The best Data Visualization course online & Training to Learn Best Data Visualization tutorials for beginners to advanced level.

Best Data visualization course online is a general term that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software.

Best Data Visualization Course online and trainings

  1. Learning Python for Data Analysis and Visualization
  2. Data Visualization with Tableau
  3. Introduction to Data Visualization: From Data to Design
  4. Learn Data Visualization in D3.js (D3 Library Intro Course)
  5. Data Visualization on the Browser with Python and Bokeh
  6. Data Visualization with Python
  7. Data Visualization and Communication with Tableau
  8. Data Visualization
  9. Craft Impactful Narratives with Data
  10. Data Visualization Courses
  11. Data Visualization in Python
  12. Data Visualization Online Courses
  13. Data Visualization Online Courses
  14. Big Data: Data Visualisation - Online Course
  15. How to Process, Analyze and Visualize Data

1.Learning Python for Data Analysis and Visualization

Learn python and how to use it to analyze,visualize and present data. Includes tons of sample code and hours of video.

⭐ : 4.3 (11,283 ratings)

With this Best Data Visualization course online, you will:

  • Have an intermediate skill level of Python programming.
  • Use the Jupyter Notebook Environment.
  • Use the numpy library to create and manipulate arrays.
  • Use the pandas module with Python to create and structure data.
  • Learn how to work with various data formats within python, including: JSON,HTML, and MS Excel Worksheets.
  • Create data visualizations using matplotlib and the seaborn modules with python.
  • Have a portfolio of various data analysis projects.

This Best Data Visualization course online will give you the resources to learn python and effectively use it analyze and Data Visualization course. You'll get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyze data. You will also get lifetime access to over 100 example python code notebooks, new and updated videos, as well as future additions of various data analysis projects that you can use for a portfolio to show future employers.

You can take Learning Python for Data Analysis and Visualization Certificate Course on Udemy.

2.Data Visualization with Tableau

Learn Best Data Visualization Course Online with Tableau from University of California, Davis. In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides.

With this best Data Visualization course online, you will:

  • Examine, navigate, and learn to use the various features of Tableau
  • Assess the quality of the data and perform exploratory analysis
  • Create and design visualizations and dashboards for your intended audience
  • Combine the data to and follow the best practices to present your story

This Data Visualization course Specialization, 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. 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.

This Data Visualization course 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.

You can take Data Visualization course with Tableau Certificate Course on Coursera.

3.Introduction to Data Visualization: From Data to Design

Join information designer Nicholas Felton for a smart, comprehensive, and inspiring intro to data visualization. You'll learn how to build a data set, transform information into graphics, and unlock the storytelling power of data. This 90-minute class centers on a fun project called "condensing the news."

Inspired by one of Nicholas's favorite prompts, you'll follow your curiosity, studying a newspaper section's words or images build your data set from connections you discover design the data into a single, revealing graphic Everyone who wants to quickly understand, communicate, and persuade with data visual thinkers, content strategists, marketers, designers, will embrace this class. With a signature mix of demonstration, slides, and real-world examples, this class brings data visualization to life.

You can take Introduction to Data Visualization course: From Data to Design Certificate Course on Skillshare.

4.Learn Data Visualization in D3.js (D3 Library Intro Course)

Design and build beautiful data visualizations with d3.js. An intensive introduction to the D3 library.

⭐ : 4.4 (1,608 ratings)

With this Data Visualization course, you will:

  • Understand the fundamental building blocks of D3
  • Gain a wide breadth of knowledge, learning how to create 14 different visualizations
  • Critique existing visualizations and invent better designs for displaying data
  • Interpret open source code from the D3 community for use in your own projects
  • Master advanced tools in D3, building choropleth maps, brushes, tooltips, and layouts
  • Develop substantial web apps, with multiple visualizations on the page at once
  • Articulate original abstract ideas with compelling sketches

This Data Visualization course will take you from a beginner level in D3 to the point where you can build virtually any visualization that you can imagine. The course will teach you to program in the latest version of D3 - version 5.x. Course Outline In the first phase of the course, we will be building up your knowledge of D3 and introducing you to some of the most foundational topics in data visualization.

