Advanced Tableau for Business Intelligence Data Analysis

Build expert-level Tableau skills with real-world business intelligence & data visualization projects (Tableau 2020.2+)
Advanced Tableau for Business Intelligence Data Analysis
File Size :
3.78 GB
Total length :
11h 5m

Category

Instructor

Maven Analytics

Language

Last update

3/2023

Ratings

4.6/5

Advanced Tableau for Business Intelligence Data Analysis

What you’ll learn

Build professional-quality reports, dashboards and custom visuals with Tableau Desktop
Master advanced tools like parameter actions, geospatial mapping, and predictive analytics
Learn the same advanced techniques used by business intelligence analysts and data scientists
Showcase your skills with unique course projects & assignments (with step-by-step solutions)
Learn from a best-selling instructor, featured author, and award-winning Tableau developer

Advanced Tableau for Business Intelligence Data Analysis

Requirements

We strongly recommend taking our Tableau for Beginners course before this one
This course is compatible with both Tableau Public (free) or Tableau Desktop (paid)
We’ll walk through the download & installation process (you do NOT need to have Tableau already installed)
Prior experience with analytics or BI platforms is helpful, but not required

Description

If you’re ready to build expert-level data analysis and visualization skills with Tableau Desktop, you’ve come to the right place.This course is a hands-on and project-based dive deep into several advanced Tableau topics, ranging from data relationships and calculations to predictive analytics and dynamic design techniques. As always, we’ll be applying these tools to real-world business intelligence use cases every step of the way.You’ll be playing the role of a newly hired analyst for Maven Roasters, a bespoke, small batch coffee roasting company. Your mission? Use advanced analytics and visual design tools to take the company’s business intelligence reports to the next level.We’ll kick things off by digging into relationships and the Tableau Desktop data model, exploring topics like logical vs. physical layers, contextual joins, smart aggregation, and performance optimization.From there we’ll introduce a range of powerful visualization and design tools, including custom templates, dynamic formats, animations, parameter & set actions, and geospatial mapping.Last but not least, we’ll cover advanced calculations like RegEx and custom LOD expressions, along with powerful predictive analytics tools like regression, forecasting, clustering, and more.COURSE OUTLINE:Tableau RelationshipsLogical & physical layers, contextual joins, smart aggregation, etc.Dynamic DesignCustom templates, KPI shapes, dynamic formatting, filter menus, etc.Parameter & Set ActionsInteractivity, relative dimensional analysis, animation, color scaling, etc.Geospatial MappingSpatial functions, custom territories, hierarchies, background maps, etc.Advanced CalculationsRegEx, advanced table calcs, LOD functions, cohort analysis, etc.Predictive AnalyticsRegression models, forecasting, clustering, R & Python integration, etc.Throughout the course, you’ll come across unique opportunities to put your new Tableau skills to the test, like analyzing employee earnings for the Boston Police Department, building forecast models for the World Health Organization, and designing geospatial dashboards to help FEMA identify environmental risks.Whether you’re an aspiring business intelligence analyst or data scientist, or just looking to take your Tableau skills to the next level, this is the course for you!__________Join today and get immediate, lifetime access to the following:11+ hours of high-quality videoAdvanced Tableau Desktop ebookDownloadable Tableau project files & solutionsHomework assignments & quizzesCourse Q&A forum30-day money-back guaranteeSee you in the course!-Dustin (Featured Tableau Author & Lead Tableau Instructor, Maven Analytics)__________Looking for the full business intelligence stack? Search for “Maven Analytics” to browse our full course library, including Excel, Power BI, MySQL, and Tableau courses!See why Maven Analytics courses are among the TOP-RATED the BEST-SELLING analytics courses on Udemy:”Some of the BEST courses I’ve ever taken. I’ve studied several programming languages, Excel, VBA and web dev, and Maven is among the very best I’ve seen!” Russ C.”This is my fourth course from Maven Analytics and my fourth 5-star review, so I’m running out of things to say. I wish Maven was in my life earlier!” Tatsiana M.”Excellent from start to finish. I picked up a bunch of techniques that will be useful in the workplace, from new chart templates to some very cool advanced visualizations. I loved all of it!” Robert C.”Maven Analytics should become the new standard for all courses taught on Udemy!” Jonah M.

