We know that Data Science helps in accurate, better and faster decision-making, similarly Tableau is an extremely powerful visualization software that helps to make more and better data-driven decisions. With Tableau you can easily learn to analyze and display data with a simple drag and drop design; it primarily comprehended in business intelligence and analysis. Let me make it more simple for you, Tableau is a BI tool used to visualize and analyse critical data in an easy and attractive format, which is currently being used by thousands of companies worldwide, even some business organization consider it as a 'must-have' for projects related to Data Science.
Well, before digging deep into the features of Tableau, let first understand what is Data science, how data visualization is being used in data science to solve problems, communicate predictions and make better business decisions! Data Science is basically about discovering knowledge, finding patterns and hidden insights from a large database. Data scientists transform this raw data into models and visually communicate these meaningful insights about a product or customer information using data visualization such as statistical graphs, plots, information graphs and other tools. In simple words, Data Visualization allows scientist to give the extracted data a visual form through visual representation using charts and non-charts. With data visualization, data findings become more communicable and complex data becomes more accessible, understandable and useful. It has even been advised by industry experts that if you are pursuing a career as a Data Scientist or Data Analyst, then Data Visualization is 'must-have' skillset!
I hope you got a fair idea on "how data visualization supports communication?" Now lets learn how Data Visualization with Tableau helps in making communication more clear, attractive and how it contributes to make more data-driven decisions! Well, Tableau's ease of use comes from its 'drag and drop interface' feature, that is, it lets users to perform the tasks like sorting, comparing and analyzing with more ease and comfort; to be more precise, its a hassel free software that is compatible with multiple sources, including excel, SQL server and cloud-based data repositories. Moreover, the simple representation of graphs is merely the tip of the iceberg, there is a wide array of visualization methods to present data in more effective, interactive and attractive ways, which are basically categorized into two types, that is 'General types of data visualization' and 'Specific methods to visualize data'.
The common general types of data visualization includes Chats, Tables, Graphs, Maps, Infographics and Dashboards, while the more specific examples of methods to visualize data are Area Chart, Bar Chart, Box and Whisker Plots, Bubble Cloud, Bullet Graph, Cartogram, Circle View, Dot Distribution Map, Gantt Chart, Heat Map, Highlight Table, Histogram, Matrix, Network, Polar Area, Radial Tree, Scatter Plot (2D or 3D), Streamgraph, Text Tables, Timeline, Tree map, Wedge Stack Graph, Word Cloud and Mix and Match method. We can even say that Data Visualization with Tableau makes an A-1 choice for Data Scientists and world-class software solution for business organizations.
Another feature of Tableau that makes a great tool for Data Scientist/Data Analyst is that it offers a seamless cross-language operations with Python, R and also with DBMS like SQL. This unique functionality of Tableau allows users to import the R and Python scripts in Tableau, that not only helps the user to access to a rich collection of statistical analysis with ease, but also let them gain a deeper insight from the data, and provides more accurate approach to predictive analysis. Well, you can even create visuals quickly with Tableau, and can switch between models to find the best representation chart that best represents your information with just few clicks, it can easily manage huge amount of data and allows customizing options along with hassel free integration with multiple data sources. In simple words, Tableau is just more than a data visualization tool, it is more like a new approach the graphical representation of data that makes communication faster and data more attractive. It is fast, user-friendly and a simple-to-use tool, that helps to make more data-driven decisions.
Now, let see how the integration of R and Python with Tableau amplifies data with visual analytics? Well, Tableau makes it easier and quicker to identify patterns and build models by integrating with the programming language R and Python. With R, patterns can be analysed and even can be reproduced effortlessly, users can also create multiple charts to get meaningful insights, which increases the possibility to fetch the unseen patterns within the datasets. Furthermore, the data discovery is only with Tableau's in-built drill-down and data blending features. Moreover, with such extensive functionality in data exploration, every industry around the world wants to harness the power of Data visualization to stay ahead of the competition.
So if you are feeling intimidated to learn Data Visualization skill with Tableau, then check out the details related to our Tableau training program at our website and get certified in Tableau from either IBM, Microsoft or Harvard University.
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