TABLEAU 2018 ADVANCED: Master Tableau in Data Science
TABLEAU 2018 ADVANCED: Master Tableau in Data Science, available at $124.99, has an average rating of 4.65, with 74 lectures, 6 quizzes, based on 1176 reviews, and has 7023 subscribers.
You will learn about Create and use Groups Understand the difference between Groups and Sets Create and use Static Sets Create and use Dynamic Sets Combine Sets into more Sets Use Sets as filters Create Sets via Formulas Control Sets with Parameters Control Reference Lines with Parameters Use multiple fields in the colour property Create highly interactive Dashboards Develop an intrinsic understanding of how table calculations work Use Quick Table calculations Write your own Table calculations Combine multiple layers of Table Calculations Use Table Calculations as filters Use trendlines to interrogate data Perform Data Mining in Tableau Implement Advanced Mapping Techniques Understand Level Of Details This course is ideal for individuals who are This course is for anyone with solid beginner level skills in Tableau or This course is for anyone who wants to take their Tableau expertise to the next level It is particularly useful for This course is for anyone with solid beginner level skills in Tableau or This course is for anyone who wants to take their Tableau expertise to the next level.
Enroll now: TABLEAU 2018 ADVANCED: Master Tableau in Data Science
Summary
Title: TABLEAU 2018 ADVANCED: Master Tableau in Data Science
Price: $124.99
Average Rating: 4.65
Number of Lectures: 74
Number of Quizzes: 6
Number of Published Lectures: 72
Number of Published Quizzes: 6
Number of Curriculum Items: 80
Number of Published Curriculum Objects: 78
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Create and use Groups
- Understand the difference between Groups and Sets
- Create and use Static Sets
- Create and use Dynamic Sets
- Combine Sets into more Sets
- Use Sets as filters
- Create Sets via Formulas
- Control Sets with Parameters
- Control Reference Lines with Parameters
- Use multiple fields in the colour property
- Create highly interactive Dashboards
- Develop an intrinsic understanding of how table calculations work
- Use Quick Table calculations
- Write your own Table calculations
- Combine multiple layers of Table Calculations
- Use Table Calculations as filters
- Use trendlines to interrogate data
- Perform Data Mining in Tableau
- Implement Advanced Mapping Techniques
- Understand Level Of Details
Who Should Attend
- This course is for anyone with solid beginner level skills in Tableau
- This course is for anyone who wants to take their Tableau expertise to the next level
Target Audiences
- This course is for anyone with solid beginner level skills in Tableau
- This course is for anyone who wants to take their Tableau expertise to the next level
Ready to take your Tableau skills to the next level?
Want to truly impress your boss and the team at work?
This course is for you!
Hours of professional Tableau Video training, unique datasets designed with years of industry experience in mind, engaging exercises that are both fun and also give you a taste for Analytics of the REAL WORLD.
In this course you will learn:
- How to use Groups and Sets to increase your work efficiency 10x
- Everything about Table Calculations and how to use their power in your analysis
- How to perform Analytics and Data Mining in Tableau
- How to create Animations in Tableau
- And much, much more!
Each module is independent so you can start learning from wherever you see fit.The more you learn the better you will get. However, you can stop at any time you will still have a strong set of skills to take with you.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Welcome to the Tableau Advanced course
Lecture 2: EXTRA: Learning Paths
Lecture 3: Some Additional Resources!!
Lecture 4: Get the materials
Chapter 2: Groups and Sets
Lecture 1: Section Intro
Lecture 2: Updates on Udemy Reviews
Lecture 3: Project Brief: 1,000 Startups
Lecture 4: Working with Groups
Lecture 5: Creating Static Set
Lecture 6: Creating Dynamic Set
Lecture 7: Combining Sets
Lecture 8: Controlling Sets With Parameters
Lecture 9: Dashboard: The Startup Quadrant
Lecture 10: Dashboard Tricks
Lecture 11: Section Recap
Chapter 3: Advanced Table Calculations
Lecture 1: Section Intro
Lecture 2: Project Brief: Coal Terminal Utilisation Analysis
Lecture 3: Creating Multiple Joins in Tableau
Lecture 4: Calculated Fields vs Table Calculations
Lecture 5: Creating Advanced Table Calculations
Lecture 6: Saving a Quick Table Calculation
Lecture 7: Specifying Direction of Computation
Lecture 8: Writing your own Table Calculations
Lecture 9: Adding a Second Layer Moving Average
Lecture 10: Quality Assurance For Table Calculations
Lecture 11: Trendlines for Power-Insights
Lecture 12: Creating a Storyline
Lecture 13: Executive Report is Ready
Chapter 4: Advanced Data Prep + Analytics In Tableau
Lecture 1: Section Intro
Lecture 2: Project Brief: Retail Sector Forecasts
Lecture 3: Building Box Plots in Tableau
Lecture 4: Analysing Box Plots
Lecture 5: Working with Large Data Sources
Lecture 6: Pivot & Split
Lecture 7: What Does Real World Retail Look Like?
Lecture 8: Primary Use Case For Data Source Filters
Lecture 9: Trendlines
Lecture 10: Data Prep Exercise
Lecture 11: Advanced Timeseries BlendingData Prep Exercise
Lecture 12: Calculating Sales Per Capita
Lecture 13: Forecasting in Tableau
Lecture 14: How to Present a Storyline
Chapter 5: Creating Animations in Tableau
Lecture 1: Section Intro
Lecture 2: Project Brief: World Health Trends
Lecture 3: Editing Blending Relationships
Lecture 4: Building the Visualisation
Lecture 5: Adding Animation
Lecture 6: Manually Sorting Blended Data
Lecture 7: Leaving a Trail in your Animations
Lecture 8: Finalizing the Dashboard
Chapter 6: Level Of Detail Calculations (LOD)
Lecture 1: Project Brief: Regional Profit Analysis
Lecture 2: Preparing the workbook
Lecture 3: Aggregation and Granularity (refresher)
Lecture 4: LOD Calculations Intuition
Lecture 5: LOD Type 1: INCLUDE
Lecture 6: Understanding ATTR() in Tableau
Lecture 7: LOD Type 2: EXCLUDE (Part 1)
Lecture 8: LOD Type 2: EXCLUDE (Part 2)
Lecture 9: Multiple fields in an LOD Calculation
Lecture 10: LOD Type 3: FIXED
Lecture 11: Finalizing the Visualization
Chapter 7: Advanced Mapping Techniques
Lecture 1: Section Intro
Lecture 2: Getting into shape with Polygons
Lecture 3: Background maps
Lecture 4: Solving business challenge
Lecture 5: Drawing tool for Tableau
Lecture 6: Custom images on maps
Lecture 7: Distance calculations
Lecture 8: Customizing maps with Mapbox
Lecture 9: Section Recap
Lecture 10: THANK YOU video
Chapter 8: Congratulations!! Don't forget your Prize 🙂
Lecture 1: Bonus: How To UNLOCK Top Salaries (Live Training)
Instructors
-
Kirill Eremenko
DS & AI Instructor -
SuperDataScience Team
Helping Data Scientists Succeed -
Ligency Team
Helping Data Scientists Succeed
Rating Distribution
- 1 stars: 7 votes
- 2 stars: 11 votes
- 3 stars: 70 votes
- 4 stars: 322 votes
- 5 stars: 766 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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