Overview

Section 1: Getting Started

Lecture 1 Course Structure & Outline

Lecture 2 READ ME: Important Notes for New Students

Lecture 3 DOWNLOAD: Course Resources

Lecture 4 Introducing The Course Project

Lecture 5 Setting Expectations

Section 2: Relationships

Lecture 6 Intro to Relationships

Lecture 7 Logical and Physical Layers

Lecture 8 Relationships vs. Joins

Lecture 9 Requirements for Relationships

Lecture 10 Creating Relationships

Lecture 11 Optimizing Performance

Lecture 12 Interface Differences (2020.2)

Lecture 13 The 8 R’s of Relationships

Lecture 14 Contextual Joins | Remain

Lecture 15 Contextual Joins | Relevant

Lecture 16 Contextual Joins | Retain

Lecture 17 Contextual Joins | Recovered

Lecture 18 Contextual Joins | Represented

Lecture 19 Contextual Joins | Removed

Lecture 20 Smart Aggregation

Lecture 21 Smart Aggregation | Replicate

Lecture 22 Smart Aggregation | Resolve

Lecture 23 ASSIGNMENT: Relationships

Lecture 24 ASSIGNMENT: Relationships Instructions

Lecture 25 SOLUTION: Relationships

Section 3: Dynamic Design

Lecture 26 Intro to Dynamic Design

Lecture 27 Visual Appeal

Lecture 28 Background Templates

Lecture 29 KPI Shapes

Lecture 30 Info Icons

Lecture 31 Instructions & Commentary

Lecture 32 Flexibility

Lecture 33 Multi-Dimensions

Lecture 34 Multi-Measures

Lecture 35 PRO TIP: Dynamic Formatting

Lecture 36 Sheet Selectors

Lecture 37 Filter Menus

Section 4: Parameter & Set Actions

Lecture 38 Interactivity

Lecture 39 Parameter Actions

Lecture 40 Parameter Actions | Multi-Measure

Lecture 41 Parameter Actions | Index Chart

Lecture 42 Parameter Actions | Year-Over-Year

Lecture 43 Parameter Actions | Sheet Selector

Lecture 44 Parameter Actions | Relative Dimensional Analysis

Lecture 45 Set Actions

Lecture 46 Set Actions | Proportional Brushing

Lecture 47 Set Actions | Asymmetric Drilldown

Lecture 48 Set Actions | Color Scaling

Lecture 49 PRO TIP: Viz Animations

Lecture 50 ASSIGNMENT: Dynamic Design & Actions

Lecture 51 ASSIGNMENT: Dynamic Design & Actions Instructions

Lecture 52 SOLUTION: Dynamic Design & Actions

Section 5: Geospatial Mapping

Lecture 53 Intro to Geospatial Mapping

Lecture 54 Geospatial Data

Lecture 55 The Mapping Workspace

Lecture 56 Geospatial Use Cases

Lecture 57 Standard Maps

Lecture 58 Spatial Functions

Lecture 59 Custom Territories

Lecture 60 Map Hierarchies

Lecture 61 Geospatial Customization

Lecture 62 Map Layers

Lecture 63 Background Maps | WMS

Lecture 64 Background Maps | Mapbox

Lecture 65 Background Images

Lecture 66 Common Mapping Issues

Lecture 67 ASSIGNMENT: Geospatial Mapping

Lecture 68 ASSIGNMENT: Geospatial Mapping Instructions

Lecture 69 SOLUTION: Geospatial Mapping

Section 6: Advanced Calculations

Lecture 70 Intro to Advanced Calculations

Lecture 71 Regular Expressions

Lecture 72 Regular Expression Functions

Lecture 73 REVIEW: Table Calculations

Lecture 74 REVIEW: Addressing & Partitioning

Lecture 75 Position-Based Table Calculations Functions

Lecture 76 PRO TIP: Index Top Filter

Lecture 77 REVIEW: Level of Detail Expressions

Lecture 78 Choosing an LOD Type

Lecture 79 LOD Use Case | Benchmarking & Time Flags

Lecture 80 LOD Use Case | Customer Order Frequency

Lecture 81 LOD Use Case | Cohort Analysis

Lecture 82 LOD Use Case | New Customer Acquisition

Lecture 83 ASSIGNMENT: Advanced Calculations

Lecture 84 ASSIGNMENT: Advanced Calculations Instructions

Lecture 85 SOLUTION: Advanced Calculations

Section 7: Predictive Analytics

Lecture 86 Intro to Predictive Analytics

Lecture 87 Regression Models

Lecture 88 Trend Lines

Lecture 89 Forecasting

Lecture 90 Control Charts

Lecture 91 Clustering

Lecture 92 R & Python Integration

Lecture 93 Dashboard Extensions

Lecture 94 ASSIGNMENT: Predictive Analytics

Lecture 95 ASSIGNMENT: Predictive Analytics Instructions

Lecture 96 SOLUTION: Predictive Analytics

Section 8: Wrapping Up

Lecture 97 BONUS LESSON

Tableau Desktop users who want to develop expert-level skills,BI or data science professionals looking to solve complex cases or advanced analyses,Aspiring data professionals seeking to master one of the world’s most popular BI tools,Anyone looking to launch a career in analytics, data science or business intelligence,Students who want a comprehensive, engaging, and highly interactive approach to training

Course Information:

Udemy | English | 11h 5m | 3.78 GB
Created by: Maven Analytics

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