Udemy - Tableau - Basics to Advanced

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size8.2 GB
  • Uploaded Bytutsnode
  • Downloads145
  • Last checkedMar. 24th '21
  • Date uploadedMar. 22nd '21
  • Seeders 24
  • Leechers19
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Description

Learn data visualization through Tableau 2020 and create opportunities for you or key decision-makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks, comparative sales, and many more.

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 and data sources.

Analyze, Blend, Join, and Calculate Data, Cross-database joins
Visualize Data in the Form of Various Charts, Plots, and Maps
Convert Raw Data Into Compelling Data Visualisations Using Tableau 2020
Detailed understanding of Level of details (LOD) with 15 practical examples
Detailed understanding of Table calculations with 10 business examples

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 time series.

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.

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.

Last but not the least, you will able to clear Tableau Specialist and Tableau Certified Associate certifications as well.
Who this course is for:

You should take this course if want to learn Tableau completely from scratch
You should take this course if you know some Tableau skills but want to get better
You should take this course if you are good with Tableau and want to take your skills to the next level and truly leverage the full potential of Tableau

Requirements

Basic knowledge of computers

Last Updated 2/2021

Files:

Tableau - Basics to Advanced [TutsNode.com] - Tableau - Basics to Advanced 7. Tableau - Business Case 6 (Filters, Aggregation, Granularity and Date Dimension)
  • 1. Tableau - Business Case 6 (Filters, Aggregation, Granularity and Date Dimension).mp4 (425.6 MB)
  • 1. Tableau - Business Case 6 (Filters, Aggregation, Granularity and Date Dimension).srt (69.5 KB)
6. Tableau - Business Case 5 (Bins and Parameters)
  • 1.1 Bank Customers.xlsx (226.8 KB)
  • 1. Tableau - Business Case 5(Bins and Parameters).mp4 (333.6 MB)
  • 1. Tableau - Business Case 5(Bins and Parameters).srt (49.3 KB)
  • 2. Donut and Dashboard Introduction.srt (41.9 KB)
  • 3. Dashboard and Story.srt (39.2 KB)
  • 1.2 Business Case 5.pdf (471.8 KB)
  • 2. Donut and Dashboard Introduction.mp4 (265.9 MB)
  • 3. Dashboard and Story.mp4 (253.6 MB)
12. Tableau - Table Calculations
  • 4.1 Tableau Desktop - Changes using TD.twbx (169.4 KB)
  • 3. Table Calculations - An Introduction.mp4 (421.9 MB)
  • 1.2 Table Calculation - Flow.tfl (4.5 KB)
  • 1.4 Business Problem 10.pdf (791.2 KB)
  • 1. Data Preparation - Part 1.mp4 (363.7 MB)
  • 1.3 Coal-Terminal.xlsx (92.0 KB)
  • 1.5 Raw data Coal-Terminal.xlsx (82.1 KB)
  • 3. Table Calculations - An Introduction.srt (59.8 KB)
  • 1.1 Output.csv (47.7 KB)
  • 2. Data Preparation - Part 2.srt (43.4 KB)
  • 1. Data Preparation - Part 1.srt (41.6 KB)
  • 2. Data Preparation - Part 2.mp4 (286.3 MB)
  • 4. Table Calculations - Part 2.srt (30.5 KB)
  • 4. Table Calculations - Part 2.mp4 (247.3 MB)
5. Tableau - Business Case 4 (Data Blending)
  • 1. Tableau - Business Case 4 (Data Blending).srt (41.9 KB)
  • 1.1 AwesomeMartEU2.xlsx (636.0 KB)
  • 1. Tableau - Business Case 4 (Data Blending).mp4 (298.7 MB)
  • 1.2 Business Case 4.pdf (450.0 KB)
9. Tableau - Business Case 8 (Animations in Tableau)
  • 1.4 Country-Metadata.xls (63.5 KB)
  • 1.2 Life-Expectancy-At-Birth.xls (224.5 KB)
  • 1.3 Fertility-Rate.xls (223.0 KB)
  • 2.1 Business Case 8 - Animation.zip (783.4 KB)
  • 1.1 Country-Population.xls (109.0 KB)
