Nov 12th, 2021
We’ve produced a list of the Best Online Data Visualization Courses, Tutorials, Training, Classes, and Certifications for 2021. It provides both paid and free materials to assist you in learning Data Visualization, with courses geared for beginners, advanced learners, and specialists.
In this age and era of technology and big data, data visualization is becoming an increasingly necessary talent to have. As organizations become increasingly data-driven, we must comprehend enormous amounts of data and analyze, explain, digest, and compare complex data to anybody who requires comprehension of the data.
Additionally, due to the way our brain processes information, visually displayed data in charts, graphs, or other visual representations is more accessible to comprehend than collections of spreadsheets and reports. A well-designed graphic reveals the layers that surround a raw dataset. As a result, all firms embrace Data Visualization to analyze data more quickly, identify patterns and trends, and uncover meaningful insights. Organizations of all sizes are on the lookout for professionals in data visualization. Thus, the ability to deal with data is not a desirable skill but a necessary one; in fact, it is the skill with the best return on investment in today’s world.
This course is a component of our Professional Certificate Program in Data Science, teaches the fundamentals of data visualization and exploratory data analysis. Three inspiring examples will be used in conjunction with ggplot2, a data visualization application for the statistical computer language R. We will begin with straightforward datasets and progress to case studies on global health, economics, and infectious disease trends in the United States.
As a result, now is the optimal time to master data visualization and stay ahead of the curve. Online courses are an efficient way to acquire the necessary skills and boost your employability. This year, we’ve compiled a list of the Best Online Data Visualization courses, certifications, classes, training programs, and tutorials available. All of these are available online; some are free, while others are inexpensive. These include Tableau, Python, R, d3.js, and Excel.
Data are individual facts, statistics, or items of information, often numeric. With the massive amounts of data flowing between networks and systems, there is so much you can do with it, so much helpful information you can extract, and so many different ways you can make a fortune. And, of course, data also brings a variety of diverse options for learning and earning. One such paradigm in the field of ‘Data Visualization,’ which is quickly becoming a student favorite. There is a distinct lack of usable materials as a primarily new field if you wish to venture into it. Such an environment fosters the spread of misinformation and incorrect directives, which might later prove to be a costly error.
That is precisely why it is critical to have someone competent tell you the trade secrets. We’ve produced a list of the top 15 online data visualization courses that will equip you with in-demand skills that will significantly benefit your career. Our team of experts has meticulously reviewed each of the courses listed here, and as a result, you can rest assured that we have already separated the wheat from the chaff. However, we recommend that you make an informed decision about which data visualization online course is the best fit for you. Thus, without further ado, let us begin. Additionally, information technology specialists may specialize in a particular system or solution and support clients in several locations. These technicians may take inbound calls and provide help over the phone, or they may come to clients’ sites to handle installs, configurations, upgrades, and troubleshooting. A portion of the technician’s time is spent traveling between locations.
This Udacity offers Data Visualization curriculum is a world-class, cutting-edge training program for developing data visualization and communication abilities. Udacity has partnered with Tableau, the world’s most popular data visualization tool, and an outstanding collection of industry veterans with considerable expertise to provide a curriculum focused on the most in-demand skills. The program teaches participants how to produce compelling data visualizations and apply their findings to make data-driven recommendations.
This Data Visualization certification program places a premium on developing storytelling abilities. Because stories are an effective tool for capturing an audience’s attention, making sense of data, and assisting organizations in making better decisions, this program teaches learners how to weave data into tales and visualizations using various tools and strategies. The curriculum covers two data visualization platforms: Tableau and Flourish.
Students develop a portfolio of high-quality projects throughout the semester to demonstrate their data visualization and narrative abilities.
This program is ideal for individuals with a data background who seek to maximize the impact of their studies or for individuals with a business background who wish to encourage others to make more data-driven decisions. It assumes that students have a working knowledge of data analysis fundamentals, such as spreadsheets and descriptive statistics.
The ability to communicate the practical implications of quantitative studies to any audience member is one of the characteristics of excellent business data analysts. Even the most advanced statistical analyses are useless to a corporation if they do not give actionable advice or if the answers to those business problems are not understandable to non-technical personnel.
