Tableau 2019 + Tableau 2018: Tableau CA Certification 2020 from Udemy

Tableau is a leading tool for data analytics and data visualization. Getting a Tableau Certification will dramatically improve your career prospects because Tableau is like an industry-standard in many fields such as Business Analytics and Business Intelligence.

Tableau Certified Associate Certification is a great way to prove your Tableau knowledge.

In the official Tableau website, there is a curriculum that lists all the topics that you have to know before the certification exam.

This course follows the official Tableau certification curriculum. It covers all the topics that you need to know for the "Tableau Certified Associate Exam"

The course includes :

13 hours of video tutorial.
Quizzes (Hands-on & Theory)
2 Sample exams with video solutions (2 x 36 = 72 Questions)

After completing the video tutorials and taking 2 sample exams you will be 100 % ready for "Tableau Certified Associate Exam"

Don’t you want to get a Tableau certification? No problem at all.

The course is also perfect to learn Tableau. There is no double talk in this course because the structure of the course is crystal clear.

When you complete the course, you will be a Tableau master and you will be able to answer real business questions to generate valuable insights.

In this course, Tableau Desktop version 2019.2 and 2019.1 are used but you can definitely follow the course with Tableau Desktop 10 or Tableau Desktop 9.

DO NOT use Tableau Public.

In the exam, you will use Tableau Desktop, NOT Tableau Public.

Tableau Desktop comes with 14 days trial and this is NOT an excuse to not use Tableau Desktop.

Learn the concepts with Tableau Desktop

Tableau Public is not going anywhere. Tableau Public is free because it has limitations.

You can install Tableau Public when your 14 days Tableau Desktop trial ends.

Please also know that Tableau Desktop is free, if you are a student or academician.

This course is not an official Tableau Course

What's inside

Learning objectives

Exam facts & exam registration
Exam rules & exam environment
Tableau desktop vs. tableau public
Start page, data source page, workspace
Aggregation & granularity
Measure vs. dimension
Continuous vs. discrete
Auto-generated fields
Field type conversion
Text tables - highlight tables
Scatter plot - heat map - tree map
Combined axis chart vs. dual axis chart
Motion chart
Gannt chart
Sparkline
Bullet chart
Box plot
Histogram
Pareto chart
Title & caption
Tool tip
Edit axes
Mark label
Annotation
Hierarchy
Filters : legend, apply worksheets
Context filters & only relevant values
Manual & computed sort
Groups : dimension & measure
Sets: static, dynamic, parameter
Combine sets
Connections : live vs. extract
Extract capabilities
Shadow extracts
Twb, twbx, tds, tdsx, hyper, tde
Connect file & server
Union
Join (left, right, inner, full)
Cross-database join

Blending
Blending vs. cross-database join
Automatic & custom split
Default proporties
Metadata grid & aliases
Data interpreter & pivot
Grand totals & sub-totals
Table calculations (all)
Moving average & running total
Calculated fields
Functions : string, number, date
Functions : conversion, logical
Ratio calculations
Lod calculations theory
Include - exclude - fixed
Order of operations (query pipeline)
Map types
View toolbar
Map layers
Modify locations
Custom geocoding
Custom territories
Background image map
Spatial files
Trend line
Reference line
Reference band
Reference distribution
Forecasting
Statistical summary card
Dashboard objects (all)
Dashboard actions (filter, highlight, url)
Device preview
Dashboard design principles
Publish & share
Story
Exam tricks
Show more
Show less

