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Full Tableau Training

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner to Intermediate
  • 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 Desktop Intermediate Training

Course Code: C469

355 Review(s) | Add Your Review

What's This Course About

Embark on an enlightening journey into the realm of Tableau, a leading tool for data visualization and business intelligence. This Full Tableau Training is meticulously designed to bridge the gap between data potential and actionable insights. Learn the intricacies of Tableau Worksheets, harness the dynamism of Tableau Dashboard & Story, and delve deep into data organization techniques such as Filters, Groups, and Sets.

From connecting to diverse data sources to mastering advanced techniques like Field Calculation, Parameters, and Level of Expressions, this course ensures you’re well-equipped. Moreover, elevate your data stories with Map Visualization and understand the nuances of Data Join and Pivot. With hands-on exercises and expert-led content, realize the complete capabilities of Tableau, turning raw data into compelling visual narratives.

Funding and Grant Applications

No funding is available for this course.

For WSQ funding, please checkout the details at WSQ – Data Visualisation with Tableau

Course Fee

$600.00 (GST-exclusive)
$654.00 (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

Topic 1. Basic Tableau Features

Overview of Tableau

Explore Tableau Interface

Dimension and Measure

Continuous and Categorical Data

Create Folder and Hierarchy

Topic 2. Data Prep & Visualization

Data Sources & Extract

Data Join & Blending

Create Views from Data

Aggregations

Topic 3 Data Transformation

Data Interpreter

Split & Merge Fields

Pivot Data

Filter Data

Organize Data by Group & Set

Topic 4 Dashboard and Story

Create a Dashboard

Add Dashboard Actions

Create a Story

Topic 5 Calculation & Parameter

Create Calculated Fields

Filter By Parameter

Add Calculation to Parameter

Dynamic View

Topic 6. Data Analytics

Reference Line

Average Line

Trend Line

Forecast

Clustering

Topic 7. Level of Expression

Level of Expression (LOD)

Fixed LOD

Include LOD

Exclude LOD

Topic 8. Map Analytics

Map Basics

Map Services

Integrating Mapbox Styles to Map

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: 21-65 years old

Minimum Software/Hardware Requirement

Software: 

You can download and install the following software:

You can also sign up a free Tableau Public account

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Data Analyst
  • Business Intelligence Analyst
  • Data Scientist
  • Data Visualization Designer
  • Business Analyst
  • Product Manager
  • Marketing Analyst
  • Data Journalist
  • Research Scientist
  • Project Manager
  • Data Consultant
  • Strategy Analyst
  • Operations Analyst
  • Financial Analyst
  • Customer Insights Analyst

Trainers

Trainers

Dwight Nuwan Fonseka

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.

Review

Customer Reviews (355)

will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
There are certain topics that require more in-depth explanation and practices. This course warrants probably 2.5-3 days (Posted on 2/16/2020)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 2/13/2020)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 2/4/2020)
might recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
There was one student who was very late and the lecturer have to redo what he have taught again.
So our lunchtime was shorten to only 30 mins because of her. I came in little late so I politely ask where have they stop. The lecturer didn’t answer instead the student answer in spite since I have known vba it’s easy for me and I do not need to listen to the class. The worse part the lecturer didn’t stop her. A few moment later he say the same thing as her to me.
After that I was too piss off to speak in the whole lecture. I didn’t say anything rude or interrupt the class before neither.
Student can come from all kinds of background and lecturer need to respectful and create respectful environment.

Lecturer need to respectful and create respectful environment. Student who are late for more than 30 mins the class should not wait for lecturer repeat everything for this 1 person.

Please respect other students and your time. If they do not respect your time please do not drag the whole class for 1 student. it very unfair to other who came in early.

Lecturer also need to respect people who came from different background and becareful of their speech. It’s sound like boyscott to me and I find it very offended. (Posted on 1/22/2020)
might recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The course is informative but I feel the time is tight. It should start at 9am or 9.30am.

Trainer should give toilet breaks in between the course.This is also the time where students can also have a breather to regroup and rethink what they learnt. (Posted on 1/20/2020)

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