Online Instructor-Led Classes
Data Analytics
Bootcamp
Learn Excel, SQL and Tableau from
expert data analysts in Singapore.
Our Data Analytics course graduates come from industry-leading companies.
Data Analytics skills command a salary premium
Data Analytics is an integral part of every business in Singapore. To thrive in today’s business landscape, it is crucial to learn how to leverage data to make critical business decisions.
Learn industry tools: Excel, SQL and Tableau to analyse big data and create dashboards and visualisations to share your findings.
Our graduates from this Data Analytics course include individuals from GIC, GovTech, LinkedIn, JP Morgan, UBS, Citibank, Oracle, Lazada, ExxonMobil, and more.
Data Analytics Course Details
Vertical Institute’s Data Analytics course in Singapore is designed to equip individuals with the most in-demand skills and best practices in data analytics, covering industry tools: Excel, SQL and Tableau. Participants will culminate their learning by developing a capstone project to solve a real-world big data problem in the fintech industry.
Beginner-Friendly
Upskill with our Data Analytics course without no prior background or experience.
Professional Certificate
Gain an accredited Data Analytics Certification in Singapore.
What to expect?
- Learn new concepts and tools through expert-led lectures, discussions, assignments and project work
- Apply what you’ve learned to create a capstone project solving a real-world data problem
- Dedicated career support and matching with hiring partners New
- Receive individualised feedback and support from your instructional team with free 1-on-1 consultations
- Be part of the VI community where members can leverage connections with alumni, instructors and experts
What to expect?
- Learn new concepts and tools through expert-led lectures, discussions, assignments and project work
- Apply what you’ve learned to create a capstone project solving a real-world data problem
- Receive individualised feedback and support from your instructional team with free 1-on-1 consultations
- Be part of the VI community where members can leverage connections with alumni, instructors and experts
- Dedicated career support and matching with hiring partners New
Course Fee & Government Subsidies
Data Analytics Course Schedules
Choose from our flexible course schedules outside working hours. We have timeslots available on weekday evenings or on weekends.
7 lessons
3 hours each lesson
7 lessons
3 hours each lesson
Online classes
via Zoom
Online classes
via Zoom
1 Instructor,
2-3 Teaching Assistants
1 Instructor,
2-3 Teaching Assistants
Data Analytics Course Curriculum
Pre-Work
As a VI student, you will be given access to online learning materials in our e-learning portal.
To get you ready for learning, this essential pre-work will familiarize you with the basics of the key concepts and tools we will be using throughout the course.
Although you will learn these topics remotely before you arrive in class, you won’t be far away from the resources of the VI community. Make use of our Telegram channel to leverage connections with students, alumni, instructors and experts. At the end of your pre-work, you’ll be ready for the fast pace on campus!
After the course, you can choose to participate in follow-up sessions with your instructor, either in a group and/or individually, included as part of the course fee.
Module 1: Data Analysis & Excel Fundamentals
- Introduction To The Course
- The Data Analysis Process
- Introduction To Data Visualization\
- Pre-attentive vs Attentive Processing
- Good And Bad Visualisation Practices
- Data Referencing, Aggregation And Analysis With Excel\
- VLookup
- Pivot Table
- Pivot Chart
Module 2: Introduction to SQL & Databases
- Introduction To SQL & Databases
- Database Connection
- SQL Syntax
- SQL Aggregation Functions
- Count, Sum, Group By, Having and Where
Module 3: SQL Fundamentals
- Combining Data in SQL
- JOIN Function
- Inner, Outer, Left, Right and Full JOINS
- UNION Function
- Applying SQL Functions
- String, Math & Date Functions
- Using Logic In SQL
- Conditional Expressions
Module 4: Data Visualization Fundamentals
- Introduction To Data Visualization
- Data Visualisation Tools In The Industry
- Introduction to Tableau
- Charts & Table Calculations
- Bar Chart
- Quick Table Calculations
- Line Chart
- Area Chart
Module 5: Data Analysis With Tableau
- Data Analysis Techniques With Tableau
- Segmentation Analysis
- Groups, Sets
- Difference between Groups & Sets
- Combine Sets
- Bins
- Investment Scenario & What-If Analysis
Module 6: Dashboards & Storytelling With Tableau
- Dashboard Creation & Storytelling
- Investment Analysis Dashboard
- Create Maps
- Interactive Dashboards
- Table Calculations
Module 7: Advanced Tableau & Capstone Project
- Advanced Analytics With Tableau
- Data Blending
- Scatter Plot Animation
- Level Of Detail (LOD)
- Tableau Server
- Capstone Project Discussion
The Capstone Project
The individual open-book capstone project will culminate your learning by applying the new tools and concepts learnt to create a portfolio project that includes:
- A summary of the data acquisition, cleaning, and parsing stages.
