HOT
blank

54 Days of Tableau Complete Masterclass

Development

54 Days of Tableau Complete Masterclass, available at $199.99, with 414 lectures.

You will learn about Learn how to solve Real-Life Business, Industry and World challenges using Tableau How and when to use different chart types such as Heatmaps, Bullet Graphs, Bar-in-bar charts, Dual Axis Charts and more! Tableau fundamentals – Discrete vs Continuous fields, Dimensions vs Measures, Aggregation and Granularity, etc How to Organize & Simplify your data in Tableau: Computed sort, Manual sort, Hierarchies, Groups vs Sets, Dynamic sets, Static sets, etc Analytics in Tableau: Reference Lines, Reference Bands, Trend Lines, Instant Analytics, Box Plots, Forecasting, etc How to do Data Prep in Tableau: Joins, Blends, Unions, Pivots, Wildcards, Merging Mismatched Fields, Using Calculations in Join clauses, etc Mapping techniques: Layering, Lasso, Radial Selection, Custom Territories, Dual Axis Maps Calculations: Arithmetic, String & Date Calculations, Logic Statements, Calculations with Parameters, Calculations in a Blend, etc When & How to use Table Calculations: Percent of Total, Rank, Running Total, Scope & Direction of Table Calculations and more! Level Of Detail (LOD) Expressions: FIXED, INCLUDE, EXCLUDE, The LOD Planning Technique, ATTR() function, Order of Operations & LODs and more! Dashboard Actions: Filter / Highlight / Parameter / Set Actions, Worksheet Actions, and more! Evaluate and improve poorly designed visualizations, simplifying dual-axis charts and other complex visual elements. Apply advanced table calculations and Level of Detail (LOD) expressions for complex data analysis. Perform cross-database joins and other advanced data connections to prepare comprehensive datasets. Solve technical questions related to expert-level Tableau functionalities, including top-end analysis and data blending. Create interactive dashboards that effectively deliver insights, incorporating multiple views and best practices. Build compelling data stories that clearly communicate insights, following exam guidelines. This course is ideal for individuals who are Take this course if you want to learn Tableau completely from scratch or Take this course if you want to Boost your Career by becoming Tableau Certified! or Take this course if you are an advanced user who wants to make sure there are ZERO Gaps in your Tableau knowledge or Take this course if you love Hands-On Challenges with Super-Exciting Datasets! (Uniquely curated for this course) or Data Analysts who want to master advanced Tableau techniques and achieve the Tableau Certified Professional certification. or Business Intelligence Professionals seeking to elevate their data visualization skills to a professional level. It is particularly useful for Take this course if you want to learn Tableau completely from scratch or Take this course if you want to Boost your Career by becoming Tableau Certified! or Take this course if you are an advanced user who wants to make sure there are ZERO Gaps in your Tableau knowledge or Take this course if you love Hands-On Challenges with Super-Exciting Datasets! (Uniquely curated for this course) or Data Analysts who want to master advanced Tableau techniques and achieve the Tableau Certified Professional certification. or Business Intelligence Professionals seeking to elevate their data visualization skills to a professional level.

Enroll now: 54 Days of Tableau Complete Masterclass

Summary

Title: 54 Days of Tableau Complete Masterclass

Price: $199.99

Number of Lectures: 414

Number of Published Lectures: 414

Number of Curriculum Items: 414

Number of Published Curriculum Objects: 414

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

  • Learn how to solve Real-Life Business, Industry and World challenges using Tableau
  • How and when to use different chart types such as Heatmaps, Bullet Graphs, Bar-in-bar charts, Dual Axis Charts and more!
  • Tableau fundamentals – Discrete vs Continuous fields, Dimensions vs Measures, Aggregation and Granularity, etc
  • How to Organize & Simplify your data in Tableau: Computed sort, Manual sort, Hierarchies, Groups vs Sets, Dynamic sets, Static sets, etc
  • Analytics in Tableau: Reference Lines, Reference Bands, Trend Lines, Instant Analytics, Box Plots, Forecasting, etc
  • How to do Data Prep in Tableau: Joins, Blends, Unions, Pivots, Wildcards, Merging Mismatched Fields, Using Calculations in Join clauses, etc
  • Mapping techniques: Layering, Lasso, Radial Selection, Custom Territories, Dual Axis Maps
  • Calculations: Arithmetic, String & Date Calculations, Logic Statements, Calculations with Parameters, Calculations in a Blend, etc
  • When & How to use Table Calculations: Percent of Total, Rank, Running Total, Scope & Direction of Table Calculations and more!
  • Level Of Detail (LOD) Expressions: FIXED, INCLUDE, EXCLUDE, The LOD Planning Technique, ATTR() function, Order of Operations & LODs and more!
  • Dashboard Actions: Filter / Highlight / Parameter / Set Actions, Worksheet Actions, and more!
  • Evaluate and improve poorly designed visualizations, simplifying dual-axis charts and other complex visual elements.
  • Apply advanced table calculations and Level of Detail (LOD) expressions for complex data analysis.
  • Perform cross-database joins and other advanced data connections to prepare comprehensive datasets.
  • Solve technical questions related to expert-level Tableau functionalities, including top-end analysis and data blending.
  • Create interactive dashboards that effectively deliver insights, incorporating multiple views and best practices.
  • Build compelling data stories that clearly communicate insights, following exam guidelines.