Exam facts & exam registration
Exam rules & exam environment
Tableau desktop vs. tableau public
Start page, data source page, workspace
Aggregation & granularity
Measure vs. dimension
Continuous vs. discrete
Auto-generated fields
Field type conversion
Text tables - highlight tables
Scatter plot - heat map - tree map
Combined axis chart vs. dual axis chart
Motion chart
Gannt chart
Sparkline
Bullet chart
Box plot
Histogram
Pareto chart
Title & caption
Tool tip
Edit axes
Mark label
Annotation
Hierarchy
Filters : legend, apply worksheets
Context filters & only relevant values
Manual & computed sort
Groups : dimension & measure
Sets: static, dynamic, parameter
Combine sets
Connections : live vs. extract
Extract capabilities
Shadow extracts
Twb, twbx, tds, tdsx, hyper, tde
Connect file & server
Union
Join (left, right, inner, full)
Cross-database join
Blending
Blending vs. cross-database join
Automatic & custom split
Default proporties
Metadata grid & aliases
Data interpreter & pivot
Grand totals & sub-totals
Table calculations (all)
Moving average & running total
Calculated fields
Functions : string, number, date
Functions : conversion, logical
Ratio calculations
Lod calculations theory
Include - exclude - fixed
Order of operations (query pipeline)
Map types
View toolbar
Map layers
Modify locations
Custom geocoding
Custom territories
Background image map
Spatial files
Trend line
Reference line
Reference band
Reference distribution
Forecasting
Statistical summary card
Dashboard objects (all)
Dashboard actions (filter, highlight, url)
Device preview
Dashboard design principles
Publish & share
Story
Exam tricks
Show more
Show less

Syllabus

A. Introduction (Don't Skip)

Goal & Course Structure

Udemy 101: Know the platform

It is NOT Rocket Science!

Resources

B. Exam & Tool

Section Intro

B.1 Facts

B.2 Registration

B.3 Rules & Environment

B.4 Tableau "Desktop" - Not Public

B.5 Tableau Desktop Installation (Exam Version 2020.1)

B.5 Exam & Tool

C. Fundamentals

C.1 UI: Start Page

C.2 UI: Data Source Page

C.3 UI: Workspace Area I

C.4 UI: Workspace Area II

C.5 Basic View (Date Hierarchies & Filters)

C.6 Measure Aggregation

C.7 Dimension Aggregation

C.8 Average Function

C.9 Granularity

C.10 Show Me

C.11 Fundamentals

C.12 Hands - On

D1. Field Types < 15%

D1.1 Discrete vs. Continuous (Theory)

D1.2 Discrete vs. Continuous (Practice)

D1.3 Dimensions (Discrete OR Continuous)

D1.4 Measures (Discrete OR Continuous)

D1.5 Auto-generated Fields

D1.6 Measure Names & Measure Values

D1.7 Fields Conversion

D1.8 Quiz

D1.9 Hands - On

D1.10 Hands On - Solutions

D2. Chart Types < 15%

D2.1 Text Table (Cross Tab = Pivot Table)

D2.2 Highlight Table

D2.3 Scatter Plot

D2.4 Heat Map (Scatter Plot)

D2.5 Tree Map

D2.6 Bar in Bar Chart

D2.7 Combined Axis Chart (Shared Axis Chart)

Combined Axis Chart = Shared Axis Chart

Dual Axes Chart = Combination Chart

Combo Chart = Dual Axis Chart with different mark types

D2.9 Motion Chart I

D2.10 Motion Chart II

D2.11 Gannt Bar Chart

D2.12 Sparkline

D2.13 Bullet Chart

D2.14 Boxplot

D2.15 Histogram & Bins I

D2.16 Histogram & Bins II (Advanced)

D2.17 Pareto Chart (Advanced)

D2.18

D2.19 Hands - On

D2.20 Hands On - Solutions

D3. Cosmetics < 15%

D3.1 Title & Caption

D3.2 Tooltip

D3.3 Edit Axes

D3.4 Mark Label

D3.5 Annotation

D3.6

D3.7 Hands - On

D3.8 Hands - On Solutions

E. Organize & Simplify Data = 10%

E.1 Hierarchy

E.2 Filter I (Basics)

E.3 Filter II (Filter Legend)

E.4 Filter III (Apply to Worksheets)

E.5 Filter IV (Only Relevant Values)

