Tableau

INTRODUCTION If we talk according to the human psychology, we like things which are good in appearance. The same thing happens with data. We understand data without any doubt when it is arranged in a proper format. Data science, digital marketing, business analytics etc. are some technologies which are being used currently in the market very frequently. Data science is a technology which accumulates data from the user and use useful information from it for giving the end result to the user. If you belong to the technical industry, you would know the complete process of the data science technology. In all these technologies, the data is collected and analyzed. There is a stage in between at which the collection of data is done. The collection of  data science course syllabus   should be in a well-organized manner. The better the data is organized, the more accurate it is and the more easily it can be understood. So, it is very important to arrange the data in a proper form...

When it comes to data visualizations, QlikView and Tableau come to our minds. But it is difficult to choose between both. A battle exists between these two tools- QlikView vs Tableau. Both of these tools must be known equally to understand which one to use when it comes to Data Visualization.  data science course syllabus   Now, lets us compare between Tableau and QlikView. 1 .        USED EASILY ●         QlikView: It is used easily and the hidden trends can be explored. If you want to search any word, type them in the search box for results and the connection will be shown with the relationship over your data. Because of menu driven properties, there is difficulty in designing their views for users. ●         Tableau: It consists of simple interface, with one page containing not many features and possess drag and drop interface. Search content feature is not avail...

Since its launch, Tableau was not very much accepted by the professionals because they did not consider it worthwhile. However, soon the business analysts and the IT professionals realized how important it can be for their businesses, and so, tableau picked up pace in the BI industry. Presently, the Magic Quadrant of Business Intelligence released by Gartner has been placing Tableau at the top spot since the last few years. Tableau is being currently used by a number of companies which deal in Business Intelligence and analytics for the preparation of reports on the basis of data visualization.  What helped Tableau to become so popular? The main theory behind the creation of Tableau was to develop a user-friendly and simple application which will be able to help, not only, prepare charts, graphs, report or maps, but also aid in the detailed analysis of the  data science course syllabus . This simple and easy to use, yet important and valuable platform that Table...