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Pinal Dave

This course will teach you how to build your very first visualization with the help of ChartBlocks.

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This course will teach you how to build your very first visualization with the help of ChartBlocks.

Every single day, you will come across a lot of data. The labels and numbers can often be confusing to see in a spreadsheet. In this course, Build Your First Data Visualization with ChartBlocks, you will explore how data visualization gives us a complete story and also gives us a prediction of the future. First, you will gain skills to know the basic foundation of ChartBlocks. Next, you will learn how to build your very first visualizations with ChartBlocks. Finally, you will explore where to look for additional help once you have built your very first ChartBlocks. By the end of this course, you will be confident to get started with building your very first visualizations.

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Syllabus

Course Overview
Understanding Data Visualization and ChartBlocks
Creating and Customizing ChartBlocks

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Designed for absolute beginners with no prior experience building data visualizations
Emphasizes the practical application of ChartBlocks for creating data visualizations
Provides a structured learning path for building visualizations from scratch

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Build Your First Data Visualization with ChartBlocks with these activities:
Find a Mentor Who is an Expert in ChartBlocks
Accelerate your learning by seeking guidance from an experienced professional who can provide valuable insights and support.
Show steps
  • Identify someone who is an expert in ChartBlocks.
  • Reach out to them and express your interest in learning from them.
  • Establish regular meetings to receive guidance, feedback, and support.
Read 'Effective Data Visualization' by Stephanie Evergreen
Gain a deeper understanding of the principles and best practices of data visualization to enhance your use of ChartBlocks.
Show steps
  • Obtain a copy of 'Effective Data Visualization'.
  • Read the book and take notes.
  • Apply the concepts and techniques to your own data visualization projects.
Organize Your Notes, Quizzes, and Exams
Improve your overall understanding of the course material by consolidating all the key points and concepts in one place.
Show steps
  • Gather all of your notes, quizzes, and exams.
  • Organize the materials by topic or concept.
  • Review the materials regularly to reinforce your understanding.
Five other activities
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Show all eight activities
Follow a Video Tutorial on Advanced ChartBlocks Techniques
Advance your understanding of ChartBlocks by following a video tutorial that covers advanced techniques.
Show steps
  • Find a video tutorial on advanced ChartBlocks techniques.
  • Follow the steps outlined in the tutorial.
  • Experiment with the advanced techniques in your own projects.
Create 5 Different Types of Visualizations with ChartBlocks
Develop a strong foundation in working with ChartBlocks by practicing the creation of various types of visualizations.
Show steps
  • Create a basic line chart.
  • Create a bar chart with multiple datasets.
  • Create a pie chart showing percentages.
  • Create a scatter plot with regression line.
  • Create a heat map visualization.
Build a Sample Data Visualization with ChartBlocks
Build upon this sample data visualization by customizing the design, adding additional features, and incorporating it into a web page or application.
Show steps
  • Sketch out a plan for your custom visualization.
  • Add your data to ChartBlocks.
  • Customize the appearance of your visualization.
  • Add interactivity to your visualization.
  • Embed your visualization in a web page or application.
Attend a Workshop on Data Visualization with ChartBlocks
Immerse yourself in the topic of data visualization with ChartBlocks by attending a workshop led by experts.
Show steps
  • Find a workshop on data visualization with ChartBlocks.
  • Register for the workshop.
  • Attend the workshop and actively participate.
  • Follow up with the workshop organizers or attendees to continue the discussion.
Mentor a Beginner in Data Visualization with ChartBlocks
Reinforce your understanding of ChartBlocks by guiding and assisting someone who is new to data visualization.
Show steps
  • Find someone who is new to data visualization and is interested in learning about ChartBlocks.
  • Offer to mentor them and provide guidance.
  • Meet with your mentee regularly to answer their questions, provide feedback, and support their progress.

Career center

Learners who complete Build Your First Data Visualization with ChartBlocks will develop knowledge and skills that may be useful to these careers:
Data Visualization Engineer
Data Visualization Engineers create interactive, easy-to-understand data visualizations that communicate insights to stakeholders. This course can help you build a foundation in data visualization, giving you the skills to create visualizations that are both informative and engaging.
Data Analyst
Data Analysts collect, clean, and interpret data to identify trends and patterns. This course can help you build a foundation in data visualization, giving you the skills to create visualizations that effectively communicate your findings.
Business Analyst
Business Analysts identify and solve business problems using data analysis and visualization. This course can help you build a foundation in data visualization, giving you the skills to create visualizations that help you identify opportunities and solve problems.
User Experience Designer
User Experience Designers create products and services that are easy to use and understand. This course can help you build a foundation in data visualization, giving you the skills to create visualizations that are both visually appealing and easy to interpret.
Web Developer
Web Developers create and maintain websites and web applications. This course may be useful for Web Developers who want to learn how to create data visualizations to help users understand their data.
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be useful for Software Engineers who want to learn how to create data visualizations to help them understand and debug their code.
Marketing Manager
Marketing Managers plan and execute marketing campaigns to promote products and services. This course may be useful for Marketing Managers who want to learn how to create data visualizations to help them track the effectiveness of their campaigns and make informed decisions.
Product Manager
Product Managers manage the development and launch of new products. This course may be useful for Product Managers who want to learn how to create data visualizations to help them track the progress of their products and make informed decisions.
Sales Manager
Sales Managers lead and motivate sales teams to achieve sales targets. This course may be useful for Sales Managers who want to learn how to create data visualizations to help them track the performance of their teams and make informed decisions.
Epidemiologist
Epidemiologists investigate the causes of disease and injury. This course may be useful for Epidemiologists who want to learn how to create data visualizations to communicate their findings to stakeholders.
Economist
Economists study the production, distribution, and consumption of goods and services. This course may be useful for Economists who want to learn how to create data visualizations to communicate their findings to stakeholders.
Data Scientist
Data Scientists use data to solve business problems. This course may be useful for Data Scientists who want to learn how to create data visualizations to communicate their findings to stakeholders.
Actuary
Actuaries use mathematics to assess risk and uncertainty. This course may be useful for Actuaries who want to learn how to create data visualizations to communicate their findings to stakeholders.
Financial Analyst
Financial Analysts research and analyze financial data to make investment recommendations. This course may be useful for Financial Analysts who want to learn how to create data visualizations to help them understand and communicate their findings.
Statistician
Statisticians collect, analyze, and interpret data to solve problems. This course may be useful for Statisticians who want to learn how to create data visualizations to communicate their findings to stakeholders.

Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Build Your First Data Visualization with ChartBlocks.
This classic text provides a comprehensive framework for understanding and presenting data visually, emphasizing clarity and effectiveness.
This thought-provoking book emphasizes ethical considerations in data visualization, promoting transparency and accuracy in communicating data.
This foundational text explores the cognitive and perceptual aspects of data visualization, providing insights into how people perceive and interpret visual information.
This practical guide teaches how to communicate data effectively through storytelling, using data visualization and other techniques.
Explores advanced techniques for visualizing and interpreting large and complex datasets, including techniques for handling big data.
This introductory book provides a clear and concise overview of data visualization concepts and techniques, making it accessible to beginners.
Introduces ggplot2, a powerful R library for data visualization, providing a comprehensive overview of its features and capabilities.
This pioneering work examines the intersection of data, technology, and social justice, exploring the biases and power dynamics in data visualization.
This practical guide introduces Tableau, a popular data visualization software, and provides step-by-step instructions for creating interactive and informative visualizations.
This hands-on guide introduces D3.js, a JavaScript library for creating interactive data visualizations, and provides practical examples of its use.

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