10 Data Visualization Certification and Courses
We live in a world where data is king. Data visualization communicates data effectively, helps make data-driven decisions, and tells impactful stories. There will be as many as 11.5 million new jobs for data scientists by 2026. Build your career with these data visualization certification courses.
1. Data Visualization Nanodegree Program (Udacity)
Build the skills needed to be the data expert in your company with the Data Visualization Nanodegree Program by Udacity. The program takes you through an in-depth analysis of data and how to effectively communicate it in a way that is relevant and engaging to the audience. Udacity is an innovative education-on-demand platform that gives learners the skills they need for their future.
Intro to Data Visualization: Like Data Visualization 101. A short, concise course to give you an introduction to the world of data visualization, as well as a foundation for building engaging Tableau dashboards.
Dashboard Designs: Customize your dashboard and ensure that you have the information needed to make important business decisions.
Data Storytelling: Increase the impact of your work with a clear understanding of the research process, and obtain the data you need to effectively tell a story and provide a recommendation.
Advanced Data Storytelling: Create impactful stories and presentation animations with a greater sense of emotion and understanding through Tableau Storypoint and Tableau Flourish
A great learning experience means not only learning a new skill but also having the support you need to keep going on your path of learning. Udacity has mentorship from industry experts, who will teach you and help guide you from the very beginning. Never underestimate the importance of project feedback. Getting feedback from experienced individuals can help ensure you’re on the right track to success. The Data Visualization Nanodegree Program will give you the skills you need to build dashboards, animate stories, and present data-driven conclusions effectively.
|Duration||4 Months (At 10 hours/week)|
|Certification||Data Visualization Nanodegree|
|Prerequisites||Basic Data Analysis|
|Skills||Tableau, Flourish, Tableau Storypoint, Excel, Google Sheets, Descriptive Statistics|
2. Professional Certificate in IBM Data Science (IBM)
The Professional Certificate in IBM Data Science provides training in the latest data science and AI technology. From basic concepts to more advanced topics like machine learning, the focus is on Python (instead of R). And this is why it is one of the top data science certificates you can enroll in today.
Data Science Tools and Methods: Learn how to work with data, including how to choose the right tools, methods, and approaches, to solve the problems you face today and tomorrow.
Python Analysis and Visualization: This course will teach you how to manipulate data in pandas, analyze, and visualize it in a Python environment.
Machine Learning with Python: Perform machine learning, build predictive models, and get the necessary knowledge to work with supervised and unsupervised learning.
Capstone Project: Use the power of Data Science to create a project that you can use to showcase your skills to prospective employers.
Get the skills and knowledge you need to succeed. Whether you want to excel in the workplace or advance your career with a new position, IBM’s online course offerings will help you reach your goals. The best part about the Professional Certificate in IBM Data Science is its focus on Python and its versatile courses in a wide range of skill sets.
|Certification||Professional Certificate in IBM Data Science|
|Material||10 skill-building courses|
|Skills||Python, SQL, Jupyter notebooks, IBM Watson Studio, R Studio, Pandas, SciPy, Scikit-Learn, Matplotlib, Seaborn, and Folium|
3. Professional Certificate in Data Science (Harvard)
Where did you graduate from? Harvard University. Imagine that? This can be you! With more industries than ever before collecting data on their customers, it’s become essential to understand how to present your information in a way that makes sense to not just you but to others as well. This is why data visualization has emerged as an important skill for today’s digital age including the Professional Certificate in Data Science.
Probability, Inference, and Modeling: Learn how to apply linear regression and the ins and outs of statistics using R.
Wrangling and Productivity Tools: Learn the tools needed to wrangle data and build reproducible reports. Gain knowledge with production techniques that will help you work more efficiently.
Machine Learning: With this course, you will learn how to apply machine learning techniques to real-world problems and make them scalable. You will also be able to take this knowledge and apply it to your own projects in the future.
Capstone Project: Gain the skills needed and wrap it all up as you work through a real-world data science project.
