Tableau
Tableau is a Business Intelligence tool for visually analyzing the data. Users can create and distribute an interactive and shareable dashboard, which depict the trends, variations, and density of the data in the form of graphs and charts. Tableau can connect to files, relational and Big Data sources to acquire and process data. The software allows data blending and real-time collaboration, which makes it very unique. It is used by businesses, academic researchers, and many government organizations for visual data analysis. It is also positioned as a leader Business Intelligence and Analytics Platform in Gartner Magic Quadrant.
About Project
This concept for all those readers who want to create, read, write, and modify Business Intelligence Reports using Tableau. In addition, it will also be quite useful for those readers who would like to become a Data Analyst or a Data Scientist.
Our team of instructors are committed to creating an excellent learning experience for users that can be both affordable and easily accessible. We are focused to make Tableau software concepts much more easier to the audience and produce expert software, test professionals.
Success Feature
- High-Standard Training
- Top Technical Instructor
- Broad Course Curriculum
- 100% Placement Support
- Superb Satisfaction Result
- Internship on Real-Time Project
- 3I– Individual Focus, Innovative & Interactive
Target Student
- Web Developers
- Frontend Developers
- Aspiring Developers
- UI/UX Designers
- Tech Enthusiasts and Career Changers
Basic Knowledge Required
- Before proceeding with this tutorial, you should have a basic understanding of Computer Programming terminologies and Data analysis. You should also have some knowledge on various types of graphs and charts. Familiarity with SQL will be an added advantage.
Module 1 : Introduction to Data Visualization and The Power of Tableau
- What is data visualization?
- some quick and powerful examples using Tableau without going into the technical details of Tableau
- Installing Tableau
- Tableau interface
Module 2 : Architecture of Tableau
- Architecture of Tableau
- Interface of Tableau (Layout, Toolbars, Data Pane, Analytics Pane, etc.)
- Tableau field types
- Saving and publishing a data source
- Live vs extract connection
- Various file types
- The ways to share and export the work done in Tableau
Module 3 :others
- Charts and Graphs
- Working with Metadata and Data Blending
- Advanced Data Manipulations
- Working with Filters
- Organizing Data and Visual Analytics
- Working with Mapping,Calculations and Expressions,Parameters.
- Tableau Prep
Jordan Reynolds
Instructor
Lead – Full Stack |JS Node ES6 | React & Redux | Angular | TS | Java 8,11,17 | Junit 4 & 5 | Spring Boot | JPA | Hibernate | Microservice | OpenShift | K8s | ELK | Docker |AWS |CI/CD| AGILE|A
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