English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 7.5 Hours | 967 MB
eLearning | Skill level: All Levels
Learn Tableau 10 for Data Science step-by-step. Real-Life Data Analytics Exercises & Quizzes Included. Learn by doing!
Learn data visualization through Tableau 10 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 Accordingly
- Connect Tableau to a Variety of Datasets
- Analyze, Blend, Join, and Calculate Data
- Visualize Data in the Form of Various Charts, Plots, and Maps
Convert Raw Data Into Compelling Data Visualizations Using Tableau 10
Because 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 Overview
This 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.
What you’ll learn
- Install Tableau Desktop 10
- 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 9)
It’s super easy to get Started
1 Welcome! What is Tableau & Course Overview
3 Exercise – Get Excited!
4 Updates on Udemy Reviews
5 Some Additional Resources!!
Tableau Basics Your First Bar chart
6 The Business Challenge – Who Gets the Annual Bonus
7 Connecting Tableau to a Data File – CSV File
8 Navigating Tableau
9 Creating Calculated Fields
10 Adding Colors
11 Adding Labels and Formatting
12 Exporting Your Worksheet
13 Get The Viz
Time series, Aggregation, and Filters
14 Section Intro
15 Working with Data Extracts in Tableau
16 Working with Time Series
17 Understanding Aggregation, Granularity, and Level of Detail
18 Creating an Area Chart & Learning About Highlighting
19 Adding a Filter and Quick Filter
Maps, Scatterplots, and Your First Dashboard
20 Section Intro
21 Joining Data in Tableau
22 Creating a Map, Working with Hierarchies
23 Creating a Scatter Plot, Applying Filters to Multiple Worksheets
24 Let’s Create our First Dashboard!
25 Adding an Interactive Action – Filter
26 Adding an Interactive Action – Highlighting
Joining and Blending Data, PLUS Dual Axis Charts
27 Section Intro
28 Understanding how LEFT, RIGHT, INNER, and OUTER Joins Work
29 Joins With Duplicate Values
30 Joining on Multiple Fields
31 The Showdown Joining Data v.s. Blending Data in Tableau
32 Data Blending in Tableau
33 Dual Axis Chart
34 Creating Calculated Fields in a Blend (Advanced Topic)
35 Section Recap
Table Calculations, Advanced Dashboards, Storytelling
36 Section Intro
37 Analyzing the Customer Segmentation Dashboard
38 Creating a Storyline
39 Downloading the Dataset and Connecting to Tableau
40 Mapping how to Set Geographical Roles
41 Creating Table Calculations for Gender
42 Creating Bins and Distributions For Age
43 Leveraging the Power of Parameters
44 How to Create a Tree Map Chart
45 Creating a Customer Segmentation Dashboard
46 Advanced Dashboard Interactivity
Advanced Data Preparation
47 Section Intro
48 What Format Your Data Should Be In
49 Data Interpreter
51 Splitting a Column into Multiple Columns
52 MetaData Grid
53 Fixing Geographical Data Errors in Tableau
What’s new in Tableau 10
54 Section Intro
55 New Design Features
56 New Mobile Features
57 Section Recap
58 The Challenge Startup Expansion Analytics
59 Custom Territories Via Groups
60 Custom Territories Via Geographic Roles
61 Adding a Highlighter
62 Clustering In Tableau
63 Cross-Database Joins
64 Modeling With Clusters
65 Saving Your Clusters
66 Course overview and roadmap download
67 YOUR SPECIAL BONUS