Tableau 2019 + Tableau 2018: Tableau DS Certification from Udemy

What's inside

Learning objectives

Tableau exam facts + registration process
Tableau exam rules + environment
Tableau exam day tips + result + (objection !)
Start page + data source page + workspace
Measure vs. dimension
Discrete - continuous dimension
Discrete - continuous measure
Aggregation
Granularity
Data source filters + extract filters
Context filters + date filters
Live vs. extract (theory + practice)
Save - edit data source
.twb, .twbx, .tds, .tdsx, .hyper
Union (theory + practice)
Left join, right join, inner join, outer join
Cross database join
Blending (theory + practice)
Rename column, data types
Hide, split, custom split, alias
Default: aggregation + color + shape
Default: number format + comment
Basic charts
Text table + highlight table

Stacked bar chart
Combined axis chart
Combination charts
Groups
Static set vs. dynamic set
Dynamic set top n + bottom n
Hierarchy (date + location + time)
Manual vs. computed sort
Reference line
Reference band & distribution (bonus)
Trend line
Table calculation
Calculated field
Histogram & bin
Dashboard design principles
Dashboard elements
Dashboard actions
Create - edit device layout
Story
Dashboard vs. story
Export options ( pdf + image + db)
Show more
Show less

Tableau exam facts + registration process
Tableau exam rules + environment
Tableau exam day tips + result + (objection !)
Start page + data source page + workspace
Measure vs. dimension
Discrete - continuous dimension
Discrete - continuous measure
Aggregation
Granularity
Data source filters + extract filters
Context filters + date filters
Live vs. extract (theory + practice)
Save - edit data source
.twb, .twbx, .tds, .tdsx, .hyper
Union (theory + practice)
Left join, right join, inner join, outer join
Cross database join
Blending (theory + practice)
Rename column, data types
Hide, split, custom split, alias
Default: aggregation + color + shape
Default: number format + comment
Basic charts
Text table + highlight table
Stacked bar chart
Combined axis chart
Combination charts
Groups
Static set vs. dynamic set
Dynamic set top n + bottom n
Hierarchy (date + location + time)
Manual vs. computed sort
Reference line
Reference band & distribution (bonus)
Trend line
Table calculation
Calculated field
Histogram & bin
Dashboard design principles
Dashboard elements
Dashboard actions
Create - edit device layout
Story
Dashboard vs. story
Export options ( pdf + image + db)
Show more
Show less

Syllabus

Introduction

Welcome & Intro

Please, check the "Important_URLs.pdf" file.

Please, download the "Data & Important Workbooks .zip"

Download "Tableau Desktop" NOT " Tableau Public"

Tableau Desktop Installation (Exam Version 2020.1)

Easy Peasy Lemon Squeezy - Your first Dashboard

Exam: Facts + Registration

Exam Rules + Environment

Exam Day Tips + Result

Tableau Chart Types - I M P O R T A N T

Hands On - 1

Quiz - 1

Tableau User Interface, Measure vs. Dimension, Discrete vs.Continuous, Aggregation, Granularity,

UI - Start Page & Data Source Page

UI - Workspace = Worktab

Basic View - Filters

Discrete vs. Continuous (Basics)

Discrete OR Continuous Dimensions

Discrete OR Continuous Measures (BONUS)

Aggregation

Granularity

Hands On - 2

Hands On - 2 Solution

Quiz - 2

Live vs. Extract Connection, Tableau Extract Capabilities, Save-Edit Data Source, ...

Connect Data - Live vs. Extract (Theory)

Connect Data - Live vs. Extract (Practice) - Tableau Extract Capabilities

Connect Data - Save-Edit Data Source - All Extensions

Modify Data - Union

Modify Data - Join (Left, Right, Inner, Outer)

Modify Data - Cross Database Join

Modify Data - Blending

Manage Data & Default Properties I

Manage Data & Default Properties II

Hands On - 3

Hands On - 3 Solution

Quiz - 3

Exploring & Analyzing Data

Create Charts - Show Me

Create Charts - Stacked Bar Chart, Cross Table, Highlight Table

Create Charts Combined Axis Chart, Combination Charts

Organize Data - Group

Organize Data - Static Set

Organize Data - Dynamic Set

Organize Data - Parameter 1 - TOP N + BOTTOM N (BONUS)

Organize Data - Hierarchy

Organize Data - Filters

Organize Data -Context Filter

Analytics - Manual & Computed Sort

Analytics - Reference Line

Analytics - Reference Band & Distribution (BONUS)

Analytics - Trend Line

Analytics - Table Calculation

Analytics - Calculated Field I

Analytics - Calculated Field II

Analytics - Parameter 2 - Histogram & Bin

Hands On - 4

Hands On - 4 Solution

Hands On - 4 Solution Cont.

Quiz - 4

Sharing Insight

Format View + Design Principles

Dashboard - Elements + Actions I

Dashboard - Elements + Actions II

Dashboard - Create & Edit Device Layout

Story

Share as PDF or Image

Export Options :Export As + PPT + TIFF + BMP + EMF

Quiz - 5

Hands On - 5

Hands On - 5 Solution

Sample Exam 1 -Updated

Exam 1: INFO + DATA

Exam 1

Exam 1: Solutions 1-5

Exam 1: Solutions 6-10

Exam 1: Solutions 11-15

Exam 1: Solutions 16-20

Exam 1: Solutions 21-25

Exam 1: Solutions 26-30

Sample Exam 2 -Updated

Exam 2: INFO + DATA

Exam 2

Exam 2: Solutions 1-5

Exam 2: Solutions 6-10

Exam 2: Solutions 11-15

Exam 2: Solutions 16-20

Exam 2: Solutions 21-25

Exam 2: Solutions 26-30

I M P O R T A N T - UPDATE

Before Start

Blending - Hands On

Blending

Packed Workbook - Use as filter

OLD Sample Exam 1 - Please Ignore the Hands On Questions

INFO - NO Data

Old_Exam 1: Solutions 1-10

Old_Exam 1: Solutions 11-20

Old_Exam 1: Solutions 21-30

OLD Sample Exam 2 - Please Ignore the Hands On Questions

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores Tableau, which is standard in many fields such as Business Analytics and Business Intelligence

Taught by Emin Cengay and Mert KOÇ, who are recognized for their work in Tableau Desktop

Examines Tableau Desktop Specialist Certification Exam, which is highly relevant to industry

Develops skills and knowledge in Tableau, which are core skills for data analytics and data visualization

Provides hands-on labs and interactive materials for practice

Teaches Tableau Desktop version 2020 and 2019, which may not be the latest version

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Tableau 2019 + Tableau 2018: Tableau DS Certification with these activities:

Organize and Review Course Materials

Show steps

Ensure you have all the necessary materials and resources to succeed in the course by organizing and reviewing them.

Show steps

Gather all the course materials, including lecture notes, slides, assignments, and readings.
Create a system for organizing and storing these materials.
Review the materials regularly to reinforce your understanding.

Review Tableau Concepts

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Strengthen your understanding of fundamental Tableau concepts to prepare for the course.

Browse courses on Data Visualization

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Review the Tableau documentation or online tutorials on basic concepts, such as dimensions, measures, and data types.
Create a new Tableau workbook and explore the different data views and visualizations.

Follow Tableau Tutorial Series

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Gain a foundational understanding of Tableau by following a guided tutorial series.

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Identify a reputable tutorial series or course on Tableau.
Follow the tutorials and complete the exercises.

Eight other activities

Expand to see all activities and additional details

Show all 11 activities

Tableau Calculation Review: Expressions and Filtering

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Practice and enhance proficiency in Tableau calculated fields and filters.

Show steps

Review basic calculation syntax and functions
Practice creating calculated fields for various scenarios
Explore different filter types and their applications
Complete practice exercises and challenges

Visualizing Geospatial Data with Tableau Maps

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Explore Tableau's mapping capabilities through tutorials to create interactive geospatial visualizations.

Browse courses on Data Visualization

Show steps

Set up and connect to geographical data
Create basic maps and customize map properties
Add layers, points of interest, and heatmaps
Explore advanced mapping techniques and visualizations

Practice Tableau Calculations

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Become proficient in creating calculated fields and table calculations to manipulate and analyze data.

Show steps

Review the Tableau documentation on calculations.
Create a new Tableau workbook and connect to a data source.
Practice creating calculated fields to perform basic calculations, such as adding, subtracting, multiplying, and dividing.
Practice creating table calculations to perform more complex calculations, such as moving averages and running totals.
Use your calculations to create visualizations that answer business questions.

Create a Tableau Dashboard

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Gain hands-on experience in designing and developing interactive dashboards to communicate data insights.

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Identify a business question or problem that you want to solve with a dashboard.
Gather the necessary data and prepare it for use in Tableau.
Design the layout of your dashboard, including the placement of visualizations and filters.
Create visualizations to represent your data and insights.
Add interactivity to your dashboard, such as filters and drill-downs.

Dashboard Development: Business Case Analysis

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Develop a business case for a data-driven dashboard application to enhance decision-making.

Browse courses on Dashboard Development

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Identify a business problem and define KPIs
Gather data and determine data requirements
Design and develop a dashboard prototype
Conduct user testing and gather feedback
Refine and finalize the dashboard

Create a Tableau Story

Show steps

Learn how to use Tableau's storytelling features to present insights and data in a compelling and engaging way.

Show steps

Identify a topic or business problem that you want to communicate.
Gather the necessary data and prepare it for use in Tableau.
Create a storyboard to outline the flow of your story.
Design and develop your visualizations and dashboards.
Create a Tableau story to combine your visualizations and dashboards into a cohesive narrative.

Analyze a Real-World Dataset with Tableau

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Apply your Tableau skills to a real-world dataset to gain practical experience and demonstrate your abilities.

Show steps

Find a publicly available dataset that is relevant to your interests or industry.
Import the dataset into Tableau and clean and prepare it for analysis.
Explore the data and identify trends, patterns, and insights.
Create visualizations to communicate your findings.
Write a report or presentation to summarize your analysis.

Participate in Tableau Hackathon

Show steps

Challenge yourself and compete with other Tableau users to solve data problems and create innovative solutions.

Show steps

Find a Tableau hackathon or competition that aligns with your interests or skills.
Team up with other participants or work individually.
Analyze the provided data and develop a solution using Tableau.
Present your solution to a panel of judges.

Career center

Learners who complete Tableau 2019 + Tableau 2018: Tableau DS Certification will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts use data to solve business problems and make informed decisions. They may use Tableau to create visualizations that help stakeholders understand data and identify trends. This course can help you learn the skills needed to succeed in this role, such as data analysis, visualization, and communication.

See salaries and explore the career path for Data Analyst

Business Analyst

A Business Analyst combines a deep understanding of business needs with a technical background to help organizations improve their processes. They may use data visualization tools like Tableau to analyze data, identify trends, and make recommendations for improvement. This course can help you develop the skills needed to succeed in this role, including data analysis, visualization, and communication.

See salaries and explore the career path for Business Analyst

Data Visualization Engineer

Data Visualization Engineers use data to create visualizations that communicate insights to stakeholders. They may use Tableau to create interactive data visualizations. This course can help you learn the skills needed to succeed in this role, such as data visualization, user experience design, and programming.

See salaries and explore the career path for Data Visualization Engineer

Product Manager

Product Managers use data to make decisions about product development and marketing. They may use Tableau to visualize data and identify trends. This course can help you learn the skills needed to succeed in this role, such as data analysis, visualization, and product management.

See salaries and explore the career path for Product Manager

Statistician

Statisticians use data to make inferences about the world. They may use Tableau to visualize data and communicate their findings to stakeholders. This course can help you learn the skills needed to succeed in this role, such as data analysis, visualization, and statistics.

See salaries and explore the career path for Statistician

Data Scientist

Data Scientists use data to build models and make predictions. They may use Tableau to visualize data and communicate their findings to stakeholders. This course can help you learn the skills needed to succeed in this role, such as data analysis, visualization, and modeling.

See salaries and explore the career path for Data Scientist

Quantitative Analyst

Quantitative Analysts use data to make investment decisions. They may use Tableau to visualize data and identify trends. This course can help you learn the skills needed to succeed in this role, such as data analysis, visualization, and financial modeling.

See salaries and explore the career path for Quantitative Analyst

Market Researcher

Market Researchers use data to understand consumer behavior and market trends. They may use Tableau to visualize data and communicate their findings to stakeholders. This course can help you learn the skills needed to succeed in this role, such as data analysis, visualization, and market research.

See salaries and explore the career path for Market Researcher

Sales Analyst

Sales Analysts use data to improve sales performance. They may use Tableau to visualize data and identify trends. This course can help you learn the skills needed to succeed in this role, such as data analysis, visualization, and sales analysis.

See salaries and explore the career path for Sales Analyst

Strategy Consultant

Strategy Consultants use data to help organizations make strategic decisions. They may use Tableau to visualize data and identify trends. This course can help you learn the skills needed to succeed in this role, such as data analysis, visualization, and strategy consulting.

See salaries and explore the career path for Strategy Consultant

Operations Research Analyst

Operations Research Analysts use data to improve the efficiency of an organization's operations. They may use Tableau to visualize data and identify trends. This course can help you learn the skills needed to succeed in this role, such as data analysis, visualization, and operations research.

See salaries and explore the career path for Operations Research Analyst

Financial Analyst

Financial Analysts use data to make investment decisions. They may use Tableau to visualize data and identify trends. This course can help you learn the skills needed to succeed in this role, such as data analysis, visualization, and financial modeling.

See salaries and explore the career path for Financial Analyst

Risk Analyst

Risk Analysts use data to identify and assess risks. They may use Tableau to visualize data and communicate their findings to stakeholders. This course can help you learn the skills needed to succeed in this role, such as data analysis, visualization, and risk management.

See salaries and explore the career path for Risk Analyst

User Experience Researcher

User Experience Researchers use data to understand how users interact with products and services. They may use Tableau to visualize data and communicate their findings to stakeholders. This course can help you learn the skills needed to succeed in this role, such as data analysis, visualization, and user research.

See salaries and explore the career path for User Experience Researcher

Supply Chain Analyst

Supply Chain Analysts use data to improve the efficiency of an organization's supply chain. They may use Tableau to visualize data and identify trends. This course can help you learn the skills needed to succeed in this role, such as data analysis, visualization, and supply chain management.

See salaries and explore the career path for Supply Chain Analyst