Best Data Visualization Classes Near Me: Find In-Person & Virtual Training

Learn More About Data Visualization Courses

What is Data Visualization?

Every day, human beings produce over 2.5 quintillion bytes of data. Interpreting, cataloging and analyzing this data has become a cornerstone of running successful businesses and institutions, and the rise of big data analytics has revolutionized almost every aspect of our daily lives. However, interpreting and analyzing this data is only part of the process. In order to turn huge amounts of raw data into useful information and actionable insights, that data has to be transformed into a visualization so that the information can be communicated to stakeholders and non-specialists.

Learning data visualization will require students to understand how to read and interpret data, how to use data visualization tools and how to construct narratives through data. This can be a challenging process since even if you know how to use tools like Tableau and Excel, you’ll still need to learn how to present this data in a way that is informative, persuasive and appealing. While not a strictly creative process, knowing how to shape a narrative with your data is an essential part of the process of learning data visualization.

Why Learn Data Visualization?

Data analysis has become an essential part of almost every professional field. The public and private sectors are all embracing the value of data analysis, and it is becoming increasingly common in wide-ranging industries, including commerce, finance, healthcare, education and public administration. In all of these fields, it is essential to communicate what you’ve found in the data if you are hoping to use that data to create actionable insights and practical solutions to the unique problems faced by your company or institution. Learning data visualization is an important part of this process since this is the process by which raw data is turned into graphs, charts and maps that can be used to explain or persuade.

Data visualization is also useful for non-data professionals who work in fields that require them to communicate with large groups of people. For example, journalists can use data visualization tools to condense complex information into an easy-to-read chart, while activists can use data visualization skills to create infographics that are informative and persuasive. Advertisers may want to learn how to visualize data to help communicate the effectiveness of their advertising campaigns. Project managers may also want to learn data visualization skills to communicate their progress when they report to stakeholders. If you work in a field that requires communication, learning to transform complex data and concepts into visual representations and narratives is invaluable.=

Data Visualization Skills and Tools

Learning data visualization means learning to work with data and learning how to communicate that data to an intended audience. This means it combines technical skills, mathematical analysis and communication into a singular skillset.

Excel

Excel is one of the most important tools to learn when starting in any data-related field. You can’t create a visualization of your data if you don’t have good, well-organized data sets to begin with, and Excel is one of the top tools for creating databases. Microsoft’s spreadsheet application is one of the world's most commonly used computer programs, and it has been refined to serve as one of the most accessible data entry and organization tools available. Once you have mastered the basics of Excel, you can even use it to create simple charts, graphs and visualizations directly from Excel spreadsheets, which can help greatly speed up the process of creating simple data visualizations. It is also very easy to query data from Excel and to import that data into more robust data visualization applications like Tableau.

Tableau

Tableau has become one of the most data visualization tools on the market, and it offers users a robust suite of tools for importing data and transforming that data into detailed, complex charts, graphs and interactive dashboards that allow for up-to-the-minute detailed comparisons of any granular element of a dataset. Tableau’s dashboard creation features allow users to create interactive visualizations that can be used to query and compare huge amounts of data and query data sets in a way that is simple to understand and easy to use. Plus, since these dashboards are interactive, you can quickly respond to questions by shifting the data being examined, and you can let your users play around with the dashboard to draw their own conclusions from the data based on their queries. If you are working with data in a professional capacity, it pays to understand how to use Tableau as a tool for data visualization.

Narrative Storytelling and Communication

Data visualization is the art of turning raw data into a narrative that tells the story you want it to tell. This can be for practical purposes, like communicating what elements of an advertising or marketing strategy are most effective or for persuasive purposes, like using data to argue for a policy position. This requires understanding how to communicate complex concepts to non-specialists and persuade audiences with visual storytelling. This means understanding how to tailor your visualization to your audience, how to communicate effectively and quickly and how to use data as part of a larger persuasive project. In addition to this, learning how to make data and charts visually appealing and easy to understand is a vital skill since graphs and charts can be overwhelming if they are not designed to quickly communicate their meaning.

Statistics and Analysis

Since data visualization is a data science-adjacent field, it requires you to understand basic statistics and analysis since you’ll need to understand what you are saying when creating visualizations. The level of statistical training you need will vary depending on your focus and the kind of work you are doing with data (a data scientist working for a Fortune 500 company will likely need more than a journalist producing a graph for a story), but you’ll still want to understand the basics of reading and interpreting data in order to create the most compelling visualizations possible.

