Table of Contents
Best Data Visualization Courses 2022
Data Visualization
You’ll start by building data visualizations and dashboards, considering your audiences to be as effective as possible. Then, you’ll move into drafting presentations using storytelling techniques, visualizations, and animations to provide data-driven recommendations.
Communicating effectively is one of the most important skills needed today, and every business is collecting data to make informed decisions. Build on your data or business background to drive data-driven recommendations. Whether you are a data analyst looking to communicate more effectively, or a business leader looking to build data literacy, you will finish this program able to use data effectively in visual stories and presentations.
Data Visualization with Python
“A picture is worth a thousand words”. We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.
One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions.
The main goal of this IBM Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium.
Data Visualization with Tableau
This Specialization by University of California, Davis (UC Davis), in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau’s library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.
In this first course of this specialization, you will discover 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 from the beginning based on data context, setting the stage for you to advance to the next course in the Specialization.
By the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.
Data Visualization & Dashboarding with R Specialization
This Specialization from Johns Hopkins University is intended for learners seeking to develop the ability to visualize data using R. Through five courses, you will use R to create static and interactive data visualizations and publish them on the web, which will you prepare you to provide insight to many types of audiences.
Learners will generate many different types of visualizations to explore data, from simple figures like bar plots and scatter plots to interactive dashboards. Learners will integrate these figures into reproducible research products and share them online. Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work – which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance.
To fill that need, this course is intended for learners who have little or no experience with R but who are looking for an introduction to this tool. By the end of this course, students will be able to import data into R, manipulate that data using tools from the popular tidyverse package, and make simple reports using R Markdown. The course is designed for students with good basic computing skills, but limited if any experience with programming.
Data Storytelling and Data Visualization [2022]
![Data Storytelling and Data Visualization [2022]](https://img-c.udemycdn.com/course/480x270/3002664_21f4_4.jpg)
The most updated and complete Storytelling with Data and Data Visualization course on Udemy! You’ll learn the skills that make up the entire art of speaking the language of data: from communicating with data, to creating impactful data visualizations, to storytelling with data, to driving action with data-driven decisions, and finally to creating stunning communications, that will leave a lasting impression on an audience and get results.
Right now in 2022, there is a huge shortage of people who can effectively communicate with data – recruiters and businesses the world over are seeking professionals who can turn data into a meaningful story. The demand for talented professionals who can compel and audience with a well crated and engaging story from data is increasing at an insane rate. More and more companies are finally figuring out how important it is to be able to converse with data and the role it plays to their success.
you’ll learn:
Storytelling with data
Data visualization
Create rich informative data graphs
Craft compelling narratives with data
Speak the language of data
Create impactful data visualisztions
Discover important context to understand data
Format your graphs for impact
Turn default graphs from tools such as Excel and Google Sheets into effective data communications
Data Visualization with Advanced Excel
In this PWC Data Visualization course, you will get hands-on instruction of advanced Excel 2013 functions. You’ll learn to use PowerPivot to build databases and data models. We’ll show you how to perform different types of scenario and simulation analysis and you’ll have an opportunity to practice these skills by leveraging some of Excel’s built in tools including, solver, data tables, scenario manager and goal seek. In the second half of the course, will cover how to visualize data, tell a story and explore data by reviewing core principles of data visualization and dashboarding. You’ll use Excel to build complex graphs and Power View reports and then start to combine them into dynamic dashboards.
Best Data Visualization Books 2022
Storytelling with Data: A Data Visualization Guide for Business Professionals
- Wiley
- Language: english
- Book - storytelling with data: a data visualization guide for business professionals
Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You’ll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation.
Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don’t make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you’ll learn how to:
Understand the importance of context and audience
Determine the appropriate type of graph for your situation
Recognize and eliminate the clutter clouding your information
Direct your audience’s attention to the most important parts of your data
Think like a designer and utilize concepts of design in data visualization
Leverage the power of storytelling to help your message resonate with your audience
Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!
Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks
- Schwabish, Jonathan (Author)
- English (Publication Language)
- 464 Pages - 02/09/2021 (Publication Date) - Columbia University Press (Publisher)
Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually.
This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through more than five hundred examples, he demonstrates the dos and donts of data visualization, the principles of visual perception, and how to make subjective style decisions around a charts design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place in the visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that best fits for your data, and clearly communicate your message.
Data Visualization Made Simple: Insights into Becoming Visual
- Sosulski, Kristen (Author)
- English (Publication Language)
- 284 Pages - 09/21/2018 (Publication Date) - Routledge (Publisher)
Data Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-world cases for data visualization, an essential skill required in today’s information-rich world. With foundations rooted in statistics, psychology, and computer science, data visualization offers practitioners in almost every field a coherent way to share findings from original research, big data, learning analytics, and more.
In nine appealing chapters, the book:
examines the role of data graphics in decision-making, sharing information, sparking discussions, and inspiring future research;
scrutinizes data graphics, deliberates on the messages they convey, and looks at options for design visualization; and
includes cases and interviews to provide a contemporary view of how data graphics are used by professionals across industries
Both novices and seasoned designers in education, business, and other areas can use this book’s effective, linear process to develop data visualization literacy and promote exploratory, inquiry-based approaches to visualization problems.
- Wiley
- Language: english
- Book - storytelling with data: a data visualization guide for business professionals
- Schwabish, Jonathan (Author)
- English (Publication Language)
- 464 Pages - 02/09/2021 (Publication Date) - Columbia University Press (Publisher)
- Wilke, Claus (Author)
- English (Publication Language)
- 387 Pages - 05/14/2019 (Publication Date) - O'Reilly Media (Publisher)
- Healy, Kieran (Author)
- English (Publication Language)
- 296 Pages - 12/18/2018 (Publication Date) - Princeton University Press (Publisher)
- Kusleika, Dick (Author)
- English (Publication Language)
- 352 Pages - 01/29/2021 (Publication Date) - Wiley (Publisher)
- Evergreen, Stephanie (Author)
- English (Publication Language)
- 352 Pages - 05/14/2019 (Publication Date) - SAGE Publications, Inc (Publisher)
- Clarke, Elizabeth (Author)
- English (Publication Language)
- 528 Pages - 11/10/2022 (Publication Date) - Kenneth M Fornari (Publisher)
- Camm, Jeffrey D. (Author)
- English (Publication Language)
- 448 Pages - 05/18/2021 (Publication Date) - Cengage Learning (Publisher)
- Hyman, Jack A. (Author)
- English (Publication Language)
- 832 Pages - 04/09/2024 (Publication Date) - For Dummies (Publisher)
- Bremer, Nadieh (Author)
- English (Publication Language)
- 428 Pages - 02/09/2021 (Publication Date) - A K Peters/CRC Press (Publisher)