You will: Understand what SVGs are and how to they work with D3. Discover how D3 associates shapes with pieces of data. Write scales, axes, and labels to make some basic visualizations. Use the D3 update pattern to shift the position of SVGs as our data changes. Handle user interactions by adding events to the page. Add legends, tooltips, and sliders to your visualizations.

The Data Visualization course will also focus on data visualization design, helping you to make better decisions about how to structure your code, and teaching you to justify the decisions that you make to others. You will learn how to select the right visual channels for the data that you're working with to create completely unique visualizations.

You can take Learn Data Visualization course in D3.js (D3 Library Intro Course) Certificate Course on Udemy.

5.Data Visualization on the Browser with Python and Bokeh

A complete guide on creating beautiful plots and data dashboards on the browser using the Python Bokeh library.

⭐ : 4.3 (677 ratings)

With this Data Visualization course, you will:

  • Build advanced data visualization course web apps using the Python Bokeh library.
  • Create interactive modern web plots that represent your data impressively.
  • Create widgets that let users interact with your plots.
  • Learn all the available Bokeh styling features.
  • Integrate and visualize data from Pandas DataFrames.
  • Create dynamic graphs that plot real-time data.
  • Plot time-series data.
  • Integrate your data visualization course apps with Flask apps.
  • Deploy the apps in live servers.
  • Learn how to troubleshoot Bokeh apps.

This Data Visualization course is a complete guide to mastering Bokeh which is a Python library for building advanced and modern data visualization web applications.

The Data Visualization course will guide you step by step starting from plotting simple datasets to building rich and beautiful data visualization web apps that plot data in real time and allow web users to interact and change the behavior of your plots via internet from their browsers.

Bokeh is a brand new data science library that is gaining traction fast so it's smart to be ahead of the competition and pack the skills in your portfolio. Whether you are a data analyst, data scientist, statistician or any other specialist in the data industry this course is perfect for you as it will give you the skills to visualize data in a way that excites your audience and eventually sells your product or your idea much easier.

All you need to have to learn Bokeh is some basic prior knowledge of Python. The course also contains exercises to help you check your skills as you progress. You will be given access to various data samples and will be provided with additional examples to enforce your Bokeh skills.

The Data Visualization course is estimated to take you around four weeks to complete assuming you devote a 10-20 hour / week depending on your productivity skills. You also get daily instructor support in the student forum inside the course which guarantees your success. Who this course is for: Anyone involved in the data industry Anyone who is already familiar with Python basics

You can take Data Visualization course on the Browser with Python and Bokeh Certificate Course on Udemy.

6.Data Visualization with Python

Learn Data Visualization with Python from IBM. "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.

⭐ : 4.6 (3,779 ratings)

Data visualization course 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 Data Visualization course 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.

In this Data Visualization course, you will learn about data visualization and some of the best practices to keep in mind when creating plots and visuals. You will also learn about the history and the architecture of Matplotlib and learn about basic plotting with Matplotlib. In addition, you will learn about the dataset on immigration to Canada, which will be used extensively throughout the course.

Finally, you will briefly learn how to read csv files into a pandas dataframe and process and manipulate the data in the dataframe, and how to generate line plots using Matplotlib.

You can take Data Visualization course with Python Certificate Course on Udemy.

7.Data Visualization and Communication with Tableau

Learn Data Visualization and Communication with Tableau from Duke University. One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience.

⭐ : 4.7 (2,022 ratings)

With this Data Visualization course, you will:

  • Craft the right questions to ensure your analysis projects succeed;
  • Leverage questions to design logical and structured analysis plans;
  • Create the most important graphs used in business analysis and transform data in Tableau;
  • Design business dashboards with Tableau;
  • Tell stories with data;
  • Design effective slide presentations to showcase your data story; and
  • Deliver compelling business presentations.

