The Complete Tableau Analyst Bootcamp 2024
The Complete Tableau Analyst Bootcamp 2024, available at $19.99, has an average rating of 4.4, with 216 lectures, 4 quizzes, based on 263 reviews, and has 2830 subscribers.
You will learn about 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 This course is ideal for individuals who are You should take this course if you want to become a Data Analyst and Tableau Developer or This course is for you if you want a great career or The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills It is particularly useful for You should take this course if you want to become a Data Analyst and Tableau Developer or This course is for you if you want a great career or The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills.
Enroll now: The Complete Tableau Analyst Bootcamp 2024
Summary
Title: The Complete Tableau Analyst Bootcamp 2024
Price: $19.99
Average Rating: 4.4
Number of Lectures: 216
Number of Quizzes: 4
Number of Published Lectures: 216
Number of Published Quizzes: 4
Number of Curriculum Items: 221
Number of Published Curriculum Objects: 221
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- 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
Target Audiences
- 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
The Problem
Many Tableau courses overlook a crucial aspect—they fail to teach working with real-world data to extract significant business insights. This results in a substantial skills gap between job requirements and training. Effective data analysis transcends mere number-crunching and chart-making; it involves comprehending business contexts and generating insightful, decision-driving analyses. To excel, an analyst must master Tableau tools and skillfully interpret and utilize actual business data—recognizing patterns, identifying trends, and grasping underlying business processes and goals.
The Solution
We aim to fully prepare you—transforming you into a job-ready Tableau developer through practical case studies from a single company, offering a comprehensive real-business perspective.
Topics We 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 Data
Our curriculum—structured to build progressively on each topic—ensures a seamless learning journey where you won’t lose your way, highlighting its immense value.
Benefits of Taking the Course
The Complete Tableau Bootcamp provides a unique opportunity to master Tableau from the basics to advanced skills—equipping you to excel in any job from day one.
Additionally, this course enhances your analytical mindset, addressing a common challenge among budding data analysts—mastering technical tools without applying them to real business data for insights. It stands out with its wealth of practical examples and real-world case studies, focusing on understanding, querying, analyzing, and visualizing business data.
What you get:
-
Valuable program worth 1,000$
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Active Q&A support
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Comprehensive data analyst knowledge
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Aspiring data analyst community
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Certificate upon completion
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Regular future updates access
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Practical training with business case studies
Prepare to start your journey as a data analyst from the ground up.
Why delay? Each day is an opportunity lost.
Join our full Tableau bootcamp now by clicking the ‘Buy Now’ button.
Course Curriculum
Chapter 1: Introduction to Tableau
Lecture 1: What does the course cover
Lecture 2: Why use Tableau: Make your data make an impact
Lecture 3: Let's download Tableau Public
Lecture 4: Connecting data in Tableau
Lecture 5: Exploring Tableau's interface
Lecture 6: Let's create our first chart in Tableau!
Lecture 7: Duplicating a sheet
Lecture 8: Creating a table
Lecture 9: Creating custom fields
Lecture 10: Creating a custom field and adding calculations to a table
Lecture 11: Adding totals and subtotals
Lecture 12: Adding a custom calculation
Lecture 13: Inserting a filter
Lecture 14: Working with joins in Tableau
Chapter 2: Creating a Tableau Dashboard
Lecture 1: Introduction to the exercise
Lecture 2: Let's create a dashboard – Visualizing the three charts we want to create
Lecture 3: Using Joins in Tableau
Lecture 4: Performing a Numbers Check – Attempt #1
Lecture 5: Blending Data in Tableau
