Become a Visualization Expert Using TABLEAU
Become a Visualization Expert Using TABLEAU, available at $19.99, has an average rating of 3.45, with 58 lectures, based on 10 reviews, and has 205 subscribers.
You will learn about Understand the basics of Tableau Improve skills by applying them to Model Data This course is ideal for individuals who are STUDENTS or VISUALIZATION EXPERTS or DATA SCIENTIST or DATA ANALYST It is particularly useful for STUDENTS or VISUALIZATION EXPERTS or DATA SCIENTIST or DATA ANALYST.
Enroll now: Become a Visualization Expert Using TABLEAU
Summary
Title: Become a Visualization Expert Using TABLEAU
Price: $19.99
Average Rating: 3.45
Number of Lectures: 58
Number of Published Lectures: 58
Number of Curriculum Items: 58
Number of Published Curriculum Objects: 58
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Understand the basics of Tableau
- Improve skills by applying them to Model Data
Who Should Attend
- STUDENTS
- VISUALIZATION EXPERTS
- DATA SCIENTIST
- DATA ANALYST
Target Audiences
- STUDENTS
- VISUALIZATION EXPERTS
- DATA SCIENTIST
- DATA ANALYST
Tableau is a Data Visualization tool for molding information into various visuals. This course gives an overview of the fundamentals, from normal computations to implementation of various concepts like Integrating Tableau with R, Advance graphs, Formatting Visualizations. After the completion of this course you will be able to:
- Understand the basics of Tableau
- Improve skills by applying them to Model Data
- Get habituate to Tableau as an Alternative Data Visualization Tool with practical knowledge on different concepts like Mapping Capabilities, Publishing workbooks and dashboards,Transforming Data, Conditional Formatting, Creating Stories out of Data, etc.
- Integrate Tableau with R
- Analyze and Visualize real time data and perform learnt skills
- Create constructive approach to solve business queries with Tableau
Course Curriculum
Chapter 1: Module 1. Tableau Introduction
Lecture 1: 1.1 Distributing and Publishing
Lecture 2: 1.2 Downloading and Installing
Lecture 3: 1.3 Introduction to Tableau
Chapter 2: Module 2. Managing Data Connections
Lecture 1: 2.1 Getting Started with Data
Lecture 2: 2.2 Data Preparation with Excel and Text Files
Lecture 3: 2.3 Appending Data Connection and Data Sources
Lecture 4: 2.4 Editing Metadata and Saving Data Sources
Lecture 5: 2.5 Data Extraction and Utilization
Lecture 6: 2.6 Joining Related Data Sources
Lecture 7: 2.7 Data Transformation Methods
Lecture 8: 2.8 Advance Data Transformation Methods
Lecture 9: 2.9 Connecting to MySQL
Lecture 10: 2.10 Connecting to Google Analytics
Chapter 3: Module 3-Formatting Tableau Visualization
Lecture 1: 3.1 Sorting Tableau Data
Lecture 2: 3.2 Grouping Tableau Data
Lecture 3: 3.3 Grouping Extended
Lecture 4: 3.4 Creating Sets
Lecture 5: 3.5 Working with Sets
Lecture 6: 3.6 Using Filter Shelf
Lecture 7: 3.7 Implementing Quick Filter
Lecture 8: 3.8 Filter for Top and Top N
Lecture 9: 3.9 Filtering Extended
Lecture 10: 3.10 Formatting Pane
Lecture 11: 3.11 Trend Lines
Lecture 12: 3.12 Reference Lines
Lecture 13: 3.13 Forecasting
Chapter 4: Module 4-Formatting Tableau Visualization Part-II
Lecture 1: 4.1 Creating Calculated Field
Lecture 2: 4.2 Adding Totals and Sub-Totals to Cross-tab
Lecture 3: 4.3 Creating Heat Map
Lecture 4: 4.4 Creating Box and Whisker Plot
Lecture 5: 4.5 Changing Summary Operation
Lecture 6: 4.6 Changing Visual Summary Type
Lecture 7: 4.7 Changing Appearance of Your Data
Lecture 8: 4.8 Resizing Visualization
Lecture 9: 4.9 Displaying a Visualization in Presentation Mode
Chapter 5: Module 5-Dashboards and Stories
Lecture 1: 5.1 Building Dashboards
Lecture 2: 5.2 Dashboards Interactivity using Actions
Lecture 3: 5.3 Creating Stories
Chapter 6: Module 6-Mapping with Tableau
Lecture 1: 6.1 Creating Basic Maps
Lecture 2: 6.2 Setting Map Options
Lecture 3: 6.3 Advance Mapping in Tableau
Lecture 4: 6.4 Custom Geocoding
Lecture 5: 6.5 Polygon Maps
Lecture 6: 6.6 Adding Background Images
Chapter 7: Module 7-Computations
Lecture 1: 7.1 Getting Started with Computations
Lecture 2: 7.2 Calculation Syntax
Lecture 3: 7.3 Introduction to LOD Expressions
Lecture 4: 7.4 Introduction to Table Calculations
Lecture 5: 7.5 Modifying Table Calculation
Lecture 6: 7.6 Aggregation Calculations
Lecture 7: 7.7 Date Calculations
Lecture 8: 7.8 String Calculations
Lecture 9: 7.9 Type Calculations
Lecture 10: 7.10 Parameters
Lecture 11: 7.11 Understanding Pill Types
Lecture 12: 7.12 Fixing Incorrect Sorts with INDEX()
Chapter 8: Module 8-Integrating with R and Hadoop
Lecture 1: 8.1 Connecting Tableau with R
Lecture 2: 8.2 Using R with Tableau
Instructors
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 2 votes
- 3 stars: 2 votes
- 4 stars: 3 votes
- 5 stars: 2 votes
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