E.6 Filter V (Context Filter)

E.7 Manual Sort & Computed Sort

E.8 Group I (Dimensions)

E.9 Group II (Dimensions)

E.10 Group III (Measures)

E.11 Set I (Static)

E.12 Set II (Dynamic)

E.13 Set III (Dynamic Set with a Parameter)

E.14 Sets IV (Combined Sets)

E.15

E.16 Hands - On

E.17 Hands - On Solutions

F1. Connection Options < 17%

F1.1 Live vs. Extract I

F1.2 Live vs. Extract II

F1.3.1 Extract Capabilities

F1.3.2 Multiple Table Extracts - Must Know!

F1.3.3 Multiple Table Extracts - Good to Know!

F1.4 Shadow Extracts

F1.5 Save Workbook ( .twb or .twbx ) I M P O R T A N T

F1.6 Save Data Source (.tds or .tdsx)

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Prepares learners to take the Tableau Certified Associate Certification exam

Covers all the topics required to be successful in the exam

Includes video tutorials, quizzes, and sample exams

Provides hands-on learning experiences through interactive exercises

Instructors have industry experience and expertise

Requires use of Tableau Desktop, which may require a separate subscription

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 CA Certification 2020 with these activities:

Connect with a Tableau Expert

Show steps

Reach out to a Tableau expert for guidance and mentorship, gaining valuable insights and support for your learning journey.

Browse courses on Data Visualization

Show steps

Identify a Tableau expert in your network or online.
Reach out and request a mentorship relationship.
Schedule regular meetings or connect via email.

Write a Blog Post About Tableau

Show steps

Write a blog post that shares your knowledge and insights about Tableau, reinforcing your learning and helping others understand the software.

Browse courses on Tableau

Show steps

Choose a topic related to Tableau that you're knowledgeable about.
Research and gather information about the topic.
Write a blog post that is clear, concise, and informative.
Share your blog post with others.

Create a Data Visualization Dashboard

Show steps

Apply your Tableau skills to create a data visualization dashboard that addresses a real-world business problem, reinforcing your learning and showcasing your abilities.

Browse courses on Tableau Dashboard

Show steps

Identify a business problem or question that you can address with data visualization.
Gather and prepare the necessary data.
Create a Tableau dashboard that visualizes the data and provides insights.
Share your dashboard with others and gather feedback.

Show all three activities

Career center

Learners who complete Tableau 2019 + Tableau 2018: Tableau CA Certification 2020 will develop knowledge and skills that may be useful to these careers:

Business Analyst

Business Analysts leverage data and analytical techniques to provide insights that drive business decisions. This course can be a valuable asset for those pursuing a career as a Business Analyst, as it covers Tableau, a key tool for data visualization and analysis in business settings. By gaining proficiency in Tableau, learners can enhance their ability to analyze data, identify opportunities, and make recommendations that positively impact business outcomes.

See salaries and explore the career path for Business Analyst

Data Analyst

A Data Analyst plays a pivotal role in making sense of complex data by extracting valuable insights, identifying trends, and presenting findings to help organizations make informed decisions. This course may be useful for aspiring Data Analysts, as it provides a comprehensive understanding of Tableau, a leading data visualization tool widely used in the field. By mastering the skills taught in this course, individuals can develop a strong foundation for a successful career in data analysis.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists combine statistical and analytical skills to extract meaningful insights from data. This course may be useful for Data Scientists, as Tableau is a powerful tool for visualizing and communicating data insights. By learning Tableau, Data Scientists can effectively present their findings to stakeholders, facilitating informed decision-making.