Data visualization is an essential skill for every data scientist and statistician. The increasing amount of data that we have access to is more than enough for us to create beautiful, informative, and insightful figures and graphics. Harvard University’s Professional Certificate in Data Science covers a wide range of topics to help you master data visualization and much more.
|Duration||1 year and 5 months|
|Certification||Professional Certificate in Data Science|
|Material||9 skill-building courses|
|Skills||R, ggplot2, Tidyverse, dplyr, RStudio, GitHub, Regex|
4. Data Analysis and Visualization with Power BI (Udacity)
Understand how to use Power BI to conduct data analysis and create powerful visualizations with the Data Analysis and Visualization with Power BI Nanodegree. This comprehensive course will teach you the skills necessary to become a successful data analyst. Get a quick primer on Power BI, learn how to use the tool for your business, and create your engaging data visualizations.
Introduction to Preparing and Modeling Data: With this course, you will learn how to take your data and clean it, transform it, and load it into Power BI. It’s a great first step for anyone interested in learning about DAX, preparing and modeling data, or building reports.
Creating Visualizations with Power BI: Learn how to design interactive, data-driven reports that can be shared across the organization and gain deeper insights how to use Power BI.
Advanced Data Analysis: Learn how to build a strong foundation and intuition of analytics so you can take your skills beyond simply aggregating data in Power BI and into the realm of statistics, forecasting, and strategy.
This Data Analysis and Visualization with Power BI Nanodegree teaches students how to query data, visualize trends and patterns, create visualizations in Power BI, and much more. If you’re in the market for a new career, consider this fast-growing field in the era of data science and visualization. Because data analysis and visualization are two important aspects of any data-driven business, you’ll be able to use Power BI as the primary tool
|Duration||3 Months (At 5 hours/week)|
|Certification||Data Analysis and Visualization with Power BI|
|Skills||Microsoft Power BI, Extract-Transform-Load (ETL), DAX (Data Analytics Expressions), M Language, Power Query|
5. Data Visualization with Python (DataCamp)
Master the art of telling impactful stories with the Data Visualization with Python skill track from DataCamp. The aim of this course is to teach you data visualization, which is a powerful tool that has the ability to make complex data patterns easier to understand. The industry is rapidly evolving and there are more opportunities than ever before to apply visualization skills to solve business challenges.
Introduction to Data Visualization with Matplotlib: Get started in data visualization and learn how to create, customize, and share data visualizations with the help of hands-on tutorials in Matplotlib.
Introduction to Data Visualization with Seaborn: Communicate your findings effectively with Seaborn.
Improving Your Data Visualizations in Python: Use this interactive course to learn how to create data visualizations for your data in Python.
Visualizing Geospatial Data in Python: Teaches you how to create beautiful, interactive geospatial visualizations in Python using folium maps.
Whether you are looking to advance your career or just trying to get ahead, the Data Visualization with Python skill track covers the essential skills needed to communicate your data analysis results. You’ll learn how to combine data, visuals, and narrative to tell effective stories that are impactful to your business. The content has a wide variety of skills as one of the top data visualization certifications and courses.
|Certification||Data Visualization with Python|
|Skills||Matplotlib, Seaborn, Bokeh, Geopandas, Folium Maps, Python|
6. Professional Certificate in Data Analytics and Visualization with Excel and R
Whether you’re just starting out on your career path, or looking for a new way to break into data analytics and visualization, the Professional Certificate in Data Analytics and Visualization with Excel and R program is for you. This certificate is an industry-recognized credential and will put your skillset in the best position to land either a full-time job in data science or become self-employed as a data scientist. Strengthen your CV/Resume from a global leader in data analytics and visualizations, IBM.
Building Dashboards with Excel and Cognos: Learn how to use Excel to build powerful dashboards and to create data visualizations that deliver a clear, powerful story.
R Programming Basics for Data Science: You’ll learn the fundamentals of programming with R, including data structures and techniques to manipulate data.
SQL, Analysis, Visualization with R: Get an in-depth look into how to use SQL and R to create powerful and visually rich data visualizations.
Capstone Project: Apply the data science skills and techniques you have learned by taking on the role of a data scientist working with real-world data sets.
