12.06.2021, 10:35
![[Bild: jmjbuwgw0biazo2virshk8yjpm.jpg]](https://abload.de/img/jmjbuwgw0biazo2virshk8yjpm.jpg)
Tableau 2021 A-Z : Master Tableau for Data Science and BI
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.19 GB | Duration: 9h 21m
Tableau for Data Visualization, Business Intelligence (BI) and Data Science
What you'll learn
What are Business Intelligence (BI) and Data Visualization?
What is Tableau?
Various Tableau Products
Tableau Public, Tableau Interface & Terminologies
Data Connections using Tableau
Sharing of Tableau Work
Data Types in Tableau, Dimension Vs Measure, Discrete Vs Continuous data, Aggregations & Automatic Fields
Combining Data: Joins, Data Blending & Union
Organizing & Simplifying Data : Filters, Split, Sorting, Groups, Sets and Hierarchy
Creating variety of charts using Tableau "Show Me" : Basic Charts
Advanced Charts in Tableau including Geographic Maps
Flexibility & Interactivity : Creating & Using Parameters
Calculations: Calculated Fields, Quick Table Calculations & Table Level Calculations
Level of Detail (LOD) expressions: Fixed, Include & Exclude
Analytics using Tableau
Dashboards: Create Interactive Dashboards using Dashboard Actions & Objects
Creating Story
Description
Learn "complete Tableau" within 10 hours.
This course covers A-Z of Tableau for Data Visualization, Business Intelligence (BI) and Data Science.
It is intended to make the learners switch from a Beginner to an Expert level, so as to master the Tableau.
This course has been made into 10 sections and covers all the Tableau topics as mentioned below:
1. Introduction to BI & Tableau, Tableau Products, Tableau connections to Data Sources, Interface and Terminologies.
2. Sharing of Tableau work (Publishing the work into Tableau Public Server).
3. Data Types, Dimension Vs Measure, Continuous Vs Discrete Data, Aggregations and Automatic Fields generated by Tableau.
4. Combining data using Joins, Data Blending and Union.
5. Organizing & Simplifying Data (using Filters, Split, Sorting, Groups, Sets and Hierarchy).
6. Basic Charts:
Bar Charts
Histogram
Pie Charts
Line & Sparkline Chart
Combination Charts
Text Tables
Heat Map
Tree Map
7. Advanced Charts:
Box & Whisker Plot
Scatter Plot
Bullet Charts
Pareto Charts
Waterfall Charts
Gantt Charts
Motion Charts
Geographic Maps
8. Advanced Tableau topics [Calculations, Parameters and Level of Detail (LOD) expressions].
9. Analytics using Tableau - Trends, Predictive Analytics / Forecast and Instant Analytics.
10. Creating effective and interactive Dashboards & Story.
The course covers the theoretical aspects of each of the above topics followed by demo on each concept/technique. Also, assignments are included to enable the learner apply various concepts. Finally, quizzes are made available at the end of each section to check the understanding of the learner on various concepts.
Homepage
Code:
https://anonymz.com/?https://www.udemy.com/course/tableau-2021-a-z-master-tableau-for-data-science-and-bi/![[Bild: 001datatypesintableau6rkyy.jpg]](https://abload.de/img/001datatypesintableau6rkyy.jpg)