This course will teach you how to master the art of explaining the business consequences of data analytics. By the conclusion, you’ll understand how to arrange your data analysis projects so that the rewards of your effort benefit your stakeholders. Additionally, you will learn how to rapidly streamline your analyses and highlight their implications through the use of visuals in Tableau, the business world’s most popular visualization application. Using more Tableau tools, you’ll be able to create successful visualizations that take advantage of the human brain’s inherent perceptual and cognitive tendencies to communicate information clearly and directly. Finally, you will experience creating and convincingly presenting business “data stories” that use these visualizations, leveraging time-tested business methodologies and design concepts.
This specialization course teaches you how to reframe business problems as data queries. You’ll analyze data, construct forecasts and models, design visualizations, and explain your findings using powerful tools and approaches such as Excel, Tableau, and MySQL. You’ll use your abilities in the final Capstone Project to investigate and justify improvements to a real-world business process. The Capstone Project is focused on increasing revenue from residential real estate, and Airbnb, the project’s official sponsor, provided advice on the project’s design. Airbnb is the world’s largest platform for short-term rental transactions, connecting homeowners with travelers. Each year, the top ten Capstone graduates will be invited to present their work live to senior data scientists at Airbnb for criticism and debate.
This Tableau training for Data Visualization was developed in conjunction with Tableau and is available through the Coursera platform. It is one of the best blends of theory and practice in Tableau, beginning with the core notions of data visualization and the many tools available in Tableau and progressing through creating multi-frame data stories in Tableau.
This specialization course is developed in partnership with Tableau, is designed for individuals new to data visualization who have no prior experience with Tableau. We use Tableau’s resource catalog to illustrate recommended practices for data visualization and storytelling. You’ll see real-world commercial examples as well as journalistic ones from prominent media businesses.
By the time you complete this specialization, you will be able to create sophisticated reports and dashboards that will assist people in making decisions and taking action based on their company data. You will use Tableau to build high-impact representations of popular data analysis to aid in the visualization and comprehension of your data. You will use predictive analytics to help businesses make better decisions. The Specialization concludes with a Capstone Project. You will use sample data to construct visualizations, dashboards, and data models to present a fictional company’s executive leadership.
IBM designed this Data Visualization online course, which is available through Coursera. This Data Visualization Course is one of the most popular data visualizations with Python courses, with over 85K students previously registered. It teaches students how to use Python to visualize data to extract information, improve their understanding, and make more informed judgments. It covers many Python data visualization packages, including Matplotlib, Seaborn, and Folium, which visually portray the data.
The primary objective of this Python Data Visualization course is to teach you how to take data that appears to have little meaning and show it in a way that makes sense to others. Numerous methods for visualizing data have been created, but we will use several Python data visualization tools in this course, including Matplotlib, Seaborn, and Folium.
A critical skill is a data scientist’s ability to tell a captivating story, visually representing data and insights in an understandable and stimulating manner. Learning how to visualize data effectively can also assist you in extracting information, having a better understanding of the data, and making more informed judgments.
You will receive hands-on teaching in advanced Excel 2013 functionalities throughout the Data Visualization with Advanced Excel course. You’ll learn how to create databases and data models using PowerPivot. We’ll demonstrate how to do several sorts of scenario and simulation analyses and provide practice with some of Excel’s built-in features, including the solver, data tables, scenario manager, and goal search. The second half of the course will teach how to visualize data, tell a story, and explore it through reviewing critical data visualization and dashboarding principles. You’ll begin by using Excel to create complicated graphs and Power View reports, which you’ll then combine into dynamic dashboards.
PwC Online Courses PricewaterhouseCoopers (PwC) developed this course as part of their Data Analysis and Presentation Skills: the PwC Approach Specialization. This course aims to assist learners in developing their analytical skills by answering questions and using their facts to build a story. It teaches data visualization abilities through Excel, the most extensively used software application that is readily available to the majority of learners.
Jose Portilla designed the Learning Python for Data Analysis and Visualization course, which is available on Udemy. The purpose of this course is to equip learners with a thorough understanding of Python and how to use it for data analysis and visualization successfully. This course introduces NumPy, pandas, data import and export in Python, and how to visualize data using Python libraries and data portfolio projects. Additionally, it discusses machine learning with Scikit-Learn. Further, it includes appendix materials on statistics, SQL with Python, and web scraping with Python.
