What do you do if you want to learn Data Visualization on your own? (2024)

If you want to learn Data Visualization on your own, here's a roadmap:✅Learn the Basics.✅Choose a Tool.✅Practice with Datasets.✅Explore Tutorials and Courses.✅Read Books and Articles.✅Analyze and Critique Visualizations.✅Build a Portfolio.✅Stay Updated.Consistency and hands-on practice are key to mastering data visualization on your own. Start small, be patient with yourself, and gradually build your skills over time.

Based on my experience, I could see below 4 steps are key to self start your visualization journey:1. Learn SQL: Understand SQL concepts and practice querying data.2. Choose a Tool: Research and select a data visualization tool that aligns with your goals.3. Hands-On Practice: Get practical experience by creating visualizations and working on real-world projects.4. Share Your Work: Post your visualizations on LinkedIn and seek feedback.Last but not least, know how to provide option to export reports to Excel. 😉

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Learning the tools is the second step after brushing up the basics. Learn the tool by not just mugging up the concepts, rather import a sample dataset and trying exploring and play with it. It might take some time to increase the speed of data visualization, but once you are well-versed with the options, it will be far more easier.

First, you need to understand the basics of data visualization, which means knowing how to represent data in visual formats like charts or graphs. This includes understanding things like what types of charts to use for different kinds of data and how to interpret them.After that, you should start using data visualization tools. These are software programs that help you create visual representations of data. Start with easy to use tools that let you drag and drop elements and use templates to make things easier. Once you're comfortable, you can move on to more advanced tools that give you more options to customize your visualizations. These tools usually come with tutorials to help you learn how to use them.

If you want to learn data visualization on your own, the best approach is to practice regularly. Start with small projects using data that you find interesting. Try to recreate visualizations that you like to understand how they are made. Experiment with different styles and formats and don't worry about making mistakes they are a normal part of learning. With practice, you will learn which visualizations are best for different types of data and how to effectively share your findings.

Pratique constantemente! Crie visualizações de dados com frequência. Tente recriar gráficos que viu online, mas usando seus próprios dados. A cada novo projeto, vá incrementando o seu conhecimento e explorando novas funcionalidades das ferramentas.Não tenha medo de partilhar o seu trabalho! Publique os seus gráficos nas redes sociais ou crie um portfólio online. O feedback de outros entusiastas de dados pode ser valioso para o seu desenvolvimento, e a comunidade é bastante aberta, receptiva a este tipo de coisas e promove a entreajuda.

Translated

Internet is a sea of resources and can help you to gain skills, only if you are determined to learn the same. You need not to purchase expensive courses to learn. Instead, research a bit and find free online courses, tutorials and youtube channels that can help you gain the same skills, without spending a single penny.

Building a portfolio is a best way to showcase your data visualization skills. A portfolio is basically a website which contains all your projects so that people can refer to it anytime. Creating a portfolio will make you stand out in the crowd and will impress your employers.

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This is something I had never thought about previously, however I was often asked during a job interview about a portfolio. All I could say was the work I created was the property of my current or previous employer. While that IS true, the portfolio is when you follow along with a tutorial and create something, or create something you developed completely on your own for practice. All these items should be part of your portfolio.

Data visualization field is constantly evolving with new tools and techniques coming day by day. Its important to keep up with the best practices and stay relevant. You can follow top company pages, subscribe to their newsletters and can attend webinars, if possible.