tutorials. Apply a unified design approach with similar icons to convey meaning clearly.
Unit 2 Class 4 - Exercise2:03
Observe the star schema and remake the icons with a similar design, using Canva to reflect symptoms like excessive sweating, palpitations, insomnia, and weight loss.
Unit 2 Class 5. "Layout"8:09
Design and apply a layout that uses hierarchy, harmonious colors, typography, and icons to improve readability and appeal of data visualizations, with guidance from star schema and snowflake concepts.
Unit 2 Class 5 - Exercise2:24
Analyze a snowflake visualization centered on Amazon, revealing two layers of clarity and impact across competitors like Netflix and AWS and Google Cloud Storage.

Unit 3 Class 1. "Definition, Structure and Tools"6:49
Define the goal and build a dashboard that combines graphs and tables into a panel. Use Studio, Excel, Canva, HubSpot, Tableau, and Domo to visualize conversions and monthly finances.
Unit 3 Class 1. Exercise1:24
Practice exercise highlights that dashboards can be built using templates and that defining and organizing objectives are key challenges, while encouraging learning Power BI or Google Locher Studio.
Unit 3 Class 2. "Building Dashboards"9:26
Build dashboards from readymade templates to compare April 24 revenue between Udemy and the author, analyze roas, and explore lifetime value for marketing insights.
Unit 3 Class 2. Exercise7:16
Organize loose information in dashboards using discursive data visualization, focusing on reach, impressions, and frequency. Apply guiding questions and compare templates in exercises to optimize storytelling campaign dashboards in Canva.
Unit 3 Class 3. "Analysing Dashboards"4:51
Analyze dashboards to compare layouts and chart types, interpret conversions, sessions, and traffic, and evaluate visualizations like donut, horizontal bar, and line charts across platforms.
Unit 3 Class 3 - Exercise2:22
Analyze the personal income and expense flow dashboard and create a new dashboard using vertical bar charts with time and a donut chart with percentage; adjust colors and layout.
Unit 3 Class 4. "Essencial Tips"3:13
Explore essential tips for building dashboards using free Google tools (Gmail, Google Documents, Google Presentations, Google Sheets) alongside paid options, and compare with Microsoft equivalents for marketing insights.

Dashboard 1.16:09
Create a clear dashboard in Canva using readymade templates, guided by the Udemy vs. author revenue question, with pie and line charts.
Dashboard 2.4:33
Analyze advertising investments and return on ad spend using April 2024 data from lists and bank records to inform dashboard two insights.
Dashboard 3.3:00
Build and transform dashboard 3 using meta platform data to answer the guiding question about the public profile in the storytelling campaign, using impressions, reach, gender, spend, and clicks.
Dashboard 4.3:13
Explore dashboard design and template variations for marketing storytelling, comparing light versus black backgrounds, with speedometer gauges and frequency analysis to inform public profiles.

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.

Who this course is for:

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

Data Visualization for Marketing Insights

What you'll learn

Explore related topics

Course content

Introdução1 lecture • 2min

UNIT 1. KEY POINTS19 lectures • 1hr 54min

UNIT 2. DESIGN10 lectures • 59min

UNIT 3. DASHBOARD7 lectures • 35min

UNIT 4. TUTORIAL4 lectures • 27min

Requirements

Description

Who this course is for: