Free Data Visualisation Courses For Data Scientists
Data visualisation, as the name suggests, gives visual representation of data and information. That is, it provides a clearer picture of what information means by providing visual context through maps or graphs. Data visualisation is mostly used to identify trends and patterns, data cleaning, exploring data structures and detecting outliers within large sets of data. It is a fundamental tool of modern data science. Today, we list seven free courses to learn about data visualisation: Become a Data Visualization Specialist- Concepts: LinkedIn Learning Offered by LinkedIn Learning, this course is spread over seven modules. It is offered by Doug Rose, Bill Shander, Nigel French, Amy Balliett, and Matt Francis and covers the following topics: Learning data science: Storytelling with data to engage stakeholders and drive results Data visualisation: Keys to tell a story with data Designing an infographic: Building infographics to make complex information easy to understand and visually compellingLearning data visualisation: communicating complex ideas through data visualisation, and turning information into artwork Data visualisation best practices: Building accurate and compelling visualisations and creating charts and graphs Data visualisation for data analysis and analytics: Leveraging best practices in visualisation and design for communication Data visualisation tips and tricks: Tips to choose the right visualisations, chart relationships, visualise data distributions, and creating maps. The course is approximately 14 hours long, and on completion, candidates earn a certificate. It is available for free. For more information, click here. Analyzing and visualizing data with Power BI: edX Offered by Davidson College, this introductory-level course is delivered by Pete Benbow, Team Lead for Analytics and Business Intelligence at Davidson College. After completing this course, learners will learn how to identify and work with business-oriented data sets, import and prepare data for loading into a data model, identifying different types of data visualisations and their purposes, creating and sharing fully functional Power BI reports and dashboards. While auditing the course is available for free, for a verified track, graded assignments and shareable certificate, one has to pay Rs 14,816. The course requires no prerequisites. For more information, click here. Data visualisation with Python: Coursera Offered by IBM, this intermediate-level course is delivered by IBM’s data scientist and developer advocate Saishruthi Swaminathan. It is a part of multiple professional certifications programmes. In this course, one will get to use several data visualisation libraries in Python, namely– Matplotlib, Seaborn and Folium. On completion of this course, learners will gain Python programming, data visualisation, and Matplotlib skills. While the course is offered for free, one has to pay $39 per month for access to graded materials and a certificate. It approximately takes 20 hours to complete and is available in English with subtitles offered in 10 different languages. For more information, click here. Data Science- Visualisation: edX Data Science visualisation course offered by Harvard University is available on edX platform and delivered by Rafael Irizarry. On the compilation of this course, one will be able to master data visualisation principles, communicating data-driven findings, using ggplot2 to create custom plots, and learn the weaknesses of several widely-used plots and why one should avoid them. Additionally, the course will also look at mistakes, biases, systematic errors, and other unexpected problems. The course is eight weeks long and requires time commitment of one to two years per week. While the course is free to take, one needs to pay $149 for a verified certificate. For more information, click here. Data visualisation with Tableau specialisation: Coursera Offered by University of California, Davis, this course is presented by Desiree Abbott, Govind Acharya, Hunter Whitney, and Suk S Brar. This beginner-level course approximately takes six months to complete and offers a shareable certificate. One completion of this course, one will learn how to examine, navigate and learn to use the various features of Tableau, create and design visualisations and dashboards, assess the quality of the data and perform exploratory analysis, and combine the data to and follow the best practices to present one’s story. The course is meant for newcomers with no prior experience of using Tableau. The course has five parts to it– fundamentals of visualisation with Tableau, essential design principles for Tableau, visual analytics with Tableau, creating dashboards and storytelling with Tableau and data visualisation with Tableau project. The course is available free of cost. For more information, click here. Data visualization for everyone: Datacamp Offered by Richie Cotton, Learning Solutions Architect at DataCamp, this course offers an introduction to data visualisation with no coding involved. The course is divided into four parts: Visualising distributions: Talks about the value of visualisations using real-world data to graphically represent the spread of a variable using histograms and box plots. Visualising two variables: Interpreting data plots and understanding core data visualisation concepts including correlation, linear relationships and log scales.The colour and the shape: This part will make insights even more impactful. It teaches how to add colour and shape to make data visualisations clearer and easier to understand. 99 problems but a plot ain’t one of them: In this final segment, one will learn how to identify and avoid common plot problems, that is, how to avoid creating misleading or hard to interpret plots. With this course, ine will explore over 20 datasets including global life expectancies, ESPN’s 100 most famous athletes and greatest hip-hop songs of all time. The course is available for free. For more information, click here. Learn data visualisation with Python: Codecademy This  course by Codecademy covers introductions to Matplotlib and Seaborn. In this course, learners will learn the following in Matplotlib: Creating line graphs Creating bar charts Creating pie graphs Adding error bars to graphs Adding labels and styling graphs On completion of this course, one will be able to produce high-quality plots to visualise their data. Additionally, one will learn to choose colour schemes for graphs on Seaborn, and create bar charts for analysis. The prerequisites for this course include basic knowledge of Python, including how to write functions, use lists and loops and call methods on objects. Usually the course takes six hours to complete. One will earn a certificate on completion of this programme. For more information, click.
A fundamental tool of modern data science, data visualisation is used to identify trends and patterns and for data cleaning, among others.
A fundamental tool of modern data science, data visualisation is used to identify trends and patterns and for data cleaning, among others.
["Coursera", "Data Science", "Data Scientist", "Data Visualisation", "data visualisation python", "edx"]
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["AI", "data science", "analytics", "Matplotlib", "Seaborn", "RAG", "Python", "R", "Go", "business intelligence"]
After diving deep into the Indian startup ecosystem, Debolina is now a Technology Journalist. When not writing, she is found reading or playing with paint brushes and palette knives. She can be reached at debolina.biswas@analyticsindiamag.com