Lecture 6: Performing a Numbers Check – Attempt #2
Lecture 7: First chart
Lecture 8: Second chart
Lecture 9: Third Chart
Lecture 10: Creating and Formatting a Dashboard
Lecture 11: Adding Interactive Filters for Improved Analysis
Lecture 12: Interactive filters – fix
Chapter 3: Introduction To The Sign-Up Flow Optimization Analysis Case Study
Lecture 1: Motivation
Lecture 2: Understanding the 365's Sign-Up Process
Lecture 3: Basic Terminology
Lecture 4: Defining the Key Aspects of the Sign-Up Process
Lecture 5: Sketching the Story
Chapter 4: SQL: Data Retrieving
Lecture 1: Types of Data Access
Lecture 2: Getting to know the Database
Lecture 3: SQL Query 1: Sign-Up Conversion Rate
Lecture 4: SQL Query 2: Sign-Up Types and Errors – Part 1
Lecture 5: SQL Query 2: Sign-Up Types and Erros – Part 2
Lecture 6: SQL Query 3: Login Types and Errors – Homework
Chapter 5: Tableau: Dashboard Sheets And Creating The Story
Lecture 1: SQL and Tableau
Lecture 2: Sign-Up Conversion Rate
Lecture 3: Device and Operating System Distribution
Lecture 4: Preferred Devices Horizontal Bar Chart
Lecture 5: Preferred Operating System Horizontal Bar Chart
Lecture 6: Sign-Up Types and Errors Bar Chart
Lecture 7: Login Types and Errors Bar Charts – Homework
Lecture 8: Creating Dashboards: Getting Familiar with the Canvas
Lecture 9: Sign-Up Conversion Rates: Sheet Swapping with Parameters
Lecture 10: Sign-Up Conversion Rates: Containers
Lecture 11: Preferred Sign-Up Devices and Operating Systems
Lecture 12: Sign-Up Types and Errors
Lecture 13: Login Types and Errors – Homework
Lecture 14: Formatting the Tableau Story – Part 1
Lecture 15: Formatting the Tableau Story – Part 2
Chapter 6: Analysis Report and A/B Testing
Lecture 1: Dashboard Application for an Analysis Report
Lecture 2: Current State of Affairs: Observing Story Point 1 – Conversion Rate
Lecture 3: Current State of Affairs: Observing Story Point 2 – Sign-Up Types
Lecture 4: Current State of Affairs: Observing Story Point 2 – Success Rate
Lecture 5: Current State of Affairs: Observing Story Point 3 – Login Types
Lecture 6: Business Objective
Lecture 7: Hypothesis and Opportunity Sizing – Part 1
Lecture 8: Hypothesis and Opportunity Sizing – Part 2
Lecture 9: Actionable Insights Based on the Analysis
Lecture 10: Understanding the Fundamentals of A/B Testing
Lecture 11: Setting Up an A/B Test: Confidence, Significance, and p-values
Lecture 12: Setting Up an A/B Test: Minimum Detectable Effect and Statistical Power
Lecture 13: Running an A/B Test: Execution and Analysing the Results
Lecture 14: Discussion on the Observations
Chapter 7: Discussion And Further Analysis Of A Website Sign-Up Flow
Lecture 1: Conclusions and Recommendations
Chapter 8: Introduction to The Customer Churn Analysis Case Study
Lecture 1: Introduction to the business case
Lecture 2: Basic Terminology – Net Revenue, Refunds, New vs Recurring Revenue
Lecture 3: Types of customers
Lecture 4: Basic Terminology – Customer Churn and Customer Retention
Lecture 5: Defining key questions for the customer churn analysis
Lecture 6: Creating an outline of the dashboard
Lecture 7: Query 1 – Net Revenue
Lecture 8: How to export data from Workbench
Lecture 9: Query 2 – User Resurrections and how to export data from Workbench
Chapter 9: Creating a Customer Churn Story in Tableau
Lecture 1: Bar Chart – Net Revenue and Refunds
Lecture 2: Charts Formatting: Styling Tips for Business Dashboards in Tableau
Lecture 3: Customer Churn—Line Chart in Tableau
Lecture 4: Telling a Story with Data: Create a Dashboard to Add to the Tableau Story
Lecture 5: New vs Recurring Revenue—Combination Charts in Tableau
Lecture 6: Revenue by Country—Map Charts in Tableau
Lecture 7: Top 10 Countries by Revenue—Tables in Tableau
Lecture 8: Chart Formatting and Creating the Dashboard in Tableau
Lecture 9: User Resurrections – Bubble Chart in Tableau
Lecture 10: User Resurrections – Bar Chart in Tableau
Lecture 11: Assignment 2 – User Upgrades Bubble and Bar Chart
Lecture 12: Building the Tableau Dashboard – Page 5
Lecture 13: Annual Subscribers – Order Frequency Combination Chart in Tableau
Lecture 14: Annual Subscribers – Cohort Analysis Table in Tableau
Instructors
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365 Careers
Creating opportunities for Data Science and Finance students
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 8 votes
- 3 stars: 20 votes
- 4 stars: 99 votes
- 5 stars: 134 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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