24-10-2024, 05:54 PM
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Data Visualization Using Tableau By Iibm Institute
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.63 GB | Duration: 12h 46m
"Data Visualization Using Tableau : Data Visualization ,Tableau ,Dashboard, Data Analysis ,Interactive Reporting."[/center]
What you'll learn
Data Visualization Techniques: Learn to create and interpret various graph types, including bar and line graphs, for effective data representation.
Geographic Mapping and Data Integration: Utilize geographic location mapping and understand different join types and data blending for comprehensive analysis.
Dashboard Design and Interactivity: Develop interactive dashboards using grouping, highlighting, and tooltips to enhance data presentation.
Advanced Analytics: Implement clustering and regression analysis to uncover insights and relationships within the data.
Practical Application and Storytelling: Apply learned concepts through hands-on exercises, creating compelling data stories that communicate insights effectivel
Requirements
To enroll in this Tableau course, participants should have basic computer skills and a foundational understanding of data concepts. Access to Tableau Desktop or Tableau Public is necessary for practical exercises. An analytical mindset and curiosity about data visualization will enhance the learning experience, enabling participants to effectively explore and communicate insights through data storytelling.
Description
In the "Data Visualization Using Tableau" course, you'll embark on a comprehensive journey to master one of the leading tools for data visualization. This course is designed for individuals who want to transform complex data into insightful and engaging visual stories. Starting with the basics, you'll learn how to navigate Tableau's interface and utilize its powerful features to create a variety of visualizations, including charts, graphs, and maps. The curriculum covers essential topics such as data connection, preparation, and cleaning, ensuring you can work with diverse datasets effectively.You'll delve into the principles of effective dashboard design, creating interactive dashboards that allow users to explore data dynamically. Advanced analytics techniques, such as calculated fields and forecasting, will empower you to derive deeper insights from your data.Through hands-on exercises and real-world projects, you'll develop the skills needed to communicate your findings clearly and effectively. By the end of this course, you'll be equipped to make data-driven decisions and present compelling narratives that influence your audience, making you a valuable asset in any data-driven organization. Join us to unlock the full potential of your data.Learn to create impactful data visualizations using Tableau for effective storytelling.IIBM Institute of Business Management
Overview
Section 1: Introduction
Lecture 1 Tableau- Introduction to Graphs
Section 2: Tableau-Geographic Location Mapping
Lecture 2 Tableau-Geographic Location Mapping
Section 3: Tableau-Bar Graph Line Graph and Filters
Lecture 3 Tableau-Bar Graph Line Graph and Filters
Section 4: Tableau-Different Types of Joins
Lecture 4 Tableau-Different Types of Joins
Section 5: Tableau Data Blending
Lecture 5 Tableau Data Blending
Section 6: Tableau Storyline Creation
Lecture 6 Tableau Storyline Creation
Section 7: Tableau Data Interpreters and Cleaning
Lecture 7 Tableau Data Interpreters and Cleaning
Section 8: Tableau Dashboard Concepts
Lecture 8 Tableau Dashboard Concepts
Section 9: Tableau Grouping and Highlighters
Lecture 9 Tableau Grouping and Highlighters
Section 10: Tableau Cluster Creation and Modelling
Lecture 10 Tableau Cluster Creation and Modelling
Section 11: Tableau Regression Analysis
Lecture 11 Tableau Regression Analysis
Section 12: Tableau Step Up, Tool Tip Analysis and Grouping
Lecture 12 Tableau Step Up, Tool Tip Analysis and Grouping
Section 13: Project- Attrition Analysis and Bank Loan Modelling
Lecture 13 Project- Attrition Analysis and Bank Loan Modelling
Lecture 0 Solution-HR Analytics-Attrition Analysis
Lecture 0 Bank Loan Modelling and Complete Revision
This course is for data analysts, business professionals, and beginners eager to enhance their data visualization skills in Tableau for effective decision-making and insights presentation.