See salaries and explore the career path for Data Scientist

Financial Analyst

Financial Analysts use financial data to make informed investment decisions. Tableau is widely used in the financial industry for data visualization and analysis. This course can provide Financial Analysts with the skills to leverage Tableau effectively, enabling them to gain deeper insights into financial data, identify market trends, and make sound investment recommendations.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

Operations Research Analysts use mathematical and analytical methods to improve organizational efficiency. This course can be useful for aspiring Operations Research Analysts, as Tableau is used to visualize and analyze data related to operations, such as supply chain management, inventory optimization, and scheduling. By gaining proficiency in Tableau, learners can enhance their ability to identify inefficiencies and develop data-driven solutions.

See salaries and explore the career path for Operations Research Analyst

Market Research Analyst

Market Research Analysts gather and analyze market data to understand consumer trends and preferences. This course can be beneficial for Market Research Analysts, as Tableau is a powerful tool for visualizing and presenting market research data. By mastering Tableau, Market Research Analysts can effectively communicate insights to clients and stakeholders, helping businesses make informed decisions.

See salaries and explore the career path for Market Research Analyst

Management Consultant

Management Consultants advise organizations on business strategies and operations. This course can be beneficial for Management Consultants, as Tableau is a valuable tool for data visualization and analysis in consulting engagements. By mastering Tableau, Management Consultants can effectively communicate insights to clients, helping them make informed decisions and improve their performance.

See salaries and explore the career path for Management Consultant

Database Administrator

Database Administrators manage and maintain databases, ensuring their availability and performance. This course may be useful for aspiring Database Administrators, as Tableau connects to various data sources, including databases. By learning Tableau, Database Administrators can gain insights into data usage and identify opportunities for performance optimization.

See salaries and explore the career path for Database Administrator

Information Architect

Information Architects design and manage enterprise information systems. This course can be beneficial for Information Architects, as Tableau is used to visualize and analyze data from multiple sources. By mastering Tableau, Information Architects can gain a deeper understanding of data relationships and create effective data structures, ensuring efficient information retrieval and analysis.

See salaries and explore the career path for Information Architect

Web Analyst

Web Analysts track and analyze website traffic to improve user experience and optimize marketing campaigns. This course can be useful for Web Analysts, as Tableau is a powerful tool for visualizing and analyzing website data. By learning Tableau, Web Analysts can gain insights into user behavior, identify trends, and make data-driven recommendations to enhance website performance.

See salaries and explore the career path for Web Analyst

Financial Risk Analyst

Financial Risk Analysts assess and manage financial risks in organizations. This course can be useful for aspiring Financial Risk Analysts, as Tableau is used to visualize and analyze financial data. By learning Tableau, Financial Risk Analysts can gain a deeper understanding of risk factors and develop strategies to mitigate potential losses.

See salaries and explore the career path for Financial Risk Analyst

Quantitative Researcher

Quantitative Researchers develop and apply mathematical and statistical models to analyze financial data. This course can be useful for aspiring Quantitative Researchers, as Tableau is used to visualize and analyze large datasets. By mastering Tableau, Quantitative Researchers can gain insights into financial trends and develop sophisticated trading strategies.

See salaries and explore the career path for Quantitative Researcher

Actuary

Actuaries use mathematical and statistical techniques to assess risk and uncertainty in various fields, such as insurance, finance, and healthcare. This course may be useful for aspiring Actuaries, as Tableau is used to visualize and analyze data related to risk and uncertainty. By learning Tableau, Actuaries can effectively communicate their findings and develop data-driven solutions to mitigate risks.

See salaries and explore the career path for Actuary

Software Engineer

Software Engineers design, develop, and maintain software systems. This course may be useful for Software Engineers who want to enhance their data visualization skills. By learning Tableau, Software Engineers can effectively communicate data insights to stakeholders and improve the user experience of their software applications.

See salaries and explore the career path for Software Engineer

Data Engineer

Data Engineers design and build data pipelines and systems to manage and analyze large datasets. This course may be useful for aspiring Data Engineers, as Tableau connects to various data sources and can handle large volumes of data. By learning Tableau, Data Engineers can gain insights into data quality and identify opportunities for data integration and optimization.

See salaries and explore the career path for Data Engineer