Best Data Visualization Courses for Beginners. Data visualization has become a vital skill in today’s world. As all companies work on data, large amounts of data need to be explained and simplified to be accessible to the person who wants to understand it. It is easy to comprehend visually-displayed data in charts or graphs rather than in volumes of spreadsheets and reports. Therefore, all businesses leverage data visualization to analyze information faster, recognize patterns and trends, and find valuable insights. Various organizations are looking for Data Visualization experts. So, the ability to work with data is not just a bonus skill but an essential one.
Data Visualization is helpful in data analytics, finance, marketing, tech, design, etc. So, today’s generation is the best time to learn data visualization for beginners to stand out from the crowd. Online courses offer an effective medium to know the right skills and increase productivity. Below is the list of the best online data visualization courses, certifications, training hours, and tutorials ideal for you. These are available online and charge significantly less.
Before you Choose the Best Courses of Data Visualization Online, Here are the Following Points you Should Keep in Mind
- Rating
- Contents in the course
- Engaging trainer and interesting lectures
- Number of aspirants enrolled
- Reviews from various bloggers and council
Data Visualization with Tableau Specialization– Coursera
Coursera provides the package of data visualization with Tableau. Well, Tableau is a strong, secure, and flexible end-to-end data analytics platform. Some of the top high companies that use Tableau are Audi, Bank of America, Amazon, Burger King, EY, and Kimberly-Clark Corporation.
The program is ideal for beginners in data visualization with no experience using Tableau. After finishing this Tableau Specialization program, you can produce solid reports and dashboards. It will help people make decisions and take action based on their business data. The course takes six months to complete.
It is a 5 Course Series. They are Basics of Visualization with Tableau, Vital Design Principles for Tableau, Visual Analytics with Tableau, Creating Dashboards and Storytelling with Tableau and Data Visualization with Tableau Project.
Plus, you will get a shareable certificate and course certificates upon completion. You will also get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments. You should get into the course if you are a beginner in data visualization and like to work with data and datasets.
Data Visualization With Advanced Excel– Coursera
The course will take 15 months to complete. It will teach data visualization with Excel. You will also learn data visualization, storytelling, and exploring data by reviewing data visualization and dashboarding principles. The program will build complicated graphs and Power View reports using Excel. Here is the syllabus of the course-
- Preparing a Professional Excel
- Advanced Scenario Analysis
- Data Visualization
- Dashboarding
You will get a Course Certificate upon completion. You will also get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments. It is best for beginners. Before that, you have to make sure you have MS Excel 2013 version on your computer.
Data Visualization with Python–DataCamp
There are five courses in this program. You will learn data visualization with Python and its most popular libraries, such as Matplotlib, Seaborn, Bokeh, etc. Below are the five courses:
- You will learn to visualize data using Matplotlib in plots and figures, expose the data’s underlying patterns, and provide insights.
- It introduces Seaborn and teaches you to visualize your data using fields such as scatter plots, box plots, and bar plots.
- The third course is about constructing compelling and attractive visualizations that help you communicate the results of your analyses efficiently and effectively.
- Next, it teaches Bokeh, an interactive data visualization library for Python.
- At last, you will learn how to make attractive visualizations of geospatial data with the GeoPandas package.
Any candidate can enrol in the course who has some prior knowledge of Python.
Data Visualization– Udacity
It is a Nano-Degree Program provided by Udacity, and the course will take four months to finish. This program will teach you to build data visualizations and dashboards. You will also learn to draft presentations using storytelling techniques, visualizations, and animations. Now, let us dig into the syllabus of the program.
- Introduction to Data Visualization
- Dashboard Designs
- Data Storytelling
- Advanced-Data Storytelling
Moreover, you will get a chance to work on real-world projects with industry experts. You will get technical mentor support, a personal coach & career services, interview preparations, resume services, Github review, and LinkedIn profile review.
Are you wondering about the enrolment? You should enrol if you know about descriptive statistics, variance and standard deviations, and distributions and analysis of data in spreadsheets.
Interactive Data Visualization in R– DataCamp
Interactive Data Visualization in R by DataCamp offers five courses.
- In the 1st, you will learn to create maps using the IPEDS dataset.
- The second course teaches creating and customizing interactive graphics plots using the R programming language.
- In the third course, you will get a broad knowledge of the plot to create animated and linked interactive graphics. It helps to communicate multivariate stories rapidly.
- The fourth course is learning to visualize big data in R using ggplot2 and trelliscopejs.
- The last course is about rbokeh (a visualization library for interactive web-based plots).
- The course is for 20 months. Provided that, you should have some basic knowledge in R and an interest in data visualization based on it.
Conclusion
These are the best data visualization courses for beginners. The Data Visualization introductory free course helps you learn to visualize data by creating informative and engaging reports and dashboards. Several tools like Tableau, Power BI, Excel, R, and Python to produce visualizations. Upon completing this program, you will have a crystal-clear understanding to derive meaningful conclusions from data.
Frequently Asked Question
What are the Qualifications Needed to Learn Data Visualization Courses?
There are no qualifications needed to learn the Data Visualization course.
Are Data Visualization Courses Free?
These courses charge a meagre cost.
How Long Does it Take to Finish Data Visualization Course?
On average, it takes three months to complete a data visualization course.
Is it Easy for Beginners to Learn Data Visualization Courses?
Yes.