- A clear visualization or dashboard that displays insights both numerically and graphically.
- A description of high-level insights and resulting actions that are relevant to key stakeholders.
View our alumni portfolio projects.
Instructors
Clarence
Analyst @ Google
Master’s in IT Business (Analytics)
Singapore Management University
Lindsay
Data Analyst @ Foodpanda
Bachelor’s in Mathematical Science
Nanyang Technological University
Beverly
APAC Fraud Lead @ Stripe
Double Bachelor’s in Acc & Biz
Nanyang Technological University
Stan
Data Scientist @ Standard Chartered
Master’s in Computing
National University of Singapore
Zane
Chief Technology Officer @ Worq Health
Masters in Knowledge Engineering, NUS
BEng in Aerospace Engineering, NTU
Sifat
Analytics Consultant @ SIFT Analytics
Bachelor’s in Engineering
Singapore University of Technology & Design
Hong Lin
Head of Business Intelligence @ Ant Financial
M.Sc, Bachelor’s in Engineering
Nanyang Technological University
Job Placement Assistance
Vertical Institute offers Job Placement Assistance to graduates that have successfully completed any of our courses.
Over 1000
hiring partners
Land internship &
industry opportunities
Apply your
new skills learnt
Terms and conditions apply. Find out more.
Funding Support
IBF Standards Training Scheme (IBF-STS)
This programme has been accredited under the IBF Standards, and is eligible for funding under the IBF Standards Training Scheme (IBF-STS), subject to all eligibility criteria being met.
Find out more on www.ibf.org.sg.
Frequently Asked Questions
What is Data Analytics?
“The rise of the digital economy will drive up the demand for tech jobs – among others, we will need data analysts, software developers, infrastructure architects and cyber security engineers.”
– Manpower Minister Tan See Leng, 16 Dec 2021
In today’s digital world, the growth in big data has created a surge in the utilisation of data analytics.
From tech companies to banks – companies and institutions are collecting, storing, and analysing data like never before. Data analysis refers to the process of analysing this information and drawing valuable insights from it. These insights and conclusions can then be further used by businesses to improve their operations.
Data analytics also involves data visualisation – a key process of translating and presenting data through the use of visuals, both static and interactive. It is a powerful tool that makes it easier for researchers to explain their findings and allow readers to better comprehend data trends.
Are there course fee subsidies available?
- P210816IRN – Data Analytics Bootcamp
- P210806QMF – Data Science Bootcamp
- P210802XCG – User Experience Design Bootcamp
- P220722SBE – Digital Marketing Bootcamp
The IBF Standards Training Scheme (“IBF-STS”) provides funding for training and assessment programmes accredited under the Skills Framework for Financial Services.
For our training programmes that are IBF-accredited, eligible Singaporeans & PRs may receive funding support under the IBF Standards Training Scheme (IBF-STS), subjected to all eligibility criteria being met.
For more information on the funding support, please visit: https://www.ibf.org.sg/home/for-individuals/skills-and-jobs-development/training-support/IBF-STS
Can I use SkillsFuture Credits to pay for the remaining course fee after funding?
Yes. For self-sponsored Singaporeans aged 25 years old and above, you can use your SkillsFuture Credit to offset the remaining course fees after IBF funding.
To check your SkillsFuture credit balance, please follow these steps:
- Go to https://myskillsfuture.gov.sg
- Click on ‘Submit SkillsFuture Credit Claims’
- Login with your SingPass
- Click on the arrow (>) at the top right hand corner. You will be able to see a drop-down list of your Available SkillsFuture Credits.
- Please note that our bootcamps are not eligible for “Additional SkillsFuture Credit (Mid-Career Support)’. You will only be able to use available credits from ‘SkillsFuture Credit’ and ‘One-off SkillsFuture Credit Top-Up’.
After you have registered for a course, a VI representative will reach out to guide you with the SkillsFuture Credits claim application.
