Your Instructor


QuestPond
QuestPond

Renowned Trainer and Author MR SHIVPRASAD KOIRALA and QuestPond make a team of top MVP recognized professionals in the Microsoft domain. Since 2001, we have trained many professionals in technologies like Angular, MSBI, Power BI, Data Science, Python ML, AI OOP, ASP.NET, SQL Server, WCF, WPF, Azure, Architecture and Project Management. QuestPond is famous for online training's, recorded videos and best-selling books.

The main goal of Questpond is to create Step by Step lessons on C#, ASP.NET , Design patterns , SQL and so on. As years moved on i added other step by step lessons like Angular , SharePoint , MSBI, Azure and so on.We organize online as well as offline training

For offline training in Mumbai https://www.stepbystepschools.net/

Do Visit to enroll all courses https://www.questpond.com/


This series will teach you Tableau basic step by step. We have 10 labs which covers the below syllabus. :-


Lab 1: - Explaining Tableau, its various versions, installation & understanding tool UI.

Lab 2: - Publishing/distributing report, various interface, Tableau file extensions.

Lab 3: - Datatypes, Managing Metadata & Extracts, Cross Database Joins, Data Blending.

Lab 4: - Explaining Cube and Relational Datasource with their difference, Data preparation in Tableau.

Lab 5: - Visual Analytics(Sorting, Grouping, Filters, Drill Down & Hierarchies) - Part 1.

Lab 6: - Visual Analytics(Parameters, Forecasting, Clustering & Trend) - Part 2.

Lab 7: - Explaining and Creating Dashboards & Stories in Tableau.

Lab 8: - Understanding, using various options & services in creating, customizing Maps in Tableau.

Lab 9: - Explaining different Calculations and LOD(Level of Detail) expression in Tableau workbook.

Lab 10: - Exploring and working with different types of Charts available in Tableau.


Frequently Asked Questions


What will students learn in your course?
1--> All basic concepts of Tableau like installation , understanding UI and configuration. 2-->Publishing/distributing report, various interface, Tableau file extensions. 3-->Datatypes, Managing Metadata & Extracts, Cross Database Joins, Data Blending. 4-->Cube and Relational Datasource with their difference, Data preparation in Tableau. 5-->Visual Analytics(Sorting, Grouping, Filters, Drill Down , Hierarchies,Parameters, Forecasting, Clustering & Trend) 6-->Dashboard , Maps and Charts of tableau.
Are there any course requirements or prerequisites?
No basic knowledge needed. Just start playing and rest leave on the trainer.
Who are your target students?
Beginners who want to get hands on tableau.