The course has over 21 hours of video content divided into 100+ lectures, sample python code notebooks, extra articles and reading materials, and many data analysis projects that learners can utilize to build their portfolios.
The Mastering data visualization in D3.js course will also cover data visualization design, assisting you in making more informed judgments regarding the structure of your code and teaching you how to justify your choices to others. You’ll discover how to choose the optimal visual channels for the data you’re working with to produce genuinely distinctive representations.
The University of Illinois at Urbana-Champaign offers this course in data visualization as part of its Data Mining Specialization. It teaches students the fundamental principles, methodologies, and applications of pattern discovery in-depth. It educates students about various visualization methods, how computer graphics convey data, how we perceive and observe data.
Acquire a working knowledge of data mining’s fundamental principles, processes, and applications. Then explore one of data mining’s subfields: pattern finding. Acquire a thorough understanding of the concepts, methodologies, and applications of data mining pattern finding. Additionally, we will discuss pattern-based categorization techniques and some exciting pattern discovery applications. This course teaches you the skills and knowledge necessary to practice and engage in scalable pattern discovery methods on massive transactional data, explore pattern evaluation metrics, and investigate ways for mining various types of patterns, sequential patterns, and sub-graph patterns.
This course is part of the Data Mining Specialization’s Data Visualization track. The Data Mining Specialization offers data mining techniques for structured data that follows a well-defined schema and unstructured data in natural language text. Pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization are some of the specific subjects covered in this course. The Capstone project requires students to address real-world data mining problems using Yelp restaurant review data.
This Information Visualization Specialization course equips students with the knowledge and abilities necessary to build a solid foundation in information visualization and design and develop advanced applications for visual data analysis.
The specialization is defined by two complementary characteristics: (1) providing a thorough understanding of visual perception and visual encoding theory to design and evaluate novel visualization methods, and (2) providing the necessary skills for developing advanced web-based applications for visual data analysis.
The specialization is structured around four courses covering principles of perception, applied perception, advanced visualization methods, and interactive visualization. This course is to educate students to work on complicated data science projects that involve the construction of interactive data analysis visual interfaces.
If you’re a Python enthusiast who wants to wow clients or employers with visually stunning data visualization in the browser, Bokeh is the way to go. This course will walk you through the entire process of understanding Bokeh, a Python toolkit for creating complex graphical data dashboards with stunning interactive visuals. The course will walk you through charting simple datasets to developing complex and elegant data visualization web apps that plot data in real-time and enable online users to interact with and change the behavior of your plots via their browsers.
This course is ideal for anyone who works with data regularly, whether they are a data analyst, data scientist, statistician, or any other professional. It will equip you with the skills necessary to visualize data in a way that engages your audience and ultimately sells your product or concept. All that is required to learn Bokeh is a working grasp of Python.
Additionally, the course includes activities that will assist you in assessing your abilities as you develop. You will get access to various data sets and other examples to help you practice your Bokeh skills. The course should take approximately four weeks to finish if you commit 10-20 hours each week, depending on your productivity level.
This Python Data Visualization course, accessible on Codecademy, teaches students to visualize data visually using the Matplotlib and Seaborn libraries. It assumes that participants have a working grasp of Python programming, including writing functions, working with lists and loops, and invoking methods on objects.
You will develop confidence in the competencies required of organizations in 2021 due to this learning resource. Data analysis is the most in-demand approach in the learning resource that is regularly referenced by businesses. Python is the most appropriate tool. Additionally, you will learn about Programming Skills, a characteristic that is usually included in job listings.
When we visualize data graphically, we may quickly identify the patterns and insights we seek. It becomes easier to grasp challenging concepts and recognize emerging trends that we may have missed previously. We can use data visualizations to make an argument, test a theory, or discover new ways to look at our reality.
The presentation of data using graphics is called data visualization. It’s a way to summarize your findings and present them in a way that makes them easier to read and may aid in discovering patterns or trends. This course will teach you to design stunning graphics and charts, allowing you to customize their appearance and feel complete.
