Data visualisation is a powerful tool that helps businesses and individuals make sense of complex data. Tableau is one of the leading data visualisation software in the market today. It provides a user friendly interface that allows users to create interactive and visually appealing visualisations. Tableau is one of the most popular data visualisation tools, used by businesses, researchers and data analysts around the world. Read more to know everything beginners need to understand about data visualisation with Tableau.
Table of Contents
- 1 What is data visualisation?
- 2 Why use Tableau for data visualisation?
- 3 Getting started with Tableau
- 4 Creating a basic visualisation
- 5 Adding interactivity
- 6 Customising your visualisations
- 7 Sharing your visualisations
- 8 Career as Data Scientist
- 9 Certificate Program In Data Science And Machine Learning
What is data visualisation?
Data visualisation is the process of presenting data in a visual format, such as charts, graphs and maps. This allows people to easily understand and analyse the data. It helps to identify patterns and trends that may not be immediately obvious from raw data.
Why use Tableau for data visualisation?
Tableau is a powerful data visualisation tool that allows you to create interactive and dynamic visualisations. It is easy to use and provides a wide range of features and capabilities, making it a popular choice for businesses and researchers alike.
Getting started with Tableau
To get started with Tableau, you need to download and install the software on your computer. One can download a free trial from the Tableau website or purchase a license for the full version. Once installed, you can begin to explore the different features and tools that are available. The Tableau interface is designed to be intuitive and user friendly, with a drag and drop interface that makes it easy to create and modify visualisations.
Creating a basic visualisation
To create a basic visualisation in Tableau, you need to import some data. Tableau supports a wide range of data sources, including spreadsheets, databases and cloud services. Once you have imported your data, you can begin to create a visualisation. To do this, you will need to select the type of visualisation you want to create, such as a bar chart, line graph or scatter plot. Then, you can drag and drop data onto the visualisation and customise it to suit your needs.
One of the key features of Tableau is its ability to create interactive visualisations. This means that you can add filters, sliders and other controls that allow us to interact with the data and explore it in more detail. For example, you can create a visualisation that shows sales data for different regions and periods. You could then add filters that allow you to select specific regions or periods and see how the sales data changes in response.
Customising your visualisations
Tableau provides a wide range of customisation options that allow you to create visualisations that are tailored to your needs. We can customise everything from the colours and fonts used in our visualisations to the way that data is aggregated and displayed. For example, you might want to create a visualisation that shows the sales data for different products over time. You could customise the visualisation to show the data as a line graph with different colours for each product.
Sharing your visualisations
Once you have created a visualisation in Tableau, you can share it with others in a variety of ways. You can export the visualisation as an image or PDF file, embed it on a website or blog or share it as a Tableau workbook. Tableau also provides a range of sharing and collaboration tools that allow us to work with others on our visualisations.
Career as Data Scientist
We see a career as a Data Scientist as a rapidly growing profession. As businesses and organizations generate massive amounts of data, Data Scientists are increasingly in demand to analyze and interpret it to inform decision-making. They are responsible for collecting, cleaning and organizing data, using statistical and machine-learning techniques to extract insights and predictions.
A career in data science requires a strong foundation in mathematics, statistics, computer science and business as well as excellent communication and problem-solving skills. With a high demand for skilled Data Scientists across a wide range of industries, we see it as a promising career choice for those interested in working with data.
Certificate Program In Data Science And Machine Learning
Imarticus Learning is a platform that helps young professionals upgrade their skills. Here, students or young professionals can find several certificate courses. If you are looking for a career in Data Science then, you can enrol in Imarticus Learning's Certificate Program In Data Science and Machine Learning. The program is designed to provide a comprehensive understanding of data science and machine learning concepts and tools. Enrol in Certificate Program In Data Science And Machine Learning today to launch your career as a Data Scientist!
We believe mastering data visualisation with Tableau is a valuable skill for any aspiring Data Scientist. By investing time and effort into learning Tableau, aspiring Data Scientists can enhance their data analysis skills, create more compelling presentations and stand out in a competitive job market.