Complete guide to Tableau and Data Visualization with data preparation, blending, dashboarding and analysis

What you'll learn

Explore the goals, overview, definition, and categories of data visualization. The stakeholders interested in data analytics anf visual analytics

Explore key concepts in data visualization, including the foundational principles and applications of data preparation, data lending, and dashboard creation.

Learn data visualization assessments, understanding various types of analysis (e.g., data preparation)

How data analysts apply and interpret their findings to improve dashboard effectiveness and user performance in workbook settings.

Explore data visualization assessments related to various dashboard scenarios, including evaluating current and historical data performance

How data analysts address and present their findings to improve worksheet design, performance metrics, and overall dashboard effectiveness

Discover how to gain knowledge in conducting data visualization assessments, understanding various evaluation techniques

Requirements

You should have an interest in the fundamentals of data visualization, including key concepts, analysis techniques, and their application in dashboard settings.

An interest in the key concepts of data visualization, including the stakeholders involved in dashboard analysis, the objectives of data evaluations, and foundational principles in data visualization practice.

Description

DescriptionTake the next step in your career! Whether you're an up-and-coming data analyst, an experienced dashboard designer, an aspiring data manager, or a budding data visualization expert, this course is an opportunity to sharpen your data visualization skills, increase your effectiveness in dashboard design, performance metrics, and user development, and make a positive and lasting impact in your organization.With this course as your guide, you learn how to:● All the fundamental functions and skills required for effective data visualization practice.● Transform Goals, Overview, Definition, and Categories of Data Visualization, Stakeholders Interested in Data Visualization, and Goals of Data Visualization.● Get access to recommended templates and formats for detailed data visualization and dashboard reporting.● Explore data visualization assessments, understanding various analysis techniques, and how to present findings effectively with useful templates and frameworks.● Invest in yourself today by enhancing your skills in data visualization, and reap the benefits for years to come.The Frameworks of the Course● Engaging video tutorials, case studies, analyses, downloadable resources, and interactive exercises. This course is designed to cover the Goals, Overview, Definition, and Categories of data visualization, the roles and responsibilities of key stakeholders in dashboard design, and foundational concepts in data preparation, performance metrics, and user engagement.● The core concepts of data visualization, including understanding data preparation (dashboard requirements), the performance metrics process, the presentation of dashboard roles and responsibilities, user engagement strategies, and methods for assessing dashboard effectiveness. Preparing and implementing strategies for performance metrics and user development, including techniques for evaluating and enhancing dashboard roles and organizational effectiveness.● The course includes multiple case studies, resources such as templates, formats, worksheets, reading materials, quizzes, self-assessments, and assignments to enhance and deepen your understanding of key data visualization concepts, including data preparation, performance metrics, user engagement, and dashboard behavior.In the first part of the course, you'll learn the details of the Goals, Overview, Definition, and Categories of data visualization, the roles and responsibilities of key stakeholders in dashboard design, and foundational principles in data preparation, performance metrics, and user engagement. Part 1 covers the basics of designing effective dashboard elements, enhancing user performance, and implementing performance metrics systems.In the middle part of the course, you'll develop knowledge of data preparation and dashboard design, understanding various roles and responsibilities within a dashboard, user performance metrics, methods for assessing dashboard effectiveness and user engagement, and techniques for implementing effective performance metrics systems. You'll also explore practical strategies for enhancing dashboard effectiveness and user development.In the final part of the course, you'll develop knowledge in implementing advanced data visualization practices, including designing effective performance metrics systems, developing strategies for user engagement and dashboard development, and understanding the limitations of performance metrics techniques. You will receive full support, and all your queries will be answered within 48 hours.Course Content:Part 1Introduction and Study Plan● Introduction and know your Instructor● Study Plan and Structure of the Course1. GETTING Your Data Ready2. The interface3. Sorting & Filtering4. Formatting5. Basic Calculations6. Popular Visualization Types7. Dashboard8. Publishing and Sharing9. Other Session and Next Step10. Use for Reporting Examples11. Use for Storytelling Examples12. Advanced Features - ExamplesAssignments

