The Complete Tableau Bootcamp

Complete Tableau Training: Learn How to Analyze Real-world Business Data

What you'll learn

The course provides the complete preparation you need to become a data analyst or Tableau developer

Acquire a holistic understanding: learn how to analyze data and draw meaningful business insights

Learn Tableau fundamentals

Be able to work with real-life data

Build the bridge between technical Tableau skills and real-life implementation

Master data visualization

Practice with real-world data

Boost your data analyst portfolio by completing four unique projects

Requirements

Basic SQL knowledge is necessary for one section of the course

No prior Tableau experience is required. We will start from the very basics

Description

The problemMost Tableau courses miss a critical step. They don’t teach you how to work with real-life data and how to draw meaningful business insights from it. This creates a sizeable gap between the skills you need on the job and the abilities you acquire in training. In the real world, data analysis is more than just handling numbers and charts; It is about understanding the business context and deriving insights that can drive decision-making. For an analyst to be truly effective, they need to be adept not only in using Tableau tools but also in interpreting and working with actual business data. This involves recognizing patterns, identifying trends, and understanding the underlying business processes and objectives.The solutionOur goal is to provide you with complete preparation. This course will turn you into a job-ready Tableau developer. To take you there, you will go through several practical case studies (from the same company) that will give you a 360-degree view of a real business.The topics we will cover- Intro to Tableau and client satisfaction analysis- How to retrieve data from SQL- Sign-up flow optimization analysis- Customer churn analysis- Customer behavior analysis- Analysis of growth dataEach of these subjects builds on the previous ones. And this is precisely what makes our curriculum so valuable. Everything is shown in the right order, and we guarantee that you are not going to get lost along the way.Why take the courseThe Complete Tableau Bootcamp offers you a rare opportunity to learn Tableau fundamentals and gradually acquire Tableau proficiency. At the end of the course, you will be able to walk into a job and be a rockstar from day one.In addition, you will learn how to think like an analyst. Many aspiring data analysts struggle to land a job because they have focused on the necessary technical tools but have not used these tools to analyse actual business data and draw insights from it. This course is different because it is jam-packed with practical examples and real-life case studies that involve understanding, querying, analysing, and visualizing actual business data.What you get· A program worth $1,000s of dollars· Active Q&A support· All the knowledge to become a data analyst· A community of aspiring data analysts· A certificate of completion· Access to frequent future updates· Real-world training and business case analysisGet ready to become a data analyst from scratch.Why wait? Every day is a missed opportunity.Click the “Buy Now” button and become a part of our complete Tableau bootcamp today.

Overview

Section 1: Introduction to Tableau

Lecture 1 Why use Tableau: Make your data make an impact

Lecture 2 Let's download Tableau Public

Lecture 3 Connecting data in Tableau

Lecture 4 Exploring Tableau's interface

Lecture 5 Let's create our first chart in Tableau!

Lecture 6 Duplicating a sheet

Lecture 7 Creating a table

Lecture 8 Creating custom fields

Lecture 9 Creating a custom field and adding calculations to a table

Lecture 10 Adding totals and subtotals

Lecture 11 Adding a custom calculation

Lecture 12 Inserting a filter

Lecture 13 Working with joins in Tableau

Section 2: Creating a Tableau Dashboard

Lecture 14 Introduction to the exercise

Lecture 15 Let's create a dashboard - Visualizing the three charts we want to create

