
Certification In Tableau And Data Visualization
Published 9/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
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.
How data analysts apply and interpret their findings to improve dashboard effectiveness and user performance in workbook settings.
How data analysts address and present their findings to improve worksheet design, performance metrics, and overall dashboard effectiveness
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
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 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
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 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

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