Data Visualization Courses in NYC or Live Online

Hands-on Data Visualization Training

Learn data visualization techniques and tools in a variety of course offerings at NYIM. In our courses, you'll learn how to create powerful visualizations and present data in a way that informs business decisions. You'll learn how to manipulate data, make charts, and create interactive dashboards in these data visualization courses. We offer training in a variety of tools, including Excel, Tableau, Python, and PowerBI (coming soon). 

  • In-person courses
  • Flexible training solutions
  • Small class sizes
  • Hands-on & interactive

Small Group Data Visualization Classes

Our Data Visualization Courses courses are instructor-led in our Manhattan classrooms or live online (virtual learning).

Show All Data Visualization Courses

Corporate Training

Drive team performance and efficiency with NYIM’s industry-leading training. Send employees to our group classes or create a custom training program onsite.

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Why Learn at NYIM

Highly Reviewed by Our Alumni

From our hands-on training style to world-class instructors and proprietary curriculum, we deliver a learning experience our alumni can be proud of.

Our Data Visualization Courses are rated 5.0 stars

in the past 24 months

NYIM does incredible work! I did the 3-day Excel Bootcamp & it was amazing! Pooja, Tom & Garfield were incredibly knowledgeable & excellent teachers. They explained everything in an incredibly clear & concise manner. I would HIGHLY recommend NYIM/Career Centers for anyone looking for Excel training, or any other training that they have to offer!

Jonathan S.

I enjoyed the Excel Bootcamp I took at NYIM. First, the trainers were very knowledgeable and took the time to explain the concepts in detail. Secondly, the course content is very rich. I found it quite voluminous though. But it is great to have printed material for reference. Thirdly, I loved how interactive classes were with trainers trying as best they could to provide help individually to students. I greatly recommend NYIM training.

Buri B.

I thoroughly enjoyed my training experience (Excel Bootcamp for Business- Fundamentals, Intermediate, Advanced). The instructors were very informative, thorough and engaging and the tools were invaluable to my day-to-day work in accounting. Would highly recommend this training.

Aaron P.

Garfield and Michael were great, did the bundle, both were very generous with their time and explained information thoroughly.

James B.

This company is amazing. I was able to go from little to no skill in excel to very good. I feel like I have years of experience l after just a few sessions. Highly recommended!!

Ben R.

I've taken excel workshops before but the Excel for Business Bootcamp is one of my tops! The instructor was patient and knowledgeable. I really like the fact that you take away different resources and that you're able to retake the course for free within 6 months.

Sara A.

We hired NYIM training to provide Microsoft Excel training for UJA staff and it was the best technical training I have seen. Mourad Kattan is an outstanding facilitator and he packed the session with useful information and tips for everyone who was in the room. Also, additional video provided after the session helped to solidify the learning and review everything independently. Looking forward to bringing NYIM to UJA again in the near future!

Yelena K.

The way NYIM understood our business model was unmatched. They catered a full three-day bootcamp directly to our specific business needs for a class of 30 analysts. All of the new hires were engaged and walked away with a better understanding of the way that we work in the Microsoft Office suite and the way we evaluate our business. I've been to plenty of Excel bootcamps throughout my career and this was by far the best; engaging, bespoke, and immediately applicable!


Went from having NEVER used Tableau to feeling like I have the ability to create a bunch of different fun visualizations, all in one day. That's pretty cool.

Katrina J.

Engaging, informative classes. I took the complete excel course and loved it. The instructors were very thorough and easily understood. The material was great, and they gave us material to keep as well.

Sammy B.

The classes are very informative; whether you are just looking for a refresher or looking to gain some new skills. Instructors like Patrick are patient enough to go through exercises multiple times and make sure students understand. He also has a very comprehensive understanding of Excel and is a very valuable instructor

Ademiju A.

Tableau Intro Class was very helpful and informative, info explained simply

Monica T.
NYC Health + Hospitals

Professional instructor who is patient, I really enjoyed the course and have learned a lot. The structure of the course is well designed and he managed the time perfectly.

Tina T.

I feel fully confident using Tableau in my job now after just one day. This class was thorough and helpful without being overwhelming.

Lyndsay K.

Upcoming Data Visualization Classes in NYC

All times are listed in Eastern Time unless otherwise specified.