Lecture 16 Using Joins in Tableau

Lecture 17 Performing a Numbers Check - Attempt #1

Lecture 18 Blending Data in Tableau

Lecture 19 Performing a Numbers Check - Attempt #2

Lecture 20 First chart

Lecture 21 Second chart

Lecture 22 Third Chart

Lecture 23 Creating and Formatting a Dashboard

Lecture 24 Adding Interactive Filters for Improved Analysis

Lecture 25 Interactive filters - fix

Section 3: Introduction To The Sign-Up Flow Optimization Analysis Case Study

Lecture 26 Motivation

Lecture 27 Understanding the 365's Sign-Up Process

Lecture 28 Basic Terminology

Lecture 29 Defining the Key Aspects of the Sign-Up Process

Lecture 30 Sketching the Story

Section 4: SQL: Data Retrieving

Lecture 31 Types of Data Access

Lecture 32 Getting to know the Database

Lecture 33 SQL Query 1: Sign-Up Conversion Rate

Lecture 34 SQL Query 2: Sign-Up Types and Errors - Part 1

Lecture 35 SQL Query 2: Sign-Up Types and Erros - Part 2

Lecture 36 SQL Query 3: Login Types and Errors - Homework

Section 5: Tableau: Dashboard Sheets And Creating The Story

Lecture 37 SQL and Tableau

Lecture 38 Sign-Up Conversion Rate

Lecture 39 Device and Operating System Distribution

Lecture 40 Preferred Devices Horizontal Bar Chart

Lecture 41 Preferred Operating System Horizontal Bar Chart

Lecture 42 Sign-Up Types and Errors Bar Chart

Lecture 43 Login Types and Errors Bar Charts - Homework

Lecture 44 Creating Dashboards: Getting Familiar with the Canvas

Lecture 45 Sign-Up Conversion Rates: Sheet Swapping with Parameters

Lecture 46 Sign-Up Conversion Rates: Containers

Lecture 47 Preferred Sign-Up Devices and Operating Systems

Lecture 48 Sign-Up Types and Errors

Lecture 49 Login Types and Errors - Homework

Lecture 50 Formatting the Tableau Story - Part 1

Lecture 51 Formatting the Tableau Story - Part 2

Section 6: Analysis Report and A/B Testing

Lecture 52 Dashboard Application for an Analysis Report

Lecture 53 Current State of Affairs: Observing Story Point 1 - Conversion Rate

Lecture 54 Current State of Affairs: Observing Story Point 2 - Sign-Up Types

Lecture 55 Current State of Affairs: Observing Story Point 2 - Success Rate

Lecture 56 Current State of Affairs: Observing Story Point 3 - Login Types

Lecture 57 Business Objective

Lecture 58 Hypothesis and Opportunity Sizing - Part 1

Lecture 59 Hypothesis and Opportunity Sizing - Part 2

Lecture 60 Actionable Insights Based on the Analysis

Lecture 61 Understanding the Fundamentals of A/B Testing

Lecture 62 Setting Up an A/B Test: Confidence, Significance, and p-values

Lecture 63 Setting Up an A/B Test: Minimum Detectable Effect and Statistical Power

Lecture 64 Running an A/B Test: Execution and Analysing the Results

Lecture 65 Discussion on the Observations

Section 7: Discussion And Further Analysis Of A Website Sign-Up Flow

Lecture 66 Conclusions and Recommendations

Section 8: Introduction to The Customer Churn Analysis Case Study

Lecture 67 Introduction to the business case

Lecture 68 Basic Terminology - Net Revenue, Refunds, New vs Recurring Revenue

Lecture 69 Types of customers

Lecture 70 Basic Terminology - Customer Churn and Customer Retention

Lecture 71 Defining key questions for the customer churn analysis

Lecture 72 Creating an outline of the dashboard

Lecture 73 Query 1 - Net Revenue

Lecture 74 How to export data from Workbench

Lecture 75 Query 2 - User Resurrections and how to export data from Workbench

Section 9: Creating a Customer Churn Story in Tableau

Lecture 76 Bar Chart - Net Revenue and Refunds

Lecture 77 Charts Formatting: Styling Tips for Business Dashboards in Tableau

Lecture 78 Customer Churn—Line Chart in Tableau

Lecture 79 Telling a Story with Data: Create a Dashboard to Add to the Tableau Story

Lecture 80 New vs Recurring Revenue—Combination Charts in Tableau

Lecture 81 Revenue by Country—Map Charts in Tableau

Lecture 82 Top 10 Countries by Revenue—Tables in Tableau

Lecture 83 Chart Formatting and Creating the Dashboard in Tableau

Lecture 84 User Resurrections - Bubble Chart in Tableau

Lecture 85 User Resurrections – Bar Chart in Tableau

Lecture 86 Assignment 2 – User Upgrades Bubble and Bar Chart

Lecture 87 Building the Tableau Dashboard - Page 5

Lecture 88 Annual Subscribers - Order Frequency Combination Chart in Tableau

Lecture 89 Annual Subscribers – Cohort Analysis Table in Tableau

Lecture 90 Assignment 3 – Monthly subscribers

Lecture 91 Building the Tableau Dashboard – Page 6

Lecture 92 Dashboard Interpretation – Net Revenue and Refunds

Lecture 93 Dashboard Interpretation – Churn Rates

Lecture 94 Dashboard Interpretation – New vs Recurring Revenue

Lecture 95 Dashboard Interpretation – Maps and Revenue by Country – Top 10

Lecture 96 Dashboard Interpretation – Maps and Revenue by Country – Average Order Value (AO

Lecture 97 Dashboard Interpretation – User Upgrades

Lecture 98 Dashboard Interpretation – User Resurrections

Lecture 99 Dashboard Interpretation – Order Frequency Table and Cohort Analysis – Annual Su

Lecture 100 Dashboard Interpretation – Order Frequency Tables and Cohort Analysis – Monthly

Lecture 101 What more is out there?