Data Visualization Careers

Few careers strictly utilize data visualization skills. Rather data visualization is one part of the toolkit of a professional who works with data in some capacity. Therefore, there are a wide range of careers utilizing data visualization skills, but they all do so in the service of different end goals. However, most data science-related careers will require some level of training in data visualization.

Data Analysts are professionals employed in a wide variety of different industries who are tasked with collecting, organizing and analyzing data that is relevant to the specific industry or field in which they are working. These professionals will need to understand how to work with data visualization tools in order to communicate to stakeholders what they are observing in the data they have collected and to produce reports that make the complex and unwieldy amounts of data understandable. Most Data Analysts will learn how to work with tools like Tableau to make the complex process of creating interactive visualizations significantly easier. In the US, a Data Analyst earns an average salary of approximately $77,000 annually.

Best Data Visualization Classes

Students interested in a complete data analytics and visualization education should consider enrolling in Noble Desktop’s Data Analytics Certificate program. In this course, students will learn the skills needed to work with data professionally and how to create persuasive and effective data visualizations using Excel and Tableau. Students will get hands-on training working with programming languages like Python and SQL so that they can create effective, organized databases, and then they will be trained in using those databases to create powerful visualizations using Python programming and Tableau. This career-focused course is ideal for novice programmers looking to break into the world of data analytics.

Students looking for a more focused training program may want to opt for Noble Desktop’s Tableau Bootcamp. In this accelerated course, students will learn all there is to know about using Tableau to create dashboards and data visualizations that will bring their data to life and allow stakeholders to interact with the data directly. In this class, students get hands-on experience working with Tableau, and they will complete real-world projects aimed at teaching them how to create visualizations and dashboards. Lessons will also cover advanced data manipulation processes to help students create dashboards that can isolate variables, compare long-term trends and build maps. This course will help students understand how data visualizations can be an important tool for data science projects and how they can be rhetorically persuasive in their own right.

Practical Programming offers a Python Data Visualization & Interactive Dashboards course that will teach students how to use Python programming and databases to create interactive visualizations and charts that allow users to examine data in real-time. This course will give students hands-on experience writing scripts in common Python frameworks to create compelling data visualizations. The class will start with the Python libraries NumPy and Pandas and then move to plotting solutions. After learning traditional plotting tools like Matplotlib and Seaborn, students will learn how to use Plotly and Dash Enterprise, a powerful tool for building dynamic dashboards. This course requires students to have completed Practical Programming’s Python Bootcamp or an equivalent Python programming course.

If you are interested in the narrative and rhetorical elements of data visualization, you can find the lessons you are looking for at The American Management Association’s live online How to Turn Data Into Compelling Visual Presentations course. In this course, students will learn to utilize data and visualizations when presenting information to invested stakeholders. This course focuses on rhetorical and visual strategies for using data as a persuasive tool in a larger presentation context. Students will learn how to shape their message for their audience, how to create graphs that are visually appealing and immediately understandable and how to maximize the impact that a graph or chart has when it is leveraged as part of a presentation. This course is best suited for professionals who work outside of data science-related fields and are more regularly involved in the communication side of their projects.

How to Learn Data Visualization

Students interested in learning data visualization skills will need to decide what kind of modality they would prefer for their classes. While in-person classes are the most common option, more and more schools offer comparable live online classes for students looking to learn from their homes. With developments in online learning over the past few years, there is no longer an assumed gap in the quality of education in regard to online delivery, so students should seriously consider whether in-person or online classes are right for them.

Many students prefer to learn in a live classroom environment. The most commonly cited reason for this is direct, face-to-face access to their instructor and the presence of classmates. In a classroom setting, students can ask questions directly and receive immediate feedback on their work. They are also able to collaborate with each other and learn from their peers directly. In addition, students often find the classroom setting ideal for keeping their attention focused on their lessons rather than outside distractions. The downside to these in-person classes is that they are in-person, and therefore, you can only attend a course that you can physically attend, which can greatly limit the options available to students who don’t live in major metropolitan areas. Plus, since there will be a commute involved with attending these classes, students may find that the hidden costs (in terms of travel time and money) add up and make the classes less desirable than they look at first glance.