One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member.

Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand. In this course you will learn how to become a master at communicating business-relevant implications of data analyses.

By the end, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders. You will also know how to streamline your analyses and highlight their implications efficiently using visualizations in Tableau, the most popular visualization program in the business world.

Using other Tableau features, you will be able to make effective visualizations that harness the human brain’s innate perceptual and cognitive tendencies to convey conclusions directly and clearly. Finally, you will be practiced in designing and persuasively presenting business “data stories” that use these visualizations, capitalizing on business-tested methods and design principles.

By the end of this Data Visualization course, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders. You will also know how to streamline your analyses and highlight their implications efficiently using visualizations in Tableau, the most popular visualization program in the business world.

Using other Tableau features, you will be able to make effective visualizations that harness the human brain’s innate perceptual and cognitive tendencies to convey conclusions directly and clearly. Finally, you will be practiced in designing and persuasively presenting business “data stories” that use these visualizations, capitalizing on business-tested methods and design principles by completing a final peer assessed project recommending a business process change.

You can take Data Visualization course and Communication with Tableau Certificate Course on Coursera.

8.Data Visualization

Learn Data Visualization course from University of Illinois at Urbana-Champaign. Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth.

⭐ : 4.6 (3,282 ratings)

This Data Visualization course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.

You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course. In this week's module, you will learn what data visualization is, how it's used, and how computers display information.

You'll also explore different types of data visualization course and how humans perceive information. In this week's module, you will start to think about how to visualize data effectively.

This will include assigning data to appropriate chart elements, using glyphs, parallel coordinates, and streamgraphs, as well as implementing principles of design and color to make your visualizations more engaging and effective. In this week's module, you will learn how to visualize graphs that depict relationships between data items.

You'll also plot data using coordinates that are not specifically provided by the data set. In this week's module, you will start to put together everything you've learned by designing your own visualization system for large datasets and dashboards. You'll create and interpret the visualization you created from your data set, and you'll also apply techniques from user-interface design to create an effective visualization system.

You can take Data Visualization Certificate Course on Coursera.

9.Craft Impactful Narratives with Data

You’ll start by building data visualizations and dashboards, considering your audience's to be as effective as possible.

With this data visualization course, you will:

  • Learn how to select the most appropriate data visualization for an analysis, evaluate the effectiveness of a data visualization, and build interactive and engaging Tableau dashboards.
  • Design and create a dashboard in an enterprise environment. Discover user needs, identify key metrics, and tailor your dashboard to a particular audience.
  • Learn the end to end process for telling a story and providing a recommendation based on data. You'll define an effective problem statement, structure a data presentation, scope analyses, identify biases and limitations within your dataset, and pull together an end-to-end analysis.
  • Learn advanced data visualization and storytelling techniques. Learn to use Tableau Story point to add interactivity and other visual elements to a story, and add animation and narration with Tableau Pages and Flourish.

Later, you’ll move into drafting presentations using storytelling techniques, visualizations, and animations to provide data-driven recommendations.

You can take Craft Impactful Narratives with Data Certificate Course on Udacity.

10.Data Visualization Courses

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.

Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI.

In this Data Visualization course, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.

Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.

You can take this Data Visualization Courses Certificate Course on Coursera.

11.Data Visualization in Python

When we present data graphically, we can see the patterns and insights we’re looking for. It becomes easier to grasp difficult concepts or identify new trends we may have missed. We can use data visualizations to make an argument, or to support a hypothesis, or to explore our world in different ways. Python allows us to create visualizations easily and quickly using Matplotlib and Seaborn.

With this Data Visualization course, you will:

  • Create line graphs
  • Create bar charts
  • Create pie graphs
  • Add error bars to graphs
  • Add labels and styling to graphs

Seaborn is an add-on to Matplotlib that allows us to style our graphs more professionally and create sleeker graphics.

