Course Information

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

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

Course Brochure

Certification

  • Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.

Tableau Certified Data Analyst Training

Course Code: C919
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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 →

WSQ Funding

Full Fee 5,600.00 Before GST
GST 504.00 9% of fee
Baseline Nett 3,304.00 SG/PR age 21+ · 50% funded
MCES / SME Nett 2,184.00 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course.

Course Fee

MYR5,600.00

Course Date

Course Time

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.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

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

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

Review

Customer Reviews (6)

Clear and easy to follow 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
Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 07/05/2024)

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