An alternative for students who can’t or don’t want to attend an in-person class is a live online course. These classes are taught in real-time by experienced instructors over telecommunication platforms, meaning that students will still be learning from a live teacher and will be able to ask questions and receive feedback. These courses offer increased flexibility in terms of scheduling, and students can take classes from providers all over the country. They also allow students to work from their home office, which can be a boon for anyone who plans on regularly doing their data visualization on their personal computers. The drawback to these classes is that none of the technology is supplied, and students will need to have a computer set-up that can, at the very least, run all of their data visualization applications and a telecommunications platform. Students may also find that they need to put in more work to keep up with the course material and avoid external distractions.

Data Visualization Courses by School

Here are some of the top schools offering Data Visualization training, including ITTA (29 courses), Dipl.-Ing. Thorsten Kebel IT Trainings (22 courses), and ONLC Training Centers (19 courses).

Noble Desktop

NYC location: 185 Madison Avenue, New York, NY, 10016 US

Founded in 1990, Noble Desktop offers part-time and full-immersion courses on anything you can think of from design and coding to business. Located in New York City and providing courses both online and in-person, Noble Desktop prides itself on accommodating dynamic courses and bootcamps with hands-on learning, time-tested curriculums, and education from top industry experts.
- Data Analytics Certificate
  - 156 Hours
  - $4,995
- Tableau Certification
  - 18 Hours
  - $1,299
- Power BI Certification Program
  - 18 Hours
  - $1,399
- Tableau Bootcamp
  - 12 Hours
  - $499
NYIM Training

NYC location: 185 Madison Avenue, New York, NY, 10016 US

NYIM Training offers results-oriented business courses and corporate training online and in New York. With hands-on courses and certifications in data analytics, design, programming, office productivity, and finance, its extensive offering provides flexible training solutions for professionals and businesses.
- Tableau Bootcamp
  - 12 Hours
  - $499
- Tableau Level I
  - 6 Hours
  - $299
- Tableau Level II
  - 6 Hours
  - $299
- Power BI Bootcamp
  - 12 Hours
  - $599
NYC Career Centers

NYC location: 185 Madison Avenue, New York, NY, 10016 US

Career Centers offers intensive business courses and corporate training in the heart of New York City and remotely online. They offer courses in Microsoft Excel, finance & accounting, data analytics, Microsoft Office, and design.
- Tableau Bootcamp
  - 12 Hours
  - $499
- Tableau Level I
  - 6 Hours
  - $299
- Tableau Level II
  - 6 Hours
  - $299
- Microsoft Excel Bootcamp
  - 18 Hours
  - $549
New Horizons
Locations:
- Atlanta
- Austin
- Boston
- Charlotte
- Chicago
- Denver
- Detroit
- Houston
- London
- Los Angeles
- Miami
- Minneapolis
- Nashville
- NYC
- Orlando
- Phoenix
- Salt Lake City
- San Diego
- Seattle
- St. Louis
- Tampa
- Toronto
- Washington, D.C.
- NJ
- Hartford
- Columbia
- Las Vegas
- Sacramento
- San Antonio
- Memphis
- Jacksonville
- Portland
- Pittsburgh
- Columbus
- Anaheim
- Cleveland
- Richmond
- Milwaukee
- Madison
- Rochester
- Buffalo
- Syracuse
- Albany
- Tucson
- Grand Rapids
- Knoxville
- Omaha
+ 42 more
Offering on-site training all over the world and online, New Horizons is a computer learning center. New Horizons offers training for top technology providers like Adobe, Citrix, and Microsoft.
- Tableau Desktop - Part 1
  - 2 Days
  - $1,190
- Tableau Desktop - Part 2
  - 2 Days
  - $1,190
- Data Wrangling With Python
  - 3 Days
  - $1,785
- Using Data Science Tools in Python
  - 2 Days
  - $1,198
Computer Training Source