You will learn how to choose color schemes for your graphs and take them to the next level. Master a commonly used Python graphing module, Matplotlib. Soon, you will be producing high-quality plots to visualize your data.Use Seaborn, a Python data visualization library, to create bar charts for statistical analysis.

You can take Data Visualization course in Python Certificate Course on Code academy.

12.Data Visualization Online Courses

Get the training you need to stay ahead with expert-led courses on Data Visualization course.

With this Data Visualization course, you will:

  • Managing data sources and visualizations
  • Managing Tableau worksheets and workbooks
  • Displaying source metadata
  • Creating custom calculations and fields
  • Analyzing data using statistical tools
  • Sorting and filtering Tableau data
  • Defining groups and sets
  • Creating and pivoting crosstabs
  • Formatting Tableau visualizations
  • Creating basic charts
  • Annotating and formatting charts
  • Mapping geographic data
  • Creating dashboards
  • Methods for defining an URL-based action

Tableau is a widely used data analytics and visualization tool that many consider indispensable for data-science-related work. Its drag-and-drop interface makes it easy to sort, compare, and analyze data from multiple sources, including Excel, SQL Server, and cloud-based data repositories.

In this Data Visualization course, learn what you need to know to analyze and display data using Tableau Desktop 2019—and make better, more data-driven decisions for your company. Discover how to install Tableau, connect to data sources, and sort and filter your data. Instructor Curt Frye also demonstrates how to create and manipulate data visualizations—including highlight tables, charts, scatter plots, histograms, maps, and dashboards—and shows how to share your visualizations.

You can take Data Visualization Online Courses on LinkedIn.

13.Visualizing Data with Python

Data visualization course is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general.

With this Data Visualization course, you will:

  • how to take data that at first glance has little meaning and present that data in a form that makes sense to people.
  • how to use some data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium for presenting data.

"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insights obtained from the analysis of increasingly large datasets. Data visualization course 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.

In this Data Visualization course, you will learn how to leverage a software tool to visualize data that will also enable you to extract information, better understand the data, and make more effective decisions.

You can take Visualizing Data with Python certificate course on EDX.

14.Big Data: Data Visualisation - Online Course  

Data visualisation course is vital in bridging the gap between data and decisions. Discover the methods, tools and processes involved.

With this Data Visualization course, you will:

  • Explore big data frameworks
  • Demonstrate an integrated approach to big data
  • Develop an awareness of how to participate effectively in a team working with big data experts

Data visualisation course is an important visual method for effective communication and analysing large datasets. Through data visualisations we are able to draw conclusions from data that are sometimes not immediately obvious and interact with the data in an entirely different way.

This Data Visualization course will provide you with an informative introduction to the methods, tools and processes involved in visualising big data. We will also take the time to examine briefly the use of visualisation throughout history dating back as far as 17000 BC.

We will use a variety of tools so that you become comfortable engaging with different software and confident trialing new packages to find those that best meet your needs. Please review the product websites below to ensure your system meets the minimum requirements for the tools we will be using.

  • Tableau: You can use the free trial for a period of 2 weeks. Please do not start the trial until you are ready to do the Tableau exercises.
  • MATLAB Online: MathWorks will provide you with a license to use MATLAB online for the duration of the course.
  • D3.js: The D3 JavaScript library is available under BSD license.

You can still learn effectively even if you don’t have access to all of these tools as you will be able to see what they can do for you.

You can take Big Data: Data Visualisation - Online Course Certificate Course on Futurelearn.

15. How to Process, Analyze and Visualize Data

This Data Visualization course is an introduction to data cleaning, analysis and visualization. We will teach the basics of data analysis through concrete examples. You will learn how to take raw data, extract meaningful information, use statistical tools, and make visualizations.

This was offered as a non-credit course during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

You can still learn effectively even if you don’t have access to all of these tools as you will be able to see what they can do for you.

You can take How to Process, Analyze and Visualize Data Certificate Course on MIT OpenCourseware.

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