Section 10: Introduction To The Customer Engagement Analysis Case Study

Lecture 102 The Case Study

Lecture 103 Defining the Key Questions (Part 1)

Lecture 104 Defining the Key Questions (Part 2)

Lecture 105 Sketching the Dashboard (Part 1)

Lecture 106 Sketching the Dashboard (Part 2)

Section 11: Retrieving Relevant Data From The Database

Lecture 107 Importing and Presenting the Database

Lecture 108 SQL Query – Activity by Dates (Part 1)

Lecture 109 SQL Query – Activity by Dates (Part 2)

Lecture 110 SQL Query – Activity by Dates (Part 3)

Lecture 111 Assignment 1

Section 12: Building The Dashboard – Introduction To Dashboards

Lecture 112 Fixing the Size of the Dashboard

Lecture 113 The Horizontal, Vertical, and Blank Objects

Lecture 114 The Text, Image, and Navigation Objects

Lecture 115 Creating an Item Hierarchy

Lecture 116 Tiled versus Floating Layout

Section 13: Building The Dashboard – The Overview Page

Lecture 117 Creating the KPIs (Part 1)

Lecture 118 Creating the KPIs (Part 2)

Lecture 119 Assignment 2

Lecture 120 Horizontal Bar Chart – Overall Minutes Watched

Lecture 121 Formatting the Horizontal Bar Chart

Lecture 122 Assignment 3

Lecture 123 Swapping Between Charts Using a Parameter

Lecture 124 Donut Chart – Ratings

Lecture 125 Assignment 4

Lecture 126 Creating the First Page of the Dashboard (Part 1)

Lecture 127 Assignment 5

Lecture 128 Creating the First Page of the Dashboard (Part 2)

Lecture 129 Assignment 6

Lecture 130 Creating the First Page of the Dashboard (Part 3)

Section 14: Building The Dashboard – The Engagement And Onboarding Page

Lecture 131 Line Chart – Number of Engaged Students (Choosing the Engagement Period)

Lecture 132 Line chart – Onboarded to Registered Students (Choosing the Engagement Period)

Lecture 133 Assignment 7

Lecture 134 Line and Bar Charts - Number of Engaged Students (Choosing the Month and Year)

Lecture 135 Assignment 8

Lecture 136 Creating the Second Page of the Dashboard

Lecture 137 Assignment 9

Lecture 138 Configuring the Navigation Buttons

Lecture 139 Assignment 10

Section 15: Building The Dashboard – The Engagement By Cohorts Page

Lecture 140 What is a Cohort Analysis?

Lecture 141 Cohort Tables – Retention of Student Engagement

Lecture 142 Retention Curves – Retention of Student Engagement

Lecture 143 Assignment 11

Lecture 144 Creating the Third Page of the Dashboard

Lecture 145 Assignment 12

Lecture 146 Creating a Hover Tooltip

Lecture 147 Assignment 13

Section 16: Building The Dashboard – The Exams And Certificates Page

Lecture 148 Horizontal Stacked Bar Chart – Number of Exams Attempted

Lecture 149 Assignment 14

Lecture 150 Bar Charts – Certificates Issuance and Career Track Funnel

Lecture 151 Assignment 15

Lecture 152 Creating the Fourth Page of the Dashboard

Lecture 153 Assignment 16

Section 17: Building The Dashboard – The Content Consumption Page

Lecture 154 Combo Chart – F2P Conversion Rate and Subscription Duration

Lecture 155 Combo Charts – Minutes Watched and Minutes Watched per User

Section 18: Discussion And Insights

Lecture 156 Interpreting the Data (Platform Engagement)

Lecture 157 Interpreting the Data (Onboarding and Retention)

Lecture 158 Interpreting the Data (Content Consumption)

Lecture 159 Interpreting the Data (F2P CR and Subscription Duration)

Lecture 160 Interpreting the Data (Courses Engagement)

Lecture 161 Interpreting the Data (Exams)

Lecture 162 Interpreting the Data (Certificates)

Lecture 163 Further Steps and Improvement

You should take this course if you want to become a Data Analyst and Tableau Developer,This course is for you if you want a great career,The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills