Tableau Certified Data Analyst | An easy guide to earning a new credential

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Tableau is one of the trending data visualization tools used by different businesses. This software can help you in Data blending, Real-time analysis, and collaboration of data without requiring any specific programming knowledge. The business world is highly dependent upon data management. It is not easy for everyone to learn new programming skills to manage data. Thus, a platform like a Tableau is a great option for Business Intelligence and data analytics.

As different companies count on Tableau to run their business efficiently, the requisite of certified Tableau Professionals is also expanding. This blog is about the Tableau Certified Data Analyst Exam. For us, it’s everyone’s right to get clear insights into the exam details. All the Tableau certification exams are shifted toward closed-book exams. For that, the candidates need to have all the pivotal knowledge of the exam to hit the jackpot. 

Tableau Certified Data Analyst

We have always used Microsoft Excel for small datasets and basic calculations. In the case of heavy datasets, we need efficient data models to analyze them. Tableau acts as a data analytics tool to convert raw business data from different sources into valuable insights. Research has shown that over 62,000 organizations and companies use tableau analytics tools worldwide. These statistics are increasing day by day with the increase in demand for Certified Tableau professionals.

To be a Tableau Certified Data Analyst, one has to ace its certification exam. The certification ratifies your expertise in Tableau Desktop, Tableau Server, and Tableau Prep. These individuals can perform data transformation, connect to data sources, create visualizations, and analyze data. Here is some basic information about the Tableau Certified Data Analyst Exam.

Ideal Candidates for Tableau Certified Data Analyst Exam

The Data Analysts have sturdy knowledge of data mining, gathering, and predictive analytics. A certified Tableau Data Analyst has the following skills:

  • Designing, developing, and deploying Tableau dashboards on various platforms
  • Coordinating with the stakeholders and development team to comprehend the data-driven strategies.
  • Structuring ambiguous problems in a variety of business operations and recommending solutions in the form of visualizations
  • Expertise to create documentation containing business goals, client requirements, technical requirements, and development processes.
  • Collaborating with department managers and stakeholders to create Key Performance Indicators(KPIs) and customized visualizations for detailed analysis
  • Running SQL queries on the databases
  • Automating the key areas of many business processes such as software testing to improve and reduce the time consumption in the developmental processes.

Exam Pattern

  • There will be 30 knowledge-based questions in the MCQs form. 
  • The exam also includes10-11 hands-on lab tasks.
  • There will be 15 unscored questions both knowledge-based and hands-on lab.
  • The passing mark for the exam is 750 scores, which means you must acquire at least 75% marks.
  • The time limit for the exam is 120-minutes.
  • The exam is available in English as well as in Japanese language.

Tableau Certified Data Analyst Cost:

  • The exam registration fee is USD 250, with a rescheduling fee of USD 25. 
  • The Tableau Data Analyst Certification needs annual renewal. There is no cost to maintain this credential.

Tableau Data Analyst Certification Exam Syllabus:

Domain Weightage
Connect to and Transform Data 24%
Explore and Analyze Data 41%
Create Content 26%
Publish and Manage Content on Tableau Server and Tableau Online 9%

1. Connect to and Transform Data

I. Connect to data sources

  • Choose an appropriate data source
  • Connect to relational databases
  • Choose between live connections or extract
  • Replacing the connected data source with another source for an existing sheet
  • Connect to .hyper files (or .tde files)
  • Connect to extracts
  • Connect to spreadsheets
  • Pull data from relational databases by using custom SQL queries
  • Connect to a data source on Tableau Server

II. Prepare data for analysis

  • Assess data quality (completeness, consistency, accuracy)
  • Create extract filters
  • Organize data into folders
  • Perform cleaning operations
  • Using multiple data sources (create joins, establish relationships, union tables, blend data)
  • Preparing data by using Data Interpreter, pivot, and split

III. Perform data transformation in Tableau Prep

  • Choose which data transformation to perform based on a business scenario
  • Perform filtering
  • Combining data by using unions
  • Shape data by using pivots
  • Combining data by using joins
  • Shape data by using aggregations

IV. Customize fields

  • Changing default field properties (types, sorting, etc.)
  • Create aliases
  • Rename columns
  • Choose when to convert between dimensions and measure
  • Choose when to convert between discrete and continuous

2. Explore and Analyze Data

I. Create calculated fields

  • Write date calculations (DATEPARSE, DATENAME…)
  • Write logical and Boolean expressions (If, case, nested, etc.)
  • Write aggregate functions
  • Write number functions
  • Write string functions
  • Write FIXED LOD calculations
  • Write type conversion functions

II. Create quick table calculations

  • Running total
  • Percent of total
  • Percentile
  • Difference and percent of the difference
  • Moving average
  • Compound growth rate

III. Create custom table calculations

  • Year to date
  • Year over year
  • Month to date
  • Ranking
  • Index
  • First–last

IV. Create and use filters

  • Applying filters to dimensions and measures
  • Adding filters to context
  • Configure filter settings including Top N, Bottom N, include, exclude, wildcard, and
  • Applying filters to multiple sheets and data sources

V. Create parameters to enable interactivity

  • With filters
  • In calculations
  • With reference lines

VI. Structure the data

  • Sets
  • Hierarchies
  • Bins
  • Groups

VII. Map data geographically

  • Creating symbol maps
  • Creating density maps – note that “heat maps” and “density maps” are interchangeable terms
  • Creating heat maps
  • Creating choropleth maps (filled maps)

