Top 5 Data Visualization Courses and Online Certifications in 2023

With Data Visualization becoming increasingly popular, here are the top 5 courses you can arm yourself with in this year 2023

Data visualization is quickly becoming a talent that is essential to learn in this day and age of technology and big data. Organizations are becoming more and more data-driven, so in addition to being able to read vast amounts of data, we also need to be able to analyze, decipher, digest, and compare complicated data in a way that is understandable to anybody who needs it. Visually presented data, such as charts, graphs, and the like, is also easier to understand than collections of spreadsheets and reports because of the way our brains process information. The layers that surround a raw dataset are peeled back by a thoughtful visualization. As a result, all firms today use data visualization to analyze information more quickly, identify patterns and trends, and uncover insightful information. Companies of all sizes are looking for specialists in data visualization. Hence, having the capacity to deal with data is not just a plus, but also a necessary skill. It has the best return on investment (ROI) at the present. Data visualization is not just limited to the field of data scientists and data analysts. Thus, now is the ideal moment to become knowledgeable about data visualization and stay current. An efficient way to acquire the necessary skills and improve your employability is through online courses. All of these are accessible online, some for no cost and some for a small fee. They include Tableau, Python, R, D3.js, Excel, and other tools for data visualization.

1. Certification in Data Visualization using Tableau from UC Davis: The University of California and Tableau collaborated to create this Tableau training for Data Visualization, which is now being made available through the Coursera platform. One of the best ways to learn Tableau is through a course that starts with the fundamentals of data visualization, introduces a variety of Tableau tools, and progresses from there to the creation of multi-frame data stories. Anyone who is familiar with dealing with data and datasets and wants to start learning data visualization using Tableau is a great candidate for this entry-level data visualization using the Tableau certification program. Enrollment in this specialization does not require any prior technical or analytical training.

2. IBM's online course on data visualization using Python is accessible on Coursera and was developed by IBM. Around 85K students have already enrolled in it, making it one of the best Python courses for data visualization. It teaches students how to use Python to visualize data so they can extract information, comprehend the data better, and come to more informed judgments. It includes several Python data visualization tools, including Matplotlib, Seaborn, and Folium, which are used to visually portray the data. The three weekly modules of the course take about 18 hours of work to complete in total.

3. Jose Portilla's course, "Learning Python for Data Analysis and Visualization," is accessible on Udemy. This course's objective is to give students a thorough understanding of Python and how to utilize it efficiently for data analysis and visualization. The topics covered in this course include NumPy, pandas, data import and export in Python, data visualization using Python tools, and data portfolio projects. Moreover, Scikit-machine Learn's learning is mentioned. More than 100 lectures totaling more than 21 hours of video footage, for example, Python code notebooks, supplementary articles and reading materials, and several data analysis projects that students can utilize for their portfolios are all included in the course.

4. Training courses and tutorials for data visualization are available through LinkedIn Learning, and they may help students keep current with industry trends. These courses, which teach the ideal combination of skills to combine the power of data and visuals, have been developed by experts and industry professionals with years of experience. They assist students in building a strong basis for how to approach the interpretation and delivery of data and data insights visually. These resources are divided into groups based on prerequisites and degree of difficulty. Beginners can enroll in introductory courses before moving on to more advanced and advanced courses. All of these are available for free as part of the signup's 30-day free trial.

5. All skill levels can choose from a variety of Data Visualization courses in Pluralsight's library. One can find courses for studying numerous tools and methodologies used in data visualization and analysis, from mastering data visualization with R to using Python, Tableau, or D3.js library for visually portraying data. While some of these courses cater to developers, others adopt the strategy of creating tales and narrations around data, making them particularly beneficial for honing business communications with data skills.