Course Information

  • Sessions 4 days
  • Duration 30 hrs
  • Level Beginner
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Tableau Certified Data Analyst Training

Course Code: C919

What's This Course About

The Tableau Certified Data Analyst Exam Prep course is meticulously designed to equip aspiring data professionals with the expertise needed to excel in the Tableau Certified Data Analyst exam. This intensive program delves into essential Tableau functionalities, including connecting to diverse data sources, data preparation, crafting interactive visualizations, and developing dynamic dashboards. Through a blend of theoretical knowledge and practical application, participants will gain the confidence to effectively analyze and interpret data, leveraging Tableau's powerful tools.

Recognizing the unique challenges faced by small businesses, this course offers actionable strategies tailored to optimize data analysis and visualization within limited budgets and resources. Stay updated with the latest industry practices and enhance your ability to make data-driven decisions that can propel business growth.

Bonus: Free Practice Exams

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

Start Practising →

Funding Options

No funding is available for this course.

Course Fee

$1,200.00 (GST-exclusive)
$1,308.00 (GST-inclusive)

Course Date

Course Time

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Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

This course prepares you for the TDA-C01 certification exam, covering all official exam domains and their approximate weightings:

Domain 1 Domain 1: Connect to and Transform Data (24%)

  • Connect to data sources: choose appropriate source, live vs extract, relational databases, spreadsheets, .hyper/.tde files, custom SQL queries, Tableau Server data sources
  • Prepare data for analysis: assess data quality (completeness, consistency, accuracy), perform cleaning operations, organize data into folders
  • Use multiple data sources: establish relationships, create joins, union tables, blend data; use Data Interpreter, pivot, split; create extract filters
  • Perform data transformation in Tableau Prep: unions, joins, aggregations, filtering, pivots based on business scenario
  • Customize fields: change default field properties, rename columns, convert discrete/continuous and dimension/measure, create aliases

Domain 2 Domain 2: Explore and Analyze Data (41%)

  • Create calculated fields: date calculations (DATEPARSE, DATENAME), string functions, logical/Boolean expressions, number functions, type conversion, aggregate functions, FIXED LOD calculations
  • Create quick and custom table calculations: moving average, percent of total, running total, percentile, compound growth rate, year-to-date/month-to-date/year-over-year, index, ranking, first-last
  • Create and use filters: apply to dimensions/measures, configure Top N/Bottom N/include/exclude/wildcard/conditional, context filters, apply across multiple sheets and data sources
  • Create parameters to enable interactivity in calculations, filters, and reference lines
  • Structure the data using sets, bins, hierarchies, and groups
  • Map data geographically (symbol, heat, density, choropleth/filled maps) and use the Analytics feature (totals/subtotals, reference lines/bands, trend lines, forecasting, predictive models)

Domain 3 Domain 3: Create Content (26%)

  • Create basic charts from scratch (bar, line, pie, highlight table, scatter plot, histogram, tree map, bubbles, Gantt, box plot, dual axis, combo) and sort data including custom sort
  • Create dashboards and stories: combine sheets using containers and layout options, add objects, create stories
  • Add interactivity to dashboards: filter/URL/highlight actions, sheet swapping via parameters or sheet selector, navigation buttons, user-guiding sentences
  • Format dashboards: apply color/font/shapes/styling, custom shapes and color palettes, annotations, tooltips, padding, gridline/banding removal, responsive design for device layouts

Domain 4 Domain 4: Publish and Manage Content on Tableau Server and Tableau Online (9%)

  • Publish content: publish a workbook, publish a data source, print content, export content
  • Schedule data updates: schedule data extract refreshes, schedule a Tableau Prep workflow
  • Manage published workbooks: create alerts, create subscriptions

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Data Analyst
  • Business Intelligence Analyst
  • Data Visualization Specialist
  • Tableau Developer
  • Reporting Analyst
  • Analytics Consultant
  • Data Scientist
  • Information Analyst
  • Data Management Specialist
  • Business Analyst
  • Decision Support Analyst
  • Data Quality Analyst
  • Data Governance Specialist
  • Database Analyst
  • Data Architect
  • ETL Developer
  • Data Operations Analyst
  • Data Strategy Analyst
  • Data Compliance Analyst
  • Data Security Analyst

Trainers

Trainers

Dr. Alvin Ang is a ACTA certified trainer. Dr. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally.

Dwight Nuwan Fonseka is Head of Data Science at Plano Pte. Ltd. and an ACLP-certified trainer with deep expertise in data analytics, machine learning, and AI applications. He has extensive hands-on experience developing predictive models, RShiny dashboards, and deep learning solutions using R, Python, TensorFlow, and Keras. With a strong professional background in healthcare, finance, and customer analytics, Dwight brings an applied perspective to teaching AI, focusing on both the opportunities and risks of emerging technologies.
Terence Ee is an experienced IT leader and consultant with more than 25 years of expertise in technology management, information systems, and digital transformation. He has served as Chief Information Officer at the Supreme Court of Singapore and Vice President of Information Systems at Senoko Energy, where he led major IT modernization projects. Since 2017, he has worked as an independent consultant and ACLP-certified trainer, specializing in guiding SMEs and enterprises in adopting future-ready digital platforms. As a WSQ-accredited trainer, Terence delivers programs in digital collaboration, IT governance, and productivity tools. His facilitation emphasizes case studies, simulations, and hands-on practice, enabling learners to apply modern IT systems such as Microsoft 365 and Google Workspace to improve collaboration and business efficiency. With his leadership background and deep IT expertise, Terence prepares learners to thrive in digitally transforming environments.

Review

Customer Reviews (2)

Thanks. This is good training and get more knowledge and skill Review by Course Participant/Trainee
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I think this it better already
Thanks. This is good training and get more knowledge and skill
(Posted on 1/6/2024)
Excellent course for both professional junior and senior networkers Review by Course Participant/Trainee
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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
A 5-star course content for both professional senior and junior network infrastructure networkers. Informative and joyful class by Truman Ng. (Posted on 7/19/2019)

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