  • 1. Tableau - Business Case 8 (Animation in Tableau - Part 1).mp4 (311.7 MB)
  • 1. Tableau - Business Case 8 (Animation in Tableau - Part 1).srt (44.2 KB)
  • 2. Tableau - Animation Part 2.srt (22.8 KB)
  • 1.5 Process Data.tfl (8.7 KB)
  • 2. Tableau - Animation Part 2.mp4 (114.3 MB)
3. Tableau - Business Case 2 (Extract vs Live and Union)
  • 1. Tableau - Business Case 2 (Extract vs Live and Union).mp4 (396.0 MB)
  • 1. Tableau - Business Case 2 (Extract vs Live and Union).srt (50.1 KB)
  • 1.1 Business Case 2.zip (4.4 MB)
8. Tableau - Business Case 7 (Sets and Parameters)
  • 1. Tableau - Business Case 7 (Sets and Parameters - Part 1).srt (54.9 KB)
  • 1. Tableau - Business Case 7 (Sets and Parameters - Part 1).mp4 (353.2 MB)
  • 2. Tableau - Business Case 7 (Sets and Parameters - Part 2).srt (34.5 KB)
  • 2. Tableau - Business Case 7 (Sets and Parameters - Part 2).mp4 (279.4 MB)
  • 2.1 Tableau - Sets and Parameters.twbx (2.3 MB)
  • 1.1 Competitors data.xlsx (2.3 MB)
2. Tableau - Business Case 1 (Calculated Field and Functions (Left, if else))
  • 1. Calculated Field and Functions (Left, if else).mp4 (358.8 MB)
  • 1. Calculated Field and Functions (Left, if else).srt (60.5 KB)
  • 1.1 Business Case - 1.zip (469.8 KB)
11. Tableau - Level of Details - 15 Practical Examples
  • 12.1 User login frequency.csv (139.5 KB)
  • 10.1 Percent difference from average across a range.csv (12.5 KB)
  • 7.1 Actual vs Target.csv (118.1 KB)
  • 8.1 Value on the last day.csv (57.5 KB)
  • 10. 10. Percent difference from average across a range.srt (36.8 KB)
  • 14. 14. Annual purchase frequency by customer cohort.srt (24.1 KB)
  • 5. 05. New Customer Acquisition.srt (32.0 KB)
  • 11. 11. Relative period filtering.srt (30.1 KB)
  • 7. 07. Actual vs Target.srt (28.4 KB)
  • 6. 06. Average of Top deals by City.srt (25.5 KB)
  • 12. 12. User login frequency.srt (25.4 KB)
  • 13. 13. Proportional Brushing.srt (23.0 KB)
  • 15. 15. Comparative sales analysis.srt (22.4 KB)
  • 8. 08. Value on the last day of a period.srt (22.1 KB)
  • 9. 09. Return purchase by cohort.srt (19.7 KB)
  • 10. 10. Percent difference from average across a range.mp4 (277.2 MB)
  • 2. 02. Cohort Analysis.srt (11.7 KB)
  • 3. 03. Daily Profit KPI.srt (10.1 KB)
  • 4. 04. Percentage of Total.srt (9.6 KB)
  • 1. 01. Customer Order Frequency.srt (9.4 KB)
  • 5. 05. New Customer Acquisition.mp4 (231.4 MB)
  • 6. 06. Average of Top deals by City.mp4 (216.2 MB)
  • 11. 11. Relative period filtering.mp4 (210.0 MB)
  • 7. 07. Actual vs Target.mp4 (205.5 MB)
  • 14. 14. Annual purchase frequency by customer cohort.mp4 (192.2 MB)
  • 12. 12. User login frequency.mp4 (177.9 MB)
  • 13. 13. Proportional Brushing.mp4 (172.0 MB)
  • 8. 08. Value on the last day of a period.mp4 (163.4 MB)
  • 9. 09. Return purchase by cohort.mp4 (161.3 MB)
  • 15. 15. Comparative sales analysis.mp4 (121.3 MB)
  • 2. 02. Cohort Analysis.mp4 (78.8 MB)
  • 3. 03. Daily Profit KPI.mp4 (67.2 MB)
  • 4. 04. Percentage of Total.mp4 (58.4 MB)
  • 1. 01. Customer Order Frequency.mp4 (58.3 MB)
  • 6.1 Average of top deals.csv (15.5 MB)
  • 9.1 Return to Purchase cohort.csv (11.5 MB)
  • 14.1 Annual purchase frequency by customer cohort.csv (3.9 MB)
  • 11.1 Relative Period Filtering.csv (3.7 MB)
  • 15.1 Sample - Superstore.xls (3.2 MB)
  • 13.1 Proportional Brushing.csv (2.5 MB)
  • 5.1 New Customer Acquisition.csv (2.2 MB)
  • 4.1 Percent of total.csv (2.2 MB)
  • 3.1 Dail Profit KPI.csv (2.1 MB)
  • 1.1 Customer_Order_Frequency.csv (2.1 MB)
  • 2.1 Cohort_Analysis.csv (1.1 MB)
4. Tableau - Business Case 3 (Data from heterogeneous source - Cross

Code:

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