Who Should Attend

  • Take this course if you want to learn Tableau completely from scratch
  • Take this course if you want to Boost your Career by becoming Tableau Certified!
  • Take this course if you are an advanced user who wants to make sure there are ZERO Gaps in your Tableau knowledge
  • Take this course if you love Hands-On Challenges with Super-Exciting Datasets! (Uniquely curated for this course)
  • Data Analysts who want to master advanced Tableau techniques and achieve the Tableau Certified Professional certification.
  • Business Intelligence Professionals seeking to elevate their data visualization skills to a professional level.

Target Audiences

  • Take this course if you want to learn Tableau completely from scratch
  • Take this course if you want to Boost your Career by becoming Tableau Certified!
  • Take this course if you are an advanced user who wants to make sure there are ZERO Gaps in your Tableau knowledge
  • Take this course if you love Hands-On Challenges with Super-Exciting Datasets! (Uniquely curated for this course)
  • Data Analysts who want to master advanced Tableau techniques and achieve the Tableau Certified Professional certification.
  • Business Intelligence Professionals seeking to elevate their data visualization skills to a professional level.

Starting from scratch or building on existing skills? No matter the skill level, this course builds up your Tableau, visualization, and BI skills to the next level, and supports your growth with one-on-one mentorship with industry experts.

This program consists of two stages. First master every aspect of Tableau – charts, groups, sets, LOD expressions, advanced calculations, analytics, maps, dashboards, actions, data transformation techniques and more.

Skyrocket your Career by learning Tableau !

Tableau is, perhaps, the most powerful & popular tool for data visualization.

So… Do you want to become an expert in Tableau ?

You’ve come to the right place…

In this course you will learn everything you need to know to learn  Tableau from A to Z.

You don’t need to be an expert to learn the Tableau.

This course covers every single topic from the official exam preparation guide:

  • Tableau Fundamentals

  • Data Connections

  • Organizing & Simplifying Data

  • Field & Chart Types

  • Calculations

  • Mapping

  • Analytics

  • Dashboards

  • …and more!

Wait! There’s more! – EPIC Datasets!

This isn’t one of those boring courses with the same dataset that you’ve seen a Million times before.

NO.

Hands-On Experience is one of the most important things in Data Science / Business Intelligence / Data Analytics work.

In fact, often the Dataset is at least as important as the concept you are learning! Right?!

That’s why for this course we’ve specifically curated some of the most exciting datasets you will ever find!

Almost every section comes with a New Dataset & a New Challenge.

You will GET Hooked By this course!

Plus, the datasets come from some of the kick-butt companies! Check this out:

  • Spotify

  • The NBA

  • Rotten Tomatoes

  • Kaggle

  • WorldBank

  • Glassdoor

  • Airbnb

  • …and more!

Not enough awesomeness for you? Enough?

Doesn’t matter! There’s more anyway 🙂

With this course you will get TONS of Practice: dozens of mini-challenges, quizzes, homework exercises, exam tips, and additional resources.

Best. Tableau. Course. You. Will. Ever. Find. Boom!

Course Curriculum

Chapter 1: Week 1 – Day 1

Lecture 1: Welcome

Lecture 2: Installing Tableau

Lecture 3: Get The Dataset!

Lecture 4: Barchart

Lecture 5: Linechart

Lecture 6: Stacked Bar Chart

Lecture 7: Histograms

Lecture 8: Heatmaps

Chapter 2: Week 1 – Day 2

Lecture 1: Treemaps – Part 1

Lecture 2: Treemaps – Part 2

Lecture 3: Bullet Graph

Lecture 4: Combined Axis Chart – Part 1

Lecture 5: Combined Axis Chart – Part 2

Lecture 6: Dual Axis Chart

Chapter 3: Week 1 – Day 3

Lecture 1: Scatterplot – Part 1

Lecture 2: Scatterplot – Part 2

Lecture 3: Cross Tab

Lecture 4: Bar-in-bar Chart !