Data Visualization Using Tableau By Iibm Institute
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.63 GB | Duration: 12h 46m
"Data Visualization Using Tableau : Data Visualization ,Tableau ,Dashboard, Data Analysis ,Interactive Reporting."[/center]
What you'll learn
Data Visualization Techniques: Learn to create and interpret various graph types, including bar and line graphs, for effective data representation.
Geographic Mapping and Data Integration: Utilize geographic location mapping and understand different join types and data blending for comprehensive analysis.
Dashboard Design and Interactivity: Develop interactive dashboards using grouping, highlighting, and tooltips to enhance data presentation.
Advanced Analytics: Implement clustering and regression analysis to uncover insights and relationships within the data.
Practical Application and Storytelling: Apply learned concepts through hands-on exercises, creating compelling data stories that communicate insights effectivel
Requirements
To enroll in this Tableau course, participants should have basic computer skills and a foundational understanding of data concepts. Access to Tableau Desktop or Tableau Public is necessary for practical exercises. An analytical mindset and curiosity about data visualization will enhance the learning experience, enabling participants to effectively explore and communicate insights through data storytelling.
Description
In the "Data Visualization Using Tableau" course, you'll embark on a comprehensive journey to master one of the leading tools for data visualization. This course is designed for individuals who want to transform complex data into insightful and engaging visual stories. Starting with the basics, you'll learn how to navigate Tableau's interface and utilize its powerful features to create a variety of visualizations, including charts, graphs, and maps. The curriculum covers essential topics such as data connection, preparation, and cleaning, ensuring you can work with diverse datasets effectively.You'll delve into the principles of effective dashboard design, creating interactive dashboards that allow users to explore data dynamically. Advanced analytics techniques, such as calculated fields and forecasting, will empower you to derive deeper insights from your data.Through hands-on exercises and real-world projects, you'll develop the skills needed to communicate your findings clearly and effectively. By the end of this course, you'll be equipped to make data-driven decisions and present compelling narratives that influence your audience, making you a valuable asset in any data-driven organization. Join us to unlock the full potential of your data.Learn to create impactful data visualizations using Tableau for effective storytelling.IIBM Institute of Business Management
Overview
Section 1: Introduction
Lecture 1 Tableau- Introduction to Graphs
Section 2: Tableau-Geographic Location Mapping
Lecture 2 Tableau-Geographic Location Mapping
Section 3: Tableau-Bar Graph Line Graph and Filters
Lecture 3 Tableau-Bar Graph Line Graph and Filters
Section 4: Tableau-Different Types of Joins
Lecture 4 Tableau-Different Types of Joins
Section 5: Tableau Data Blending
Lecture 5 Tableau Data Blending
Section 6: Tableau Storyline Creation
Lecture 6 Tableau Storyline Creation
Section 7: Tableau Data Interpreters and Cleaning
Lecture 7 Tableau Data Interpreters and Cleaning
Section 8: Tableau Dashboard Concepts
Lecture 8 Tableau Dashboard Concepts
Section 9: Tableau Grouping and Highlighters
Lecture 9 Tableau Grouping and Highlighters
Section 10: Tableau Cluster Creation and Modelling
Lecture 10 Tableau Cluster Creation and Modelling
Section 11: Tableau Regression Analysis
Lecture 11 Tableau Regression Analysis
Section 12: Tableau Step Up, Tool Tip Analysis and Grouping
Lecture 12 Tableau Step Up, Tool Tip Analysis and Grouping
Section 13: Project- Attrition Analysis and Bank Loan Modelling
Lecture 13 Project- Attrition Analysis and Bank Loan Modelling
Lecture 0 Solution-HR Analytics-Attrition Analysis
Lecture 0 Bank Loan Modelling and Complete Revision
This course is for data analysts, business professionals, and beginners eager to enhance their data visualization skills in Tableau for effective decision-making and insights presentation.
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