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Mastery Tableau: Visualization & Azure Integration(Nov 2024)

Posted By: ELK1nG
Mastery Tableau: Visualization & Azure Integration(Nov 2024)

Mastery Tableau: Visualization & Azure Integration(Nov 2024)
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 860.31 MB | Duration: 2h 18m

Transforming Insights with Visual Analytics and Cloud Connectivity

What you'll learn

Gain a comprehensive understanding of Tableau's core concepts and fundamentals

Learn essential data manipulation techniques to ensure accurate and efficient visual analysis.

Learn Calculations and Advanced Analytical Techniques

Explore various visualization types (charts, graphs, maps, tables) and learn how to customize them

Explore how to publish and share Dashboards using Tableau Public

Understand how to Integrate Tableau with Cloud Platforms for Data Analysis.

Requirements

Basic Understanding of Data

Fundamental Excel Skills

Interest in Data Analysis

Curiosity and Enthusiasm

Description

This comprehensive Tableau course covers essential skills for creating impactful data visualizations and analyzing data effectively. You will learn Tableau's core concepts, including data preparation, transforming data with Tableau Prep, and applying advanced calculations such as LOD expressions. Explore various visualization types like charts, maps, and graphs, and master interactivity with filters, parameters, and drill-through actions. Gain hands-on experience in publishing and sharing dashboards on Tableau Public. The course also covers integrating Tableau with cloud platforms, enabling real-time data access and collaboration. By the end, you'll be equipped to create, publish, and share dynamic, interactive dashboards for data-driven insights.Whether you're a beginner or looking to refine your expertise, this course offers a deep dive into Tableau's core functionalities, ensuring you master the art of transforming raw data into actionable insights.The journey begins with an introduction to Tableau’s powerful tools, focusing on data preparation and transformation using Tableau Prep. You’ll learn how to clean, structure, and optimize your data to ensure accuracy and efficiency in your analysis. Moving forward, the course delves into creating various visualizations, including bar charts, line charts, scatter plots, heat maps, and geospatial maps. Each type of visualization is explored in detail, emphasizing its use cases and customization options to convey information effectively.One of the highlights of this course is mastering advanced Tableau features such as calculated fields, table calculations, and Level of Detail (LOD) expressions. These techniques enable users to perform complex data manipulations and derive insights beyond surface-level analysis. Additionally, you'll learn to enhance dashboard interactivity through the use of filters, parameters, hierarchies, and drill-through actions, empowering you to build intuitive and user-friendly dashboards.The course also focuses on the practical aspects of data sharing and collaboration. You’ll gain hands-on experience publishing your work on Tableau Public, allowing for seamless sharing of dashboards with a wider audience. Furthermore, the curriculum includes a segment on integrating Tableau with cloud platforms such as Azure and AWS. This integration enables real-time data access, ensuring that your visualizations and analyses stay updated with the latest information.By the end of the course, you’ll be proficient in creating, publishing, and sharing dynamic dashboards tailored to specific business needs. With these skills, you’ll be ready to present data-driven stories that facilitate informed decision-making. Whether you’re looking to enhance your career in business intelligence, analytics, or data visualization, this Tableau course provides a solid foundation to achieve your goals and excel in a data-driven world.

Overview

Section 1: Lesson 1:Introduction to Tableau

Lecture 1 Lesson 1:Introduction to Tableau

Lecture 2 Practice 1-1: Installing Tableau Desktop

Lecture 3 Practice 1-2: Connect Tableau to various data sources and import data

Section 2: Lesson 2: Data Preparation and Transformation

Lecture 4 Lesson 2: Data Preparation and Transformation

Lecture 5 Practice 2-1: Clean and transform Text Functions using Tableau Prep

Lecture 6 Practice 2-2-1: Clean and transform Number Functions using Tableau Prep

Lecture 7 Practice 2-2-2: Clean and transform Date Functions using Tableau Prep

Lecture 8 Practice 2-3-1: Advanced Data Preparation and Cleaning Techniques - Pivoting

Lecture 9 Practice 2-3-2: Advanced Data Preparation and Cleaning Techniques -Joins & Union

Lecture 10 Practice 2-3-3: Advanced Data Preparation and Cleaning Techniques - Aggregation

Lecture 11 Practice 2-3-4: Advanced Data Preparation and Cleaning Techniques - Filtering

Lecture 12 Practice 2-3-5: Advanced Data Preparation and Cleaning Techniques - Output

Section 3: Lesson 3: Calculations in Tableau

Lecture 13 Lesson 3: Calculations in Tableau

Lecture 14 Practice 3-1-1: Working with Calculated Fields in Tableau

Lecture 15 Practice 3-1-2: Working with Table Calculations in Tableau

Lecture 16 Practice 3-2-1: LOD Expressions in Tableau

Lecture 17 Practice 3-2-2: Combining LODs and Table Calculation in Tableau

Section 4: Lesson 4: Creating Visualizations

Lecture 18 Lesson 4: Creating Visualizations

Lecture 19 Practice 4-1: Create basic visualizations like charts and maps

Lecture 20 Practice 4-2-1: Use filters for interaction

Lecture 21 Practice 4-2-2: Use parameters for interaction

Lecture 22 Practice 4-3-1: Use of Hierarchy in Tableau

Lecture 23 Practice 4-3-2: Use of Drill through in Tableau

Section 5: Lesson 5:Tableau Public and Sharing

Lecture 24 Lesson 5:Tableau Public and Sharing

Lecture 25 Practice 5-1: Create a dashboard, Publish a dashboard to Tableau Public

Section 6: Lesson 6: Tableau Integration with Cloud Services(AZURE)

Lecture 26 Lesson 6: Tableau Integration with Cloud Services

Lecture 27 Practice 6-1: Connect Tableau to cloud data source & create a realtime dashboard

Business Analysts,Data Analysts,Data Scientists,IT Professionals