Tableau A-Z: Hands-On Tableau Training
Master Tableau and learn advanced analysis & data visualization using Tableau
Updated on Sep, 2024
Language - English
Business,Business Analytics and Intelligence,Tableau
Lectures -32
Resources -1
Duration -6.5 hours
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Course Description
Tableau is widely used by several businesses currently to deal with big data problems. Working with Tableau is not only rewarding but enjoyable as well. You don't need to be a coder to understand Tableau because it uses a drag-and-drop interface, unlike the majority of data analysis tools.
Learn the principles of data visualization and data discovery using Tableau with step-by-step training.
You will learn how to group, sort, and filter your data as well as how to make tables, bar charts, and line charts in this course. Also, you will learn how to aggregate with total, average, min, max, and counts, as well as display position using geographic maps. You will learn how to combine data using joins, blends, unions, and relationships, as well as how to construct new fields using calculations.
You will become familiar with all of Tableau's capabilities that make it simple, quick, and beautiful to explore, experiment with, correct, prepare, and present data.
Tableau A-Z: Hands-On Tableau Training Overview
This course begins with a basic Introduction to Tableau. You will learn how to use the software, link it to a data file, and export a worksheet, so even new users won't have any trouble.
You'll discover how to use data extracts and time series to analyze your data for trends and provide precise projections.
You'll also discuss how to utilize aggregations to summarize data so that it is simpler to understand. To achieve correct calculations, you will also employ granularity.
You'll go over how to make different graphs, maps, scatterplots, and interactive dashboards for each of your projects in order to start visualizing data.
You'll even discover when joining or blending data is the greatest option for using and presenting information from several sources.
You will have mastered the use of Tableau by the time you finish this course. In order to easily evaluate and illustrate complicated problems, you will be drawing information from data utilizing your expertise as a data scientist.
Whether you're working with scientific data or you want to make predictions about buying trends to enhance earnings, you'll be completely equipped to gather, analyze, and display data for any reason.
Goals
- Make pie charts, line graphs, and bar charts.
- Conditional logic is used to create calculated fields.
- Make dynamic dashboards out of various worksheet combinations.
- By employing joins, blends, unions, and relationships, combine several data sources.
- Learn how to use Tableau's different analytical features, including clustering, forecasting, and reference lines.
- Get all there is to know about the Level of Detail Expressions.
- End-to-end Tableau training
Prerequisites
- Familiarity with Excel is helpful, but not required.
- You should have access to a computer running Mac or Windows.
Curriculum
Check out the detailed breakdown of what’s inside the course
Welcome to the Course!!
2 Lectures
-
Introduction to Tableau
01:40
01:40
-
Course Resources
Data Visualization
1 Lectures
BI Process
1 Lectures
Tableau & It's Architecture
5 Lectures
Tableau Desktop
1 Lectures
Relationships, Joins & Unions
1 Lectures
Sets in Tableau
1 Lectures
Groups in Tableau
1 Lectures
Hierarchies in Tableau
1 Lectures
Filters in Tableau
1 Lectures
Highlighting
1 Lectures
Device Deisgner
1 Lectures
Parameters
1 Lectures
Data Blending & Mark Size
1 Lectures
Transparency
1 Lectures
Date Aggregation
1 Lectures
Generated Fields
1 Lectures
Discrete vs Continuous
1 Lectures
Charts in Tableau
1 Lectures
Pivot Tables in Tableau
1 Lectures
LOD Expressions
1 Lectures
Calculated Fields
1 Lectures
Formatting
1 Lectures
Analytics in Tableau
2 Lectures
Dashboarding
1 Lectures
BONUS!!
1 Lectures
Instructor Details
Satyajit Pattnaik
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