VIII. Summarize, model, and customize data by using the Analytics feature

  • Totals and subtotals
  • Average lines
  • Reference lines
  • Trend lines
  • Reference band
  • Distribution bands
  • Customize a data forecasting model
  • Forecast by using default settings
  • Create a predictive model

3. Create Content

I. Create charts

  • Create basic charts from scratch (bar, line, highlight table, pie, histogram, scatter plot, treemap, data tables, bubbles, Gantt, dual axis, box plots, area, combo)
  • Sort data

II. Create dashboards and stories

  • Combine sheets into a dashboard by using containers and layout options
  • Create stories
  • Add objects

III. Add interactivity to dashboards

  • Apply a filter to a view
  • Add navigation buttons
  • Add filter, URL, and highlight actions
  • Implement user guiding sentences (click…, hover…, menu options)
  • Swap sheets by using parameters or sheet selector

IV. Format dashboards

  • Apply color, font, shapes, styling
  • Add tooltips
  • Add custom shapes and color palettes
  • Remove gridlines,  column-level bands, row-level, and shading 
  • Add annotations
  • Apply padding
  • Apply responsive design for specific device layouts

4. Publish and Manage Content on Tableau Server and Tableau Online

I. Publish Content

  • Publish a workbook
  • Print content
  • Publish a data source
  • Export content

II. Schedule data updates

  • Schedule a Tableau Prep workflow
  • Schedule data extract refreshes

III. Manage Published workbooks

  • Create subscriptions
  • Create alerts

How to prepare for the Tableau Data Analyst Certification exam?

1. Review the Tableau Certified Data Analyst Exam Guide

Before starting your exam preparation, you should understand the objectives of the exam as well as the distribution of each topic.  It will aid in making a proper schedule and discovering critical topics. You can get the whole distribution of topics in the exam syllabus part of this blog. For more details, you can assess Tableau Certified Data Analyst – Exam Guide.

2. Self-Study and E-learning courses.

There are two ways to your exam preparation. One is self-study and the other is enrolling in e-learning courses. Although there is an overabundance of sites that offers different course and preparation for the Tableau Certified Data Analyst exam preparation, we recommend you prefer the study resources provided by the Tableau platform. These resources include:

  1. Tableau Certified Data Analyst Exam Readiness
  2. Tableau Training Pass
  3. Analyst Learning Path

3. Tableau Data Analyst Certification Dumps

Exam preparation is always incomplete without assessment. We recommend you grab valid and authentic dumps that contain original Tableau Certified Data Analyst Exam Questions. Solving these real questions will help you assess your exam preparation as well as your weak points. Moreover, if you practice these dumps in a calm environment, it will provide you with actual exam experience and minimizes your exam stress.

Tableau Data Analyst Market Demand

So many businesses and companies utilize the Tableau platform for their data analysis. Thus, the market demand for Tableau Certified Data Analysts is increasing day by day.

Tableau Certified Data Analyst Jobs:

  • Experimentation- Product Data Analyst, Associate
  • Data Analyst – Remote
  • Data Analyst (SQL, Teraform, Tableau) III – Remote
  • Data Analyst/Tableau SME
  • Data Analyst, IR&A
  • Business Intelligence Data Analyst – Tableau PowerBI Expert (Hybrid – Albany NY)
  • Apprenticeship Data Analyst
  • Data Visualization Analyst
  • Sr. Healthcare Data Analyst – Remote

You can find jobs at Ziprecruiter

Tableau Certified Data Analyst Salary

According to Glassdoor, the annual salary range for a Certified Tableau Data Analyst is $96K-$153K. Taking into note, their average salary is $120,598 per year.

Final Notes

In short, the platform Tableau has beaten excel and other data applications in different areas including, visualizations, capabilities, and interactive dashboards. With the increase in its global utilization, the demand for its certified professionals is also increasing. We have gathered all information about the Tableau Certified Data Analyst. Hope so this blog will help you in every possible way.


Tableau is a great platform that helps you analyze, prepare, collaborate and share your large amount of data. It is an end-to-end data analytics platform that aids people in self-service visual data analysis.

A certified Tableau Data Analyst has a start of a minimum of $95k per year.

Tableau is playing a vital role in data visualization. Thus, the career opportunities for Tableau professionals are also at their peak. Moreover, the certification validates your skills in data analysis and visualization. It will help you land high-paying jobs with requirements for data visualization skills.

Yes, Tableau is a data-related platform that helps you analyze big amounts of data to present it in different formats. For that, all the Tableau-related skills are IT-based skills.

Actually, the answer depends upon your prior Data knowledge and the time you devote to learning Tableau skills. If you spend almost half of your daily time understanding the concepts of the Tableau platform, it will hardly take a month in learning it.

No, Tableau data analyst certification requires no programming skills. The platform helps you analyze large amounts of data without coding.

You can utilize the platform for the following uses: 

  • Business Intelligence
  • Real-time data analysis
  • Data Visualization
  • Data Collaboration
  • To manage large-size metadata
  • To create no-code data queries
  • Query translation into visualization
  • Data Blending
  • To import large sizes of data

The Tableau Product Suite contains 

  • Tableau Desktop
  • Tableau Server
  • Tableau Public
  • Tableau Reader
  • Tableau Online



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