Chicago location: 420 N Wabash Ave, Chicago, IL, 60611 US

Computer Training Source offers computer training courses in Chicago, Naperville, Schaumburg, and online. CTS provides students with a variety of courses including Microsoft Office, Adobe, web design, project management, and technology/networking.
- Tableau Part 1
  - 1 Day
  - $499
- Tableau Part 2
  - 1 Day
  - $499
- Excel Introduction
  - 1 Day
  - $299
- Excel Intermediate
  - 1 Day
  - $329
Ledet Training
Locations:
- Atlanta
- Los Angeles
- Houston
- San Diego
- Washington, D.C.
- Denver
- Chicago
- Live Online
- Boston
- Phoenix
- Portland
- Columbus
- Fort Lauderdale
- Raleigh
+ 9 more
Ledet Training offers graphics and mobile training courses on-site across the U.S. including Washington, Denver, Atlanta, Phoenix, Los Angeles, Portland, Houston, and Fort Lauderdale.
- Tableau 101
  - 2 Days
  - $899
- Tableau 201 - Tableau Advanced
  - 3 Days
  - $1,499
- Tableau 501 - Tableau Bootcamp
  - 5 Days
  - $2,199
- Microsoft Excel 101 - Microsoft Excel Introduction
  - 1 Day
  - $399
Practical Programming
Locations:
- NYC
- Chicago
- Live Online
Established in both Chicago and New York, Practical Programming offers online and on-site courses in Python, Data Science, Machine Learning, Web Development, JavaScript, Blockchain, and SQL.
- Python for Data Science Immersive
  - 30 Hours
  - $1,495
- Python for Automation
  - 6 Hours
  - $425
Certstaffix Training
Locations:
- Phoenix
- Los Angeles
- San Francisco
- Sacramento
- San Diego
- San Jose
- Denver
- Tampa
- Chicago
- Boston
- St. Louis
- Charlotte
- Raleigh
- Austin
- Dallas
- Houston
- Salt Lake City
- Seattle
- Philadelphia
- Jacksonville
- Portland
- Minneapolis
- Rancho Cucamonga
- Indianapolis
- Orlando
- Baltimore
- Detroit
- Cincinnati
- Kansas City
- Columbus
- Memphis
- Cleveland
- Richmond
- Fairfax
- Virginia Beach
- Oklahoma City
- Live Online
- Birmingham
- Albuquerque
- Omaha
- Knoxville
- Grand Rapids
- Worcester
- Baton Rouge
- Fort Lauderdale
- Des Moines
- NJ
- NYC
+ 43 more
Certstaffix offers live online classes and group training onsite for corporate entities all over the U.S. They provide courses in End-user/Desktop, IT Pro Skills, Online Marketing, Business Skills, and Programming/Development.
- Tableau Desktop: Advanced
  - 2 Days
  - $1,240
- Tableau Desktop: Basic
  - 2 Days
  - $1,240
- Tableau Desktop: Business Intelligence
  - 2 Days
  - $1,240
- Microsoft Power BI Desktop and Microsoft Power Query
  - 1 Day
  - $620
NYC Data Science Academy

NYC location: 500 8th Ave, New York, NY, 10018 US

NYC Data Science Academy provides data science and data engineering training with comprehensive curriculums in Python, Hadoop, Spark, R, and many more. NYC Data Science Academy offers immersive courses, bootcamps, and job training both online and in-person.
- Data Science with Python: Data Analysis and Visualization
  - 5 Weeks, 4 hr/wk
  - $1,590
AcademyX
Locations:
- San Francisco
- San Diego
- San Jose
- Sacramento
- Los Angeles
Located across California, Academy X offers training programs in Adobe, Microsoft, Google, and for students looking to learn the basics of web development. Courses are both in-person and online with flexible options for group work or one-on-one training.
- Tableau Training
  - 12 Hours
  - $1,295
- Excel Intro
  - 6 Hours
  - $295
- Excel Intermediate
  - 6 Hours
  - $295
- Excel Lookups, Functions and Macros
  - 6 Hours
  - $350

showing 10 of 56 schools

What You’ll Learn in Data Visualization with Python classes

A Data Visualization with Python course introduces students to the dynamic field of data representation through the lens of Python programming. This course covers how to use Python's powerful libraries like Matplotlib, Seaborn, and Pandas for crafting insightful and interactive visualizations. By focusing on the practical application of data visualization principles, students will learn to effectively communicate data-driven findings. The curriculum includes creating a variety of chart types, from basic line and bar charts to more complex scatter plots and heat maps. Moreover, students will develop the ability to tailor their visualizations for various target audiences, ensuring that this representation of their data tells a compelling story. With these skills, students are well-prepared to turn complex data sets into clear and actionable visuals.

