Tableau 9 For Data Science: REAL-Life Data Science Exercises

Learn Tableau 9 for Data Science step-by-step. Apply Tableau to Real-Life Data Analytics exercises. Learn by doing!
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  • Lectures 55
  • Length 6 hours
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 7/2015 English

Course Description

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 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)

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

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Section 1 - It's super easy to get Started
Welcome! What is Tableau & Course Overview
Preview
05:44
Installation
03:28
Exercise - Get Excited!
Preview
05:01
BONUS Sep'15: How to get Unlimited Access to Tableau for FREE - Tableau Public
05:21
Section 2: Tableau Basics: Your First Barchart
The Business Challenge - Who Gets the Annual Bonus?
03:32
Connecting Tableau to a Data file - CSV file
06:00
Navigating Tableau
08:44
Creating calculated fields
06:17
Adding colours
07:37
Adding labels and formatting
11:00
Exporting your worksheet
07:40
Get The Viz
00:50
Tableau Basics
5 questions
Section 3: Timeseries, Aggregation, and Filters
Section intro
02:15
Working with Data Extracts in Tableau
07:58
Working with timeseries
09:37
Understanding aggregation, granularity, and level of detail
09:20
Creating an area chart & learning about highlighting
Preview
08:45
Adding a filter and quick filter
08:48
Timeseries, Aggregation, and Filters
5 questions
Section 4: Maps, Scatterplots, and Your First Dashboard
Section intro
01:14
Joining Data in Tableau
09:56
Creating a map, working with hierarchies
10:59
Creating a scatter plot, applying filters to multiple worksheets
10:14
Let's create our first dashboard!
07:15
Adding an interactive action - Filter
08:19
Adding an interactive action - Highlighting
09:24
Maps, Scatterplots, and Your First Dashboard
5 questions
Section 5: Joining and Blending Data, PLUS: Dual Axis Charts
Section intro
04:26
Understanding how LEFT, RIGHT, INNER, and OUTER joins work
06:18
Joins with duplicate values
02:32
Joining on multiple fields
05:21
Data Blending in Tableau
15:16
The showdown: Joining Data v.s. Blending Data in Tableau
10:48
Dual Axis chart
Preview
12:06
Creating calculated fields in a Blend (advanced topic)
13:14
Section Recap
07:01
Joining and Blending Data, PLUS: Dual Axis Charts
7 questions
Section 6: Table Calculations, Advanced Dashboards, Storytelling
Section intro
00:56
Downloading the dataset and connecting Tableau
03:53
Mapping: How To Set Geographical Roles
06:28
Creating Table Calculations
05:00
Creating Bins and Distributions
06:41
Leveraging the power of Parameters
08:00
How to create a Treemap chart
02:11
Creating a customer segmentation dashboard
06:03
Advanced dashboard interactivity and colouring
07:02
Analyzing the Customer Segmentation Dashboard
Preview
10:47
Creating a Storyline
12:38
Table Calculations, Advanced Dashboards, Storytelling
7 questions
Section 7: Advanced Data Preparation
Section intro
02:11
What format your data should be in
05:09
Data interpreter - new Tableau 9 feature
11:36
Pivot - new Tableau 9 feature
Preview
02:37
Splitting a Column into multiple Columns - new Tableau 9 feature
03:11
MetaData Grid - new Tableau 9 feature
06:54
Fixing Geographical Data Errors in Tableau
07:15
Advanced Data Preparation
3 questions
Section 8: Conclusion
Course overview and roadmap download
08:51
Free Tableau 1YR license for University / College students
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Instructor Biography

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.

Data Science

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.

Forex Trading

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!

Summary

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!

Instructor Biography

SuperDataScience Team, Helping Data Scientists Succeed

Hi there,

We are the SuperDataScience team. You will find us in the Data Science courses taught by Kirill Eremenko - we are here to help you out with any questions and make sure your journey through the courses is always smooth sailing!

The best way to get in touch is to post a discussion in the Q&A of the course you are taking. In most cases we will respond within 24 hours.

We're passionate about helping you enjoy the courses!

See you in class,

Sincerely,

The Real People at SuperDataScience

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