Lecture 5: Boxplots

Lecture 6: Using Mark Labels and Annotations

Lecture 7: Adding Titles Captions and Tooltips

Lecture 8: Editing Axes

Chapter 4: Week 1 – Day 4

Lecture 1: Week 1 – Day 4 – Dataset

Lecture 2: Get the Dataset

Lecture 3: How the NBA works (An Amateur's Explanation)

Lecture 4: Navigating Tableau

Lecture 5: Using "Show Me"

Lecture 6: Using Tableau-generated fields

Lecture 7: Discrete vs Continuous Fields | Slides

Lecture 8: Discrete vs Continuous Fields (Practical)

Chapter 5: Week 1 – Day 5

Lecture 1: Dimensions vs Measures | Slides

Lecture 2: Aggregation and Granularity (Part 1)

Lecture 3: Aggregation and Granularity (Part 2)

Lecture 4: Aggregation and Granularity (Part 3)

Lecture 5: The 4 Roles of Data fields | Slides

Lecture 6: Week 1 Homework Challenge

Lecture 7: Week 1 Homework Solution

Chapter 6: Week 2 Day 6

Lecture 1: Dimensions (Discrete & Continuous) – Advanced Tutorial

Lecture 2: Measures (Discrete & Continuous) – Advanced Tutorial

Lecture 3: Default Aggregation

Lecture 4: Aggregating Dimensions

Lecture 5: Data Types in Tableau | Slides

Lecture 6: Saving a Tableau Packaged Workbook *.twbx

Lecture 7: Section recap

Chapter 7: Week 2 – Day 7

Lecture 1: Get the Dataset & Challenge | Connect to the data here as well

Lecture 2: Date is (almost) Always a Dimension

Lecture 3: Discrete vs Continuous Date Fields

Lecture 4: Datepart vs Datetrunc | Slides

Lecture 5: Datepart vs Datetrunc (Practical)

Chapter 8: Week 2 – Day 8

Lecture 1: Discrete vs Continuous Date Fields (cont.) – Advanced Tutorial | Slides

Lecture 2: Datepart (Discrete & Continuous) – Advanced Tutorial

Lecture 3: Datetrunc (Discrete & Continuous) – Advanced Tutorial

Lecture 4: Can Date be a Measure?

Lecture 5: Section recap | PPT slides, quick

Chapter 9: Week 2 – Day 9

Lecture 1: Get the Dataset & Challenge

Lecture 2: Filter data – Dimension Filter

Lecture 3: Filter data – Date Filter

Lecture 4: Filter data – Measure Filter

Lecture 5: Filter data – Relevant Values

Lecture 6: Filter data – Top 10

Chapter 10: Week 2 – Day 10

Lecture 1: Filter data – Context Filter (Part 1)

Lecture 2: Filter data – Context Filter (Part 2)

Lecture 3: Filter data – Context Filter (Part 3)

Lecture 4: Filter data – Context Filter (Part 4)

Lecture 5: Filter data – Scope of Filter

Lecture 6: Add a Parameter – Filters

Lecture 7: Week 2 – Homework Challenge

Lecture 8: Week 2 – Homework Solution

Chapter 11: Week 3 – Day 11

Lecture 1: Get the Dataset & Challenge

Lecture 2: Sort data – Computed Sort

Lecture 3: Sort data – Manual Sort

Lecture 4: Build Hierarchies

Lecture 5: Build Groups – Visual Group

Lecture 6: Build Groups – Using Labels

Chapter 12: Week 3 – Day 12

Lecture 1: Week 3 – Homework Challenge

Lecture 2: Week 3 – Homework Solution

Chapter 13: Week 3 – Day 13

Lecture 1: Build Sets – Static

Lecture 2: Build Sets – Dynamic

Lecture 3: Groups vs Sets

Lecture 4: Build Sets – Combining Sets (Part 1)

Lecture 5: Build Sets – Combining Sets (Part 2)

Lecture 6: Build Sets – Parameter Control

Chapter 14: Week 3 – Day 14

Lecture 1: Get the Dataset & Challenge

Lecture 2: Reference Lines

Lecture 3: Reference Bands

Lecture 4: Reference Bands – Parameter Control (Part 1)

Instructors

Rating Distribution

  • 1 stars: 0 votes
  • 2 stars: 0 votes
  • 3 stars: 0 votes
  • 4 stars: 0 votes
  • 5 stars: 0 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!

You may also like

Top 10 Ethical AI Courses to Learn in November 2024

Top 10 Game Development Courses to Learn in November 2024

Top 10 Software Testing Courses to Learn in November 2024