This course takes a holistic approach to Big Data, addressing questions such as: What is Big Data? How are we going to deal with Big Data? Why are we so fascinated by it? What is the definition of a Big Data platform?
The course emphasizes the importance of studying Big Data to generate knowledge that can motivate individuals throughout the firm to run the business more efficiently and provide superior customer service. Rather than using a single open-source system such as Hadoop, the course proposes processing Big Data on a platform capable of handling the diversity, velocity, and volume of data through the use of a family of components that require integration and data governance. Big Data is both NoHadoop (“not just Hadoop”) and NoSQL (“not exclusively SQL”).
Tableau is a widely used data analytics and visualization tool that many consider vital for work connected to data science. Its drag-and-drop interface enables simple sorting, comparison, and analysis of data from various sources, including Excel, SQL Server, and cloud-based data repositories. In this course, you’ll learn how to use Tableau Desktop to analyze and visualize data and make smarter data-driven decisions for your business. Learn how to install Tableau, connect to data sources, and sort and filter data. Curt Frye also illustrates how to construct and alter data visualizations, such as highlight tables, charts, scatter plots, histograms, maps, dashboards, and how to share them.
Data visualization is a critical visual technique for communicating effectively and analyzing massive datasets. We can derive conclusions from data that are not immediately visible and engage with it in wholly new ways using data visualizations.
This course will introduce you to the methods, tools, and processes involved in visualizing large amounts of data. Additionally, we will study the usage of visualization briefly throughout history, stretching back to 17000 BC.
It is a starting course to information examination, cleaning, and perception. You will show the nuts and bolts of information examination through significant models. Likewise, you would figure out how to function with crude information, clean it, structure meaningful data, and imagine something similar through factual devices. The course expects you to make them work information on Python and sound nuts and bolts in insights.
This class is a prologue to information cleaning, examination, and perception. We will walk you through as we break down real-world datasets. Every day, we will go through the initial 30 minutes presenting the day’s ideas and use whatever might remain of the class doing the lab works out. We have composed a day-by-day walkthrough that you will peruse and program through in class, and we will be accessible to help. This is our first time showing this course, and we’ll learn as much as you. Try not to spare a moment to request that we change something or develop something. We’ll be appreciative.
We accept you have functioning information on Python (maybe from 6.01) and will compose code. The vast majority of the code you interface with will accompany a model that you can change. Ideally, you will not have to manage an excessive amount of custom code—except if you’re propelled to compose more! We anticipate introducing a few advancement-related Python modules and downloading the datasets we will use in the class. You can find directions under Day 0 in the Lectures and Labs segment.
The world is becoming more and more connected. This has led to a higher demand for data visualization, so there are now data visualization courses and certifications available. Data visualization provides an easy way to digest data information in a way that can be quickly understood. Data visualization courses cover topics such as statistics, design principles, and different programming languages such as Python, among others.
We suggest you attempt more than one class to make as much progress as expected concerning the information. Additionally, you can decide to stay with one sort on the off chance you are searching for explicit abilities. However, most of these information representations online courses share an excellent deal. Tell us about your questions, ideas, inquiries, and criticism. We love to hear from you. Till then, at that point, continue to learn!
Data visualization is analyzing data and translating the information into highly communicative graphics. The data visualization process can be used in tandem with data mining to extract valuable knowledge, or it can use it independently for presentation purposes. Data visualization courses are available at both the undergraduate and graduate levels, which offer students an opportunity to construct visual displays of data.
There are many benefits to taking a data visualization course. One of the most important benefits is that it helps you get more comfortable with data visualization on your projects. It also introduces the various types of data visualizations and the tools used for them, so you can know what to use when creating data visualizations on your own.
A data visualization course will give you an understanding of creating powerful visualizations that are both creative and informative. You’ll also get the opportunity to learn about the latest tools and techniques in the field while learning how to tell more complex stories with data.
Data visualization is an exciting field with many growth opportunities. Many people are interested in exploring this diverse field, but they are unsure where to start. It has become increasingly popular as the demand for computer scientists and software engineers grows. You can get certified through our Data Science Academy in just 12 weeks!
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