Tableau 2022 AZ HandsOn Tableau Training for Data Science
What you’ll learn
Install Tableau Desktop 2022
Connect Tableau to various Datasets: Excel and CSV files
Create Barcharts
Create Area Charts
Create Maps
Create Scatterplots
Create Piecharts
Create Treemaps
Create Interactive Dashboards
Create Storylines
Understand Types of Joins and how they work
Work with Data Blending in Tableau
Create Table Calculations
Work with Parameters
Create Dual Axis Charts
Create Calculated Fields
Create Calculated Fields in a Blend
Export Results from Tableau into Powerpoint, Word, and other software
Work with Timeseries Data (two methods)
Creating Data Extracts in Tableau
Understand Aggregation, Granularity, and Level of Detail
Adding Filters and Quick Filters
Create Data Hierarchies
Adding Actions to Dashboards (filters & highlighting)
Assigning Geographical Roles to Data Elements
Advanced Data Preparation (including latest updates in Tableau)
Requirements
Basic knowledge of computers
Description
Learn data visualization through Tableau 2022 and create opportunities for you or key decision-makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.You’ll learn all of the features in Tableau that allow you to explore, experiment with, fix, prepare, and present data easily, quickly, and beautifully.Use Tableau to Analyze and Visualize Data So You Can Respond AccordinglyConnect Tableau to a Variety of DatasetsAnalyze, Blend, Join, and Calculate DataVisualize Data in the Form of Various Charts, Plots, and MapsConvert Raw Data Into Compelling Data Visualizations Using Tableau 2022Because every module of this course is independent, you can start in whatever section you wish, and you can do as much or as little as you like.Each section provides a new data set and exercises that will challenge you so you can learn by immediately applying what you’re learning.Content is updated as new versions of Tableau are released. You can always return to the course to further hone your skills, while you stay ahead of the competition.Contents and OverviewThis course begins with Tableau basics. You will navigate the software, connect it to a data file, and export a worksheet, so even beginners will feel completely at ease.To be able to find trends in your data and make accurate forecasts, you’ll learn how to work with data extracts and timeseries.Also, to make data easier to digest, you’ll tackle how to use aggregations to summarize information. You will also use granularity to ensure accurate calculations.In order to begin visualizing data, you’ll cover how to create various charts, maps, scatterplots, and interactive dashboards for each of your projects.You’ll even learn when it’s best to join or blend data in order to work with and present information from multiple sources.Finally, you’ll cover the latest and most advanced features of data preparation in Tableau 10, where you will create table calculations, treemap charts, and storylines.By the time you complete this course, you’ll be a highly proficient Tableau user. You will be using your skills as a data scientist to extract knowledge from data so you can analyze and visualize complex questions with ease.You’ll be fully prepared to collect, examine, and present data for any purpose, whether you’re working with scientific data or you want to make forecasts about buying trends to increase profits.
Overview
Section 1: It’s super easy to get Started
Lecture 1 Welcome! What is Tableau & Course Overview
Lecture 2 Installation
Lecture 3 Exercise – Get Excited!
Lecture 4 Get the Datasets here
Lecture 5 Extra Resources
Section 2: Tableau Basics: Your First Bar chart
Lecture 6 The Business Challenge – Who Gets the Annual Bonus?
Lecture 7 Connecting Tableau to a Data File – CSV File
Lecture 8 Navigating Tableau
Lecture 9 Creating Calculated Fields
Lecture 10 Adding Colors
Lecture 11 Adding Labels and Formatting
Lecture 12 Exporting Your Worksheet
Lecture 13 Get The Viz
Section 3: Time series, Aggregation, and Filters
Lecture 14 Section Intro
Lecture 15 Working with Data Extracts in Tableau
Lecture 16 Working with Time Series
Lecture 17 Understanding Aggregation, Granularity, and Level of Detail
Lecture 18 Creating an Area Chart & Learning About Highlighting
Lecture 19 Adding a Filter and Quick Filter
Section 4: Maps, Scatterplots, and Your First Dashboard
Lecture 20 Section Intro
Lecture 21 Relationships vs Joins (v. 2020.2 update)
Lecture 22 Joining Data in Tableau
Lecture 23 Creating a Map, Working with Hierarchies
Lecture 24 Creating a Scatter Plot, Applying Filters to Multiple Worksheets
Lecture 25 Let’s Create our First Dashboard!