Can NTUC Union members use UTAP to offset the remaining course fee after funding?
Yes, all our courses are eligible for Union Training Assistance Programme (UTAP) Funding. NTUC Union members can use UTAP to offset 50% of unfunded course fees (capped at $500 per year).
This claim must be done after completion of the course. Please refer to the UTAP FAQ for more information.
Can I use SkillsFuture Credits and UTAP at the same time?
Yes, you can utilize both at the same time. UTAP can only be applied after SFC has been applied.
For illustration purposes only:
Am I eligible for IBF funding support?
The IBF funding support works on a nett fee model. This means that the subsidy is applied upfront, and you will only need to pay the balance course fees after the subsidy. For example, if you are eligible for 70% subsidy, you only need to pay the remaining 30% upfront.
To be eligible, you’ll have to meet the following prerequisites.
For Self-Sponsored:
All Singaporeans or Singapore Permanent Residents (PRs) that are currently residing in Singapore and successfully complete the course will be eligible.
- Be a Singaporean Citizen or PR residing in Singapore
- Minimum of 75% attendance (this means that you must attend at least 6 out of 7 lessons)
- Pass the final assessment
Any balance course fees can be offset using your SkillsFuture Credits & NTUC UTAP funding.
For Company-Sponsored:
- Be from Financial Institutions that are regulated by the Monetary Authority of Singapore (MAS) (either licensed / exempted from licensing) or Fintech companies that are registered with the Singapore Fintech Association.
- Be a Singaporean Citizen or PR residing in Singapore
- Minimum of 75% attendance (this means that you must attend at least 6 out of 7 lessons)
- Pass the final assessment
Are there any pre-requisites for this course?
This program is suitable for beginners with no pre-requisites.
Is there a data analytics certificate granted at the end of the course?
Upon successful completion of this IBF-accredited course, participants will be awarded a data analytics certification recognized by employers in Singapore. VI alumni use their course certificate to demonstrate skills to employers and their LinkedIn network.
Our programmes are well-regarded by top companies, who contribute to our curriculum and use our courses to train their own teams.
What is Tableau?
Tableau is one of the most powerful and fastest growing data visualization tools used in the Business Intelligence industry. It helps in simplifying raw data into easily understandable formats to derive actionable results. It is becoming one of the most useful tools for any business organization.
It has an easy to use drag and drop interface to build beautiful visualizations easily and in a short amount of time. Visit the Tableau Public Gallery to see beautiful real world projects by Tableau users.
What is SQL?
What softwares do I need to download?
In the data analytics course, you will be learning 3 key industry tools: Excel, SQL and Tableau.
The SQL portion will be web-server based, hence no installation is required. You will only need to download Tableau Public, which is free and easy to download.
Your instructional team will guide you step-by-step on the installation process.
What if I cannot attend a class?
If you miss a lesson, you are allowed to attend a makeup class. This would be the corresponding class of another intake that same week, subject to availability. If you cannot make it for the makeup class, then you can simply watch the recorded lesson video.
Your attendance is only counted if you attend a makeup class.
Why are data analytics skills relevant today?
‘Singapore Tech Salaries May Soar Up to 30% in Two Years’ – The Straits Times, 2022
As market competition stiffens, top organisations are turning to data analytics to identify new market opportunities and provide insights to make critical business decisions.
To thrive in today’s business landscape, it is crucial to pick up industry tools such as Excel, SQL, and Tableau. Learn how to analyse and make insightful conclusions from raw data. Develop visualisation skills to create dashboards and effectively share your findings.
With data analytics skills, you will gain an in-demand and marketable skillset that can be applied to virtually any industry or profession.
Kickstart a career in Data Analytics with the beginner-friendly Data Analytics Bootcamp by Vertical Institute. The course allocates 3-4 instructional team members per class to ensure dedicated peer and mentor support for your Data Science journey. You will graduate with an IBF-accredited Data Analytics certification, as well as a polished, portfolio-ready project to showcase your analytical and visualization skills.
Meet Marcella Tang
Currently working at Amazon Web Services (AWS), this course has equipped me with Data Analytics skills needed for my tech career!
Vertical Institute Data Analytics Alumni
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Explore our students’ works
US Insurance
Fraud Analysis
A Data Analytics project by Michelle Eng. Through in-depth research, Michelle explores how to detect insurance fraud cases and reduce unnecessary costs due to fraud.