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

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. ??

To embark on a self-guided journey to master data visualization, begin by grounding yourself in the foundational principles of data visualization. This includes understanding different types of visual representations, such as bar charts, line charts, and scatter plots, as well as the basics of design and storytelling with data. Also, familiarize yourself with essential tools like Excel, Tableau, Power BI, Python, or R to create impactful visualizations. Online platforms offer comprehensive courses. Apply your knowledge through projects, using datasets from sources like Kaggle or the UCI Machine Learning Repository. Hands-on practice is invaluable for visualizing climate change data or economic trends.

1) The basic is important for anything. So we have to be strong in the basic. 2) There are many tool in the industry out of which you have to identify which one excite you most and which one you wanted to learn 3) Choose a platform like DataViz Kaggle to select Data set to learn creating the Dashboard. 4) Follow the free resources. Learn from the free resources & from the paid resources. 5) Choose a mentor 6) Interact with people who are in the same Industry and be part of the community 7) SQL is utmost important 8) Share your post with others in LinkedIn, spread your knowledge 9) Reading article, Blogs is also important. You would be able to learn more from Blogs and article. 10) Consistency is important.

Data visualization or any other skill is not that hard to learn, unless you learn with full focus and sincerity. Get sttarted with the following steps- 1. Learn and familarize yourseelf with the basics. Once the basics are clear, the journey is far more easier. 2. Choose a data visualization tool. It can be any- Excel, Tab;eau, PowerBI, Google Data Studio or D3.js. Make sure the tool you are using aligns perfectly with your requirements. 3. Apply concepts using datasets and follow best practices. This will help you in making your knowledge concrete.

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.

Explore popular data visualization tools and software such as Tableau, Power BI, Python libraries like Matplotlib and Seaborn, R programming, and JavaScript frameworks like D3.js. Invest time in learning the features, functionalities, and best practices of these tools to create impactful visualizations.

Escolha uma ferramenta para praticar. Softwares como Tableau, Power BI e Google Data Studio s?o fáceis de aprender e possuem vers?es gratuitas. Comece por datasets simples e avance para conjuntos de dados mais complexos.

There are a lot of great Data Visualization tools available. And my first choices would be 1) Power BI, 2) Tableau and 3) Excel Dashboards. Power BI Desktop is free, and this is a highly desired skill to have. The same is true of Excel Dashboards, these are much easier than you think. And then Tableau, as a student, you have access to Tableau for a year for free. And there is actually another option, Qlik, not as popular as the others, but another good option. There are a ton of videos online (LinkedIn, YouTube, and blogs from Excel MVPs) for all of the different softwares.

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 visualiza??es 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. N?o 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.

Practice creating various types of visualizations using different datasets to hone your skills. Start with simple charts and graphs, and gradually progress to more complex visualizations such as dashboards, interactive plots, and infographics. Experiment with different design elements, color palettes, and layouts to understand their impact on readability and comprehension.

Practice makes perfect, right? Well there is a reason. Go and find those sites that offer tutorials, and do exactly that practice. understand the different features available in each of the different softwares, and how to do things. Continue to practice, it is important to set time aside if you want to become better.

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.

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.

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.

Compile your projects into a portfolio to showcase your skills. Use platforms like GitHub or a personal blog to share your work. This not only demonstrates your capabilities but also helps in receiving feedback and connecting with the community.

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.

Data visualization is a rapidly evolving field. Stay updated with the latest trends, tools, and techniques by following industry leaders on social media, subscribing to newsletters, and attending webinars or conferences.

Data visualization is a rapidly evolving field. Stay updated with the latest trends, tools, and techniques by following industry leaders on social media, subscribing to newsletters, and attending webinars or conferences.

Create a visual memory of insights in a data flow approach. Transfer using a data visualisation tool to bring it more to life.

Networking plays a crucial role. Engage with the data visualization community through forums, social media groups, and local meetups. Feedback from peers can offer new insights and opportunities for growth. Also, consider cross-disciplinary learning to enhance your understanding of statistics, data analysis, and domain-specific knowledge, enriching your visualizations.