With an 8-skill building course, IBM will help you build your skills and portfolio with a Professional Certificate in Data Analytics and Visualization with Excel and R. You’ll learn the basics of programming and data analysis, then dive into exploring real-world data sets in R. But the focus is on R, instead of Python. This is not such a terrible thing, but not a preference among many data scientists.
|Duration||10 Months (At 2-3 hours/week)|
|Certification||Professional Certificate in Data Analytics and Visualization with Excel and R|
|Instruction Type||8 skill-building courses|
|Skills||R Studio, JupyterLab, SQL, Excel, IBM Cognos Analytics, Leaflet, ggplot2, and R Shiny|
7. Business Analytics Nanodegree Program (Udacity)
The world of business is changing at a rapid pace. Part of this is due to the fact that we have access to pretty much any piece of information we need at our fingertips. With the abundance of data, it’s important to know where you can find it and how to analyze it. The Business Analytics Nanodegree program is one such program that will give you the capabilities to make the most informed decisions possible.
Introduction to Data: Create a new industry-specific repertoire of skills by learning the fundamentals of Excel, including using and understanding models for communicating insights, and more.
SQL for Data Analysis: With SQL training, you have access to a variety of powerful tools to extract and analyze data stored in databases.
Data Visualization: Learn all the basics of data visualization and learn how to apply them to tell more compelling stories with data.
In this digital age, it’s becoming more and more necessary to be able to provide a company and customers with data-driven insights. Overall, business analytics is one of the most important tools in your toolkit for business success. The Business Analytics Nanodegree program can teach you how to use business analytics to grow any company from a startup to a thriving business.
|Certification||Business Analytics Nanodegree|
|Prerequisites||No programming experience is required|
|Skills||Excel, Tableau, SQL|
8. Data Visualization with Tableau Specialization (UCDavis)
Businesses, organizations, and governments all have data that needs to be analyzed. The Data Visualization with Tableau Specialization will teach you how to harness the power of Tableau so that you can be able to get maximum value out of your time. From the basics of creating your first dashboard to digging into its visual analytics, Tableau is an invaluable tool for organizations and individuals alike.
Fundamentals of Visualization with Tableau: Understand the fundamentals of data visualization and how it can help you better see and understand data. Import data into Tableau, analyze and explore the relationship between data analytics and visualization.
Visual Analytics with Tableau: Gain a better understanding of how best to approach charting in Tableau. This course will help you learn how to create and customize charts and other visualization designs with Tableau, giving you a holistic view of your data.
Creating Dashboards and Storytelling with Tableau: Explore the various storytelling tools available in Tableau and use them to tell stories that connect with your audience.
Data Visualization with Tableau Project: Gain the skills needed to create professional-quality data visualizations with Tableau. With a deep understanding of the framework, you will learn how to tell stories with data by creating data-rich visualizations and interactive, dynamic dashboards.
Tableau has become an important tool in the business world and is an integral part of many organizations’ workflows. The Data Visualization with Tableau Specialization from UCDavis will help you discover how to use this powerful program more efficiently and effectively in a 5-course specialization program through Coursera.
|Certification||Data Visualization with Tableau Specialization|
10. Excel Skills for Data Analytics and Visualization Specialization (Macquarie University)
The Excel Skills for Data Analytics and Visualization Specialization help prepare with the right tools for data analytics and visualization in Excel. Excel is easy to use, widely available, and relatively inexpensive. It helps you create charts that help visualize your data and provide useful business insights. With the ability to quickly analyze data in Excel, it’s no wonder why so many companies are turning to it for their data analysis needs.
Excel Fundamentals for Data Analysis: With this course, you will learn how to utilize Excel to its fullest potential and access a range of functions to help you work more efficiently.
Data Visualization in Excel: Quickly and easily create powerful, professional visuals to share with your team. Make charts and pivot tables with a variety of filtering options.
Excel Power Tools for Data Analysis: Learn how to use Power BI in an Excel workbook to develop powerful analytical databases and present your data in interactive reports.
The Excel Skills for Data Analytics and Visualization Specialization will teach you how to analyze data and visualize information, so you can pursue a career in the business analytics field. It will equip you with skills that employers are hunting for, such as how to build dashboards, use pivot tables, and a gentle introduction into Power BI.
|Certification||Excel Skills for Data Analytics and Visualization Specialization|
|Skills||Microsoft Excel, Power BI, Excel with PowerPivot, Get and Transform, and DAX|
Data Visualization Certification and Courses
We already know that data is everywhere. It’s in the numbers of our bank accounts, the length of our commute, and the number of likes on our Instagram posts. Get ahead of the curve in your industry through these data visualization certification and courses. They are perfect for anyone who wants to learn more about becoming a data scientist, big data, machine learning, and all of their potential applications.