Tableau 9 For Data Science: REAL-Life Data Science Exercises
Learn data visualization through Tableau 9 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 9
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 9, 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 are the requirements?
Basic knowledge of computers
What am I going to get from this course?
Install Tableau Desktop
Connect Tableau to various Datasets: Excel and CSV files
Create Area Charts
Create Interactive Dashboards
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)
What is the target audience?
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 in Tableau and want to take your skills to the next level and truly leverage the full potential of Tableau
|Section 1: Section 1 – It’s super easy to get Started|
Welcome! What is Tableau & Course Overview
Exercise – Get Excited!
BONUS Sep’15: How to get Unlimited Access to Tableau for FREE – Tableau Public
|Section 2: Tableau Basics: Your First Barchart|
The Business Challenge – Who Gets the Annual Bonus?
Connecting Tableau to a Data file – CSV file
Creating calculated fields
Adding labels and formatting
Exporting your worksheet
Get The Viz
|Section 3: Timeseries, Aggregation, and Filters|
Working with Data Extracts in Tableau
Working with timeseries
Understanding aggregation, granularity, and level of detail
Creating an area chart & learning about highlighting
Adding a filter and quick filter
Timeseries, Aggregation, and Filters
|Section 4: Maps, Scatterplots, and Your First Dashboard|
Joining Data in Tableau
Creating a map, working with hierarchies
Creating a scatter plot, applying filters to multiple worksheets
Let’s create our first dashboard!
Adding an interactive action – Filter
Adding an interactive action – Highlighting
Maps, Scatterplots, and Your First Dashboard
|Section 5: Joining and Blending Data, PLUS: Dual Axis Charts|
Understanding how LEFT, RIGHT, INNER, and OUTER joins work
Joins with duplicate values
Joining on multiple fields
Data Blending in Tableau
The showdown: Joining Data v.s. Blending Data in Tableau
Dual Axis chart
Creating calculated fields in a Blend (advanced topic)
Joining and Blending Data, PLUS: Dual Axis Charts
|Section 6: Table Calculations, Advanced Dashboards, Storytelling|
Downloading the dataset and connecting Tableau
Mapping: How To Set Geographical Roles
Creating Table Calculations
Creating Bins and Distributions
Leveraging the power of Parameters
How to create a Treemap chart
Creating a customer segmentation dashboard
Advanced dashboard interactivity and colouring
Analyzing the Customer Segmentation Dashboard
Creating a Storyline
Table Calculations, Advanced Dashboards, Storytelling
|Section 7: Advanced Data Preparation|
What format your data should be in
Data interpreter – new Tableau 9 feature
Pivot – new Tableau 9 feature
Splitting a Column into multiple Columns – new Tableau 9 feature
MetaData Grid – new Tableau 9 feature
Fixing Geographical Data Errors in Tableau
Advanced Data Preparation
|Section 8: Conclusion|
Course overview and roadmap download
Free Tableau 1YR license for University / College students
**CLAIM YOUR EXCLUSIVE BONUS**
Kirill Eremenko, Data Scientist & Forex Systems Expert
My name is Kirill Eremenko and I am super-psyched that you are reading this!
I teach courses in two distinct Business areas on Udemy: Data Science and Forex Trading. I want you to be confident that I can deliver the best training there is, so below is some of my background in both these fields.
Professionally, I am a Data Science management consultant with over five years of experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and today I leverage Big Data to drive business strategy, revamp customer experience and revolutionize existing operational processes.
From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. I am also passionate about public speaking, and regularly present on Big Data at leading Australian universities and industry events.
Since 2007 I have been actively involved in the Forex market as a trader as well as running programming courses in MQL4. Forex trading is something I really enjoy, because the Forex market can give you financial, and more importantly – personal freedom.
In my other life I am a Data Scientist – I study numbers to analyze patterns in business processes and human behaviour… Sound familiar? Yep! Coincidentally, I am a big fan of Algorithmic Trading 🙂 EAs, Forex Robots, Indicators, Scripts, MQL4, even java programming for Forex – Love It All!
To sum up, I am absolutely and utterly passionate about both Data Science and Forex Trading and I am looking forward to sharing my passion and knowledge with you!
- Lectures 0
- Quizzes 0
- Duration 50 hours
- Skill level All level
- Language English
- Students 13786
- Assessments Self