Lecture 26 Adding an Interactive Action – Filter
Lecture 27 Adding an Interactive Action – Highlighting
Section 5: Joining, Blending and Relationships; PLUS: Dual Axis Charts
Lecture 28 Section Intro
Lecture 29 Understanding how LEFT, RIGHT, INNER, and OUTER Joins Work
Lecture 30 Joins With Duplicate Values
Lecture 31 Joining on Multiple Fields
Lecture 32 The Showdown: Joining Data v.s. Blending Data in Tableau
Lecture 33 Data Blending in Tableau
Lecture 34 Dual Axis Chart
Lecture 35 Creating Calculated Fields in a Blend (Advanced Topic)
Lecture 36 New challenge and dataset!
Lecture 37 The Data Model (v2020.2 update)
Lecture 38 Working with Relationships in Tableau (v2020.2 update)
Lecture 39 Section Recap
Section 6: Table Calculations, Advanced Dashboards, Storytelling
Lecture 40 Section Intro
Lecture 41 Downloading the Dataset and Connecting to Tableau
Lecture 42 Mapping: how to Set Geographical Roles
Lecture 43 Creating Table Calculations for Gender
Lecture 44 Creating Bins and Distributions For Age
Lecture 45 Leveraging the Power of Parameters
Lecture 46 How to Create a Tree Map Chart
Lecture 47 Creating a Customer Segmentation Dashboard
Lecture 48 Advanced Dashboard Interactivity
Lecture 49 Analyzing the Customer Segmentation Dashboard *
Lecture 50 Creating a Storyline
Section 7: Advanced Data Preparation
Lecture 51 Section Intro
Lecture 52 What Format Your Data Should Be In
Lecture 53 Data Interpreter
Lecture 54 Pivot
Lecture 55 Splitting a Column into Multiple Columns
Lecture 56 MetaData Grid
Lecture 57 Fixing Geographical Data Errors in Tableau
Section 8: Clusters, Custom Territories, Design Features
Lecture 58 The Challenge: Startup Expansion Analytics
Lecture 59 Custom Territories Via Groups
Lecture 60 Custom Territories Via Geographic Roles
Lecture 61 Adding a Highlighter
Lecture 62 Clustering In Tableau
Lecture 63 Cross-Database Joins
Lecture 64 Modeling With Clusters
Lecture 65 Saving Your Clusters
Lecture 66 New Mobile Features
Lecture 67 Section Recap
Section 9: What’s new in Tableau
Lecture 68 Section Intro
Lecture 69 Data From PDF Files
Lecture 70 Connecting to PDF
Lecture 71 Connecting to Spatial Files
Lecture 72 Joining to Spatial Files
Lecture 73 Putting it All Together
Lecture 74 Step and Jump Line Chart
Lecture 75 Viz in Tooltip
Section 10: Conclusion
Lecture 76 Course overview and roadmap download
Lecture 77 THANK YOU Video
Lecture 78 EXTRA: Interview With A Graduate Of This Course
Lecture 79 Some Additional Resources!!
Lecture 80 ***YOUR SPECIAL BONUS***
You should take this course if want to learn Tableau completely from scratch,You should take this course if you know some Tableau skills but want to get better,You should take this course if you are good with Tableau and want to take your skills to the next level and truly leverage the full potential of Tableau
Course Information:
Udemy | English | 8h 39m | 4.77 GB
Created by: Kirill Eremenko
You Can See More Courses in the Business >> Greetings from CourseDown.com