May 2024
May 20–29
Monday to Wednesday 10–5pm
30 Hours
NYC or Live Online

Learn the fundamentals of Python and object-oriented programming in this 5-day intensive course.  You'll gain a solid understanding of Python, with a strong emphasis on using libraries and frameworks for data science.

May 28–30
Weekdays 10–5pm
18 Hours
NYC or Live Online

Become an advanced Microsoft Excel user in just three days. This Excel Bootcamp includes 18 hours of hands-on training in formulas, functions, Pivot Tables, macros & more.

June 2024
June 3–5
Weekdays 10–5pm
18 Hours
NYC or Live Online

Become an advanced Microsoft Excel user in just three days. This Excel Bootcamp includes 18 hours of hands-on training in formulas, functions, Pivot Tables, macros & more.

June 4–20
Evenings 6–9pm
18 Hours
NYC or Live Online

Become an advanced Microsoft Excel user in just three days. This Excel Bootcamp includes 18 hours of hands-on training in formulas, functions, Pivot Tables, macros & more.

June 5–6
Wednesday to Thursday 10–5pm
12 Hours
NYC or Live Online

Master Tableau in just two days. Learn to identify datasets to connect to, explore, analyze, filter and structure your data. Create a variety of maps to represent geographic data, and build actions to control your visualizations within your sheets and dashboards. This bootcamp includes our intro and advanced classes at a 15% discount.

showing 5 of 56 courses

What is Data Visualization?

Simply put, data visualization is a graphic representation of data. Data visualization allows you to interpret data more easily, identify trends, and take action.

A huge appeal of data visualization is its ability to wrangle together big data. “Big data” describes a tremendous volume of structured and unstructured data that is often so large that it is difficult to process using traditional methods. Big data could be anything—migration patterns, internet trends, market growth—and this information often grows at a rapid rate. This is where data visualization comes in handy since its goal is to convey information clearly and efficiently in order to communicate specific ideas. 

Good data visualization involves data exploration, data analysis, and intentionality. Many consider it to be both a science and an art. Though there are many tools available for data visualization, some of the most popular tools are Tableau, Excel, Python, and Power BI.

Data Visualization Tools

  • Excel: Although Excel has its limitations in data visualization, it can be very effective for making quick, one-off reports. Excel is fairly easy to use and many people already have familiarity with the tool. Since Excel is not primarily a data visualization software, you’ll need to learn some advanced techniques to create valuable and dynamic charts. In our Advanced Analytics & Visualization in Excel course, you’ll learn lots of techniques to maximize the visualization capabilities of Excel. Learn more about our Excel classes in NYC.

  • Tableau: Tableau is one of the most commonly used data visualization tools. Tableau has robust visualization capabilities with a large collection of data connections and visualizations off the shelf. The tool requires limited coding knowledge and uses simple drag-and-drop functionality. Take one of our Tableau classes to master data visualization in Tableau.

  • Python: Python is a programming language that is also commonly used for data science and analytics. As part of Python as an analytics tool, it provides lots of data visualization functionality. There are a handful of packages specifically for visualization like Matplotlib and Plotly, among others, that makes data visualization in Python a lot easier. In our Python classes in NYC, you’ll learn how to use Python to import, clean, analyze, and visualize data.

  • PowerBI: Another popular tool is PowerBI from Microsoft which is similar to Tableau, but has various advantages and disadvantages relative to the other options. Some of the advantages of PowerBI include its affordability to get started (free version), custom visualizations, and Excel integration. The key limitations of PowerBI are the challenges of managing complex data relationships, the configuration of visualizations, and its relatively steep learning curve as a new tool.

Different Types of Visualizations

There are many types of visualizations that can be used to display data. Some of the commonly used charts include:

  • Line Charts: The simplest technique, a line chart shows the relationship between two variables on the x and y-axis. A use case for a line chart would be to track the number of cars sold at a dealership since 2000. The x-axis would be time, in years, and the y-axis would contain the number of cars sold each year.

  • Bar Charts: These charts are used for comparing the quantities of categories or groups with rectangular bars proportional to the values they represent. For example, you might represent the number of cars sold and the number of employees as a double bar chart.

  • Histogram: Used to show the frequency distribution of continuous variables. For example, to see the distribution of students within a certain test score ranges, you would use a histogram.

  • Pie Chart: There is a lot of debate about the usefulness of pie charts because they are difficult to interpret. Say you wanted to see how your sales were split by state, you might use a pie chart for a quick visualization.

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