Udemyintermediateen

Tableau Visualization

Data visualization course: Transform data into impactful visuals & interactive dashboards. Learn to meet specific reporting needs.

5.0(6)
120students
11h 32m
Certificate
Raghvan Bhattacharya
Raghvan BhattacharyaBooster

Course Content

Tableau Visualization is an intermediate-level Udemy course taught by Raghvan Bhattacharya. It runs 11h 32m, is taught in English, and includes a certificate of completion. Learners rate it 5.0 out of 5 from 6 reviews, with 120 students enrolled. It is a paid course, last updated November 2024.

This course is for individuals with a basic understanding of Tableau who want to master data visualization and create impactful visuals from specific data requirements. Tableau is a leading data visualization tool and a powerful platform for data analysis and business intelligence. Recognized as a leader in analytics by Gartner's Magic Quadrant, Tableau empowers users to unlock insights from their data.

Why Choose Tableau?

  • Data Visualization: Transform raw data into compelling and easily understandable visuals.
  • Interactive Visualizations: Quickly create interactive visualizations to explore data in detail.
  • Ease of Implementation: A user-friendly interface makes Tableau accessible to users of all skill levels.
  • Large Data Handling: Tableau can efficiently handle large amounts of data without performance issues.
  • Scripting Capabilities: Leverage other scripting languages within Tableau for advanced analysis.
  • Mobile Support: Access and share dashboards on the go with mobile support and responsive dashboards.
  • Tableau Company Strategy: Understand the future direction of this industry-leading platform.
  • Report Scheduling & Notifications: Automate report delivery with scheduling and notification features.

Common Excel Challenges – Time to Upgrade!

Are you frustrated with Excel? You're not alone! Many users face these common Excel problems:

  • Slow Performance: Excel becomes slow or crashes with large datasets, formatting, and charts.
  • File Management Issues: The risk of accidentally working on the wrong saved file.
  • Emailing Multiple Files: The tedious task of emailing multiple Excel files to the same recipients daily.
  • Dashboard Creation Time: Spending hours building dashboards with multiple charts and complex formulas.
  • Data Storage Concerns: Using Excel for storing large amounts of data, leading to difficulties in updating and maintaining the file. Updating Excel files with large datasets is time-consuming and prone to errors.

Note: Excel remains a valuable tool for data visualization and analysis, but Tableau offers significant advantages for more complex data projects.

Course Outline:

Section 1: Introduction

  • Lecture 1: The Importance of Visualisation (Preview Enabled)
  • Lecture 2: Downloading Data Sets
  • Lecture 3: Downloading Tableau (Preview Enabled)
  • Lecture 4: Installing Tableau (Preview Enabled)

Section 2: Visualizations - Part 1

  • Lecture 5: Viz1 (Preview Enabled)
  • Lecture 6: Viz2
  • Lecture 7: Viz3
  • Lecture 8: Viz4
  • Lecture 9: Viz5
  • Lecture 10: Viz6
  • Lecture 11: Viz7

Section 3: Visualizations - Part 2

  • Lecture 12: Viz8 (Preview Enabled)
  • Lecture 13: Viz9
  • Lecture 14: Viz10

Section 4: Visualizations - Part 3

  • Lecture 15: Viz11
  • Lecture 16: Viz12
  • Lecture 17: Viz13
  • Lecture 18: Viz14
  • Lecture 19: Viz15

Section 5: Visualizations - Part 4

  • Lecture 20: Viz16
  • Lecture 21: Viz17
  • Lecture 22: Viz18
  • Lecture 23: Viz19
  • Lecture 24: Viz20

Section 6: Visualizations - Part 5

  • Lecture 25: Viz21
  • Lecture 26: Viz22
  • Lecture 27: Viz23
  • Lecture 28: Viz24
  • Lecture 29: Viz25
  • Lecture 30: Viz26

Section 7: Viz Part 6

  • Lecture 31: Viz27
  • Lecture 32: Viz28
  • Lecture 33: Viz29
  • Lecture 34: Viz30
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