Top 10 Reasons to Learn Tableau in 2023 | Tableau Certification | Tableau | Edureka Rewind

top 10 reasons to learn Tableau number one it is easy to learn and use the biggest obstacle that comes while adopting a new technology or a tool is the time and the opportunity cost involved while learning it and this is something you don't have to worry about at all when learning Tableau if you consider the learning curve of Tableau it is very small as compared to the other bi tools the obvious point to note here is that Tableau is easy to learn only because it is very easy to use Tableau UI is just a simple drag and drop interface but you will be amazed to know what Tableau can do with just dragging and dropping and a few clicks just look at the visualizations here reason number two it is the best bi tool and I'm not saying it it's Gartner who has been naming Tableau as the leader from the past 5 years Gardner is among the top it research firms who makes an analysis every year on different tools and Tableau has proven to be the leader among them all Tableau has completely defeated other major players in the market like Microsoft click IBM who are the parent companies of popular business intelligent tools like msbi powerbi click view click sense cognos Etc in easy words Tableau is the best bi tool in the market number three it is very interactive the visualizations created with Tableau are very interactive you can play around using filters tool tips and map navigation which provides you much more power to quickly Test new ideas drill down into specific spefic data segments or remove outliers from the analysis it also reduces the number of charts that needs to be created in a document which improves navigation and is much more intuitive for the client although traditional analysis tools have some basic interactivity which are cumbersome to program but interactivity in Tableau is created in seconds you can also easily embed your visualizations or charts in your web page number four enhance visual izations Tableau visualization is not limited to the traditional set of bar charts line charts and pie charts the software offers many more options that can release new insights from the data that may not have become apparent with the limited set of traditional visualizations in particular tableau's ability to plot a large number of data points with visualizations such as the packed bubble charts significantly enhances the ability of users to analyze data more effectively you can even plot your data on Geographic maps and guess what you don't even have to explicitly specify them Tableau detects Geographic locations automatically if your data set contains it reason number five seamless and automated data updates with Tableau Data updates are seamless be daily or weekly or monthly yearly anything all visualizations and filters are updated automatically and any joins between data sources are not affected what's more these updates are normally automated so the user may not even need to initiate the update and this can save huge amount of time for repetitive analysis such as the monthly kpi reports reason number six with Tableau you can access large data sets now Microsoft Excel sheets are limited to just over 1 million rows in truth performance tends to drop well before this level with Tableau users can now manipulate much larger data sets well well over 100 million rows this has implications for the quality of analysis that a user can produce instead of analyzing aggregate data like the daily sales by store users can now analyze transaction level data generating much more granular insights and providing more value to the clients Tableau can even connect to your big data platforms like Cloud era Horton Works Etc you can connect to the data present in your hive database and perform analysis on it reason number seven data joining and blending data joining also involves a simple drag and drop in Tableau you just have to drag the new data set to the existing loaded data set and it will join it automatically as a inner outer left or right join based on the fields present in your data set data blending in Tableau is the operation of combining multiple data sources into the same view by finding common fields between them to join on unlike an ordinary join which combines data sources at the lowest granularity before any aggregation is done a data blend can join data sources after aggregation is performed on the individual sources ultimately limiting the number of records that are joined together and maximizing computational efficiency reason number eight Tableau for all devices ever wish you could make your dashboard look great on desktop and as well on the mobile phones well say hello to the device designer in tableau with its new feature you can design preview and customize dashboard appearance on phones tablets and desktop monitors then you can publish a single dashboard to Tableau server with optimized viewing and interaction across a range of devices you can tailor a dashboard's composition and contents according to different browser window sizes when you publish the dashboard to Tableau server or tablet online people who interact with it experience a dashboard designed specifically for the screen size whether it's a phone tablet or desktop reason number nine no technical assistance required since Tableau is so easy to use and understand business analyst and other non-technical people in your organization can use Tableau easily since Tableau is so easy to use and understand business analysts and other non-technical people in your organization can use Tableau and harness its power to create visualizations and build dashboards that could be shared across your organizations reason number 10 last but not the least it is aligned to your career goals with Tableau being adapted by all companies there is a huge demand for Tableau Professionals in the industry Tableau is a desirable skill in the industry now take a look at the Tableau job trends that has been collected from indeed.com and as you can see it is rising every day and with its high demand comes a high salary too a expert can earn from $61,000 to $127,000 it depends upon the years of experience you have and also the organization that you're joining I hope this reasons were enough to trigger your nerd adrenaline and get started with Tableau thank you for watching this video Happy learning