TABLEAU 2018: Hands-On Tableau Training For Data Science!

Kirill Eremenko, Data Scientist

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70 Lessons (8h 4m)
    • 1. Promo

      1:40
    • 2. Welcome! What is Tableau & Course Overview

      8:28
    • 3. Installation

      4:06
    • 4. Exercise - Get Excited!

      5:01
    • 5. Section 2: The Business Challenge - Who Gets the Annual Bonus

      3:41
    • 6. Connecting Tableau to a Data file - CSV file

      6:05
    • 7. Navigating Tableau

      8:53
    • 8. Creating Calculated Fields

      6:25
    • 9. Adding Colors

      7:46
    • 10. Adding Labels and Formatting

      11:07
    • 11. Exporting your worksheet

      6:24
    • 12. Get The Viz

      1:11
    • 13. Section 3: Intro

      2:20
    • 14. Working with Data Extracts in Tableau

      8:06
    • 15. Working With Time Series

      9:41
    • 16. Understanding Aggregation, Granularity, and Level of Detail

      9:28
    • 17. Creating an Area Chart and Learning about Highlighting

      8:53
    • 18. Adding a Filter and Quick Filter

      8:56
    • 19. Section 4: Intro

      1:19
    • 20. Joining Data in Tableau

      10:00
    • 21. Creating a Map, Working with Hierarchies

      11:08
    • 22. Creating a Scatter Plot, Applying Filters to Multiple Worksheets

      10:23
    • 23. Let s Create our First Dashboard!

      7:24
    • 24. Adding an Interactive Action - Filter

      8:28
    • 25. Adding an Interactive Action - Highlighting

      9:32
    • 26. Section 5: Intro

      4:31
    • 27. Understanding how Left, Right, Inner, And Outer Joins Work

      6:25
    • 28. Joins With Duplicate Values

      2:39
    • 29. Joining on Multiple Fields

      5:30
    • 30. Data Blending in Tableau

      15:23
    • 31. The Showdown: Joining Data v.s. Blending Data in Tableau

      10:55
    • 32. Dual Axis Chart

      12:15
    • 33. Creating Calculated Fields in a Blend (Advanced Topic)

      13:12
    • 34. Section Recap

      7:09
    • 35. Section 6: Intro

      1:01
    • 36. Downloading The Dataset And Connecting Tableau

      4:01
    • 37. Mapping: How To Set Geographical Roles

      6:36
    • 38. Creating Table Calculations for Gender

      5:09
    • 39. Creating Bins and Distributions for Age

      6:37
    • 40. Leveraging the Power of Parameters

      7:46
    • 41. How to Create a Tree Map Chart

      2:19
    • 42. Creating a Customer Segmentation Dashboard

      6:09
    • 43. Advanced Dashboard Interactivity

      4:20
    • 44. Analyzing The Customer Segmentation Dashboard

      10:57
    • 45. Creating a Storyline

      12:39
    • 46. Section 7: Intro

      2:14
    • 47. T20What Format Your Data Should be in

      5:15
    • 48. Data Interpreter

      11:26
    • 49. Pivot

      2:46
    • 50. Splitting a Column Into Multiple Columns

      3:20
    • 51. Metadata Grid

      6:58
    • 52. Fixing Geographical Data Errors In Tableau

      7:23
    • 53. The Challenge: Startup Expansion Analytics

      8:10
    • 54. Custom Territories via Groups

      9:15
    • 55. Custom Territories via Geographic Roles

      4:31
    • 56. Adding a Highlighter

      5:46
    • 57. Clustering in Tableau

      7:08
    • 58. Cross Database Joins

      8:21
    • 59. Modeling With Clusters

      11:55
    • 60. Saving Your Clusters

      3:32
    • 61. Design Features

      3:57
    • 62. Section 9: Intro and First Challenge

      2:50
    • 63. Data from PDF files

      4:20
    • 64. Connecting to PDF

      9:28
    • 65. Connecting to Spatial Files

      7:04
    • 66. Joining to spatial files (and data integrity)

      9:07
    • 67. Putting it all together

      6:07
    • 68. Step and Jump line chart

      7:28
    • 69. Viz in Tooltip

      8:30
    • 70. Section Recap

      4:54
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About This Class

Learn data visualisation through Tableau 2018 and create opportunities for you or key decision makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.

You'll learn all of the features in Tableau that allow you to explore, experiment with, fix, prepare, and present data easily, quickly, and beautifully.

Use Tableau to Analyze and Visualize Data So You Can Respond Accordingly

  • Connect Tableau to a Variety of Datasets

  • Analyze, Blend, Join, and Calculate Data

  • Visualize Data in the Form of Various Charts, Plots, and Maps

Convert Raw Data Into Compelling Data Visualisations Using Tableau 2018

Because every module of this course is independent, you can start in whatever section you wish, and you can do as much or as little as you like.

Each section provides a new data set and exercises that will challenge you so you can learn by immediately applying what you're learning.

Content is updated as new versions of Tableau are released. You can always return to the course to further hone your skills, while you stay ahead of the competition.

Contents and Overview

This course begins with Tableau basics. You will navigate the software, connect it to a data file, and export a worksheet, so even beginners will feel completely at ease.

To be able to find trends in your data and make accurate forecasts, you'll learn how to work with data extracts and timeseries.

Also, to make data easier to digest, you'll tackle how to use aggregations to summarize information. You will also use granularity to ensure accurate calculations.

In order to begin visualizing data, you'll cover how to create various charts, maps, scatterplots, and interactive dashboards for each of your projects.

You'll even learn when it's best to join or blend data in order to work with and present information from multiple sources.

Finally, you'll cover the latest and most advanced features of data preparation in Tableau 10, where you will create table calculations, treemap charts, and storylines.

By the time you complete this course, you'll be a highly proficient Tableau user. You will be using your skills as a data scientist to extract knowledge from data so you can analyze and visualize complex questions with ease.

You'll be fully prepared to collect, examine, and present data for any purpose, whether you're working with scientific data or you want to make forecasts about buying trends to increase profits.