Overview

Section 1: Introduction

Lecture 1 Introduction and Study Plan

Lecture 2 Introduction to Tableau

Lecture 3 Getting Your Data Ready

Lecture 4 Getting Your Data Ready 2

Lecture 5 Step to Data Formatting

Lecture 6 Step to Data Formatting 2

Section 2: 2. The interface

Lecture 7 2. The interface

Lecture 8 The Interface 2

Lecture 9 The Interface 3

Lecture 10 The Interface 4

Lecture 11 The Interface 5

Lecture 12 The Interface 6

Lecture 13 The Interface 7

Lecture 14 The Interface 8

Lecture 15 Creating your first worksheet

Lecture 16 Outcome

Lecture 17 Automatic Views

Section 3: 3. Sorting & Filtering

Lecture 18 Sorting & Filtering

Lecture 19 Sorting & Filtering 2

Lecture 20 Filtering Data

Lecture 21 Apply Filters to Multiple Worksheets

Lecture 22 Enhancing Results with shorting & Filtering

Lecture 23 Outcome

Section 4: 4. Formatting

Lecture 24 Formatting

Lecture 25 Highlighters

Lecture 26 Highlighters Exercise

Lecture 27 Highlighters Exercise 2

Lecture 28 Outcome

Lecture 29 Formatting 2

Lecture 30 The Marks Card

Lecture 31 The Marks Card 2

Lecture 32 Working with Visualization Scatter Plots

Lecture 33 Duplicate as Crosstab

Section 5: 5. Basic Calculations

Lecture 34 Basic Calculations

Lecture 35 Aggregating Data

Lecture 36 Aggregating Data 2

Lecture 37 Granularity of Data

Lecture 38 Quick Table Calculations

Lecture 39 Calculated Fields

Lecture 40 Formulas Makeup Calculated Fields

Lecture 41 Function

Lecture 42 Creating a calculated Field

Lecture 43 Creating a calculated Field 2

Lecture 44 Outcome

Lecture 45 Basic Calculations

Lecture 46 Spotlighting a Report

Lecture 47 Outcome

Lecture 48 Exercise Tips

Lecture 49 Exercise Tips 2

Section 6: 6. Popular Visualization Types

Lecture 50 Bar Plot

Lecture 51 Bar Plot Exercise

Lecture 52 Outcome

Lecture 53 Heat Maps

Lecture 54 Heat Maps Exercise

Lecture 55 Outcome

Lecture 56 Scatter Plots

Lecture 57 Scatter Plots Exercise

Lecture 58 Scatter Plots Exercise Outcome

Lecture 59 Pie Chart

Lecture 60 Pie Chart Exercise

Lecture 61 Module Box Plot

Lecture 62 Module Box Plot Exercise

Lecture 63 Module Box Plot Exercise Outcome

Lecture 64 Tree Maps

Lecture 65 Tree Maps Exercise

Lecture 66 Tree Maps Exercise Outcome

Lecture 67 Area Charts

Lecture 68 Area Charts Exercise

Lecture 69 Area Charts Exercise Outcome

Lecture 70 Area Charts Exercise Outcome 2

Lecture 71 Area Charts Exercise Outcome 3

Section 7: 7. Dashboard

Lecture 72 Dashboard

Lecture 73 Adding Dashboard Objects

Lecture 74 Organizing Dashboards

Lecture 75 Organizing Dashboards 2

Lecture 76 Create Dashboard Exercise

Section 8: 8. Publishing and Sharing

Lecture 77 Publishing and Sharing

Section 9: 9. Other Session and Next Step

Lecture 78 Other Session and Next Step

Lecture 79 Tableau General Overview simple Example

Lecture 80 Tableau General Overview Calculated Fields

Lecture 81 Tableau General Overview Bringing it all Together

Section 10: 10. Use for Reporting Examples

Lecture 82 10. Use for Reporting Examples

Lecture 83 Tableau Reporting Example

Section 11: 11. Use for Storytelling Examples

Lecture 84 Use for Storytelling Examples

Lecture 85 Tableau - Storytelling Example (K-MAX)

Section 12: 12. Advanced Features - Examples

Lecture 86 Advanced Features - Examples

Lecture 87 Advanced Features - Examples 2

Lecture 88 Step to connect

Lecture 89 Advanced Features - Examples

Section 13: Assignments

Lecture 90 Assignments

Professionals with knowledge of data visualization assessments who want to see themselves well-established in the foundational principles and applications of data visualization.,New professionals who are looking to succeed in various data visualization methods and practices, applying them effectively in dashboard and organizational settings.,Existing executive board directors and managing directors who are looking to gain deeper insights into data visualization to enhance their teams' and organizations' approach to dashboard design, performance metrics, and user development.