Building an analytical project

anaconda navigator

Building an analytical project involves creating a data-driven solution to a specific problem or question. It typically involves collecting, cleaning, and analyzing data using various tools and techniques. This process helps to uncover insights, patterns, and trends that can inform decision-making and drive business growth. By building an analytical project, organizations can make data-informed decisions, optimize processes, identify opportunities, and solve complex problems more effectively.

Use Python libraries NumPy and Pandas

pandas

NumPy and Pandas are Python libraries that are commonly used for data manipulation and analysis. NumPy provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to manipulate these arrays. Pandas, on the other hand, offers data structures and operations for manipulating and analyzing structured data, such as data frames. These libraries are important in data visualization as they provide a powerful and efficient way to handle and process data, making it easier to prepare and transform data for visualization purposes.

Plot data with Matplotlib

matplotlib

Matplotlib is a Python library used for plotting and visualizing data. It provides a wide range of functions and tools to create various types of plots, including line plots, scatter plots, bar plots, histograms, and more. Matplotlib is used to represent data in a visual form, making it easier to understand and interpret patterns, trends, and relationships within the data. It is important because visualizing data helps in exploring and analyzing large datasets, identifying outliers or anomalies, and communicating insights effectively to others.

Render data with Dash

dash

Dash is a Python framework for building interactive web applications to render data. It can create dynamic and interactive visualizations by connecting data to UI components. Dash allows users to build custom dashboards, reports, and analytical tools to present data in a visually appealing and user-friendly manner. It is important because it enables data scientists and analysts to share their findings and insights with others in a more interactive and engaging way, facilitating better understanding and decision-making.

Host project on GitHub

GitHub

GitHub is a web-based platform for hosting and collaborating on projects using the Git version control system. It allows developers to share and manage their code repositories with others. The software development community uses GitHub as a centralized location for storing code, tracking changes, and collaborating with fellow developers. It is important because it promotes collaboration, enables version control, and provides a platform for showcasing and sharing projects with the wider community.

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Learn More About Data Visualization Courses

What is Data Visualization?

Why Learn Data Visualization?

Data Visualization Skills and Tools

Excel

Tableau

Narrative Storytelling and Communication

Statistics and Analysis

Data Visualization Careers

Best Data Visualization Classes

How to Learn Data Visualization

Data Visualization Courses by School

Tableau Bootcamp

Tableau Level I

Tableau Level II

Power BI Bootcamp

Tableau Bootcamp

Tableau Level I

Tableau Level II

Microsoft Excel Bootcamp

Tableau Desktop - Part 1

Tableau Desktop - Part 2

Data Wrangling With Python

Using Data Science Tools in Python

Tableau Part 1

Tableau Part 2

Excel Introduction

Excel Intermediate

Tableau 101

Tableau 201 - Tableau Advanced

Tableau 501 - Tableau Bootcamp

Microsoft Excel 101 - Microsoft Excel Introduction

Python for Data Science Immersive

Python for Automation

Tableau Desktop: Advanced

Tableau Desktop: Basic

Tableau Desktop: Business Intelligence

Microsoft Power BI Desktop and Microsoft Power Query

Data Science with Python: Data Analysis and Visualization

Tableau Training

Excel Intro

Excel Intermediate

Excel Lookups, Functions and Macros

Data Visualization Corporate & Onsite Training Noble Desktop

Data Visualization Training Map & Top Locations

196 Courses Available Live Online

63 Courses Available in NYC

58 Courses Available in Los Angeles

53 Courses Available in Chicago

41 Courses Available in Phoenix

39 Courses Available in Washington, D.C.

29 Courses Available in Houston

23 Courses Available in Dallas

23 Courses Available in Atlanta

20 Courses Available in Miami

10 Courses Available in Philadelphia

Data Visualization Topics

Tableau

Power BI

Excel

Python Data Science

What You’ll Learn in Data Visualization with Python classes

Building an analytical project

Use Python libraries NumPy and Pandas

Plot data with Matplotlib

Render data with Dash

Host project on GitHub

Data Visualization
Corporate & Onsite Training