Data Analytics Course Details

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 familiarise 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.

Tutorials:

• Introduction To The Course
• The Data Analysis Process
• Introduction To Data Visualisation
  • Pre-attentive vs Attentive Processing
  • Good And Bad Visualisation Practices
• Data Referencing, Aggregation And Analysis With Excel\
  • VLookup
  • Pivot Table
  • Pivot Chart

• Introduction To SQL & Databases
• Database Connection
• SQL Syntax
• SQL Aggregation Functions
  • Count, Sum, Group By, Having and Where

• 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

Tutorials:

• Introduction To Data Visualisation
• Data Visualisation Tools In The Industry
• Introduction to Tableau
• Charts & Table Calculations
  • Bar Chart
  • Quick Table Calculations
  • Line Chart
  • Area Chart

• Data Analysis Techniques With Tableau
• Segmentation Analysis
  • Groups, Sets
  • Difference between Groups & Sets
  • Combine Sets
  • Bins
• Investment Scenario & What-If Analysis

• Dashboard Creation & Storytelling
• Investment Analysis Dashboard
• Create Maps
• Interactive Dashboards
• Table Calculations

• Advanced Analytics With Tableau
  • Data Blending
  • Scatter Plot Animation
  • Level Of Detail (LOD)
  • Tableau Server
• Capstone Project Discussion

Participants will be required to address a data-related problem using a real-world dataset. You will acquire a real-world dataset, then prepare, clean, and analyse it to draw meaningful conclusions.

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 visualisation 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.

Data analytics encompasses the systematic process of collecting, transforming, organising, analysing, and interpreting data to derive meaningful insights that enable enhanced decision-making. This intricate field employs a myriad of techniques and tools, necessitating that data analysts possess robust knowledge of statistics, machine learning, and predictive modeling. While data analytics stands as a potent resource for businesses, it is imperative to wield it ethically and responsibly.

Below are some of the salient benefits that data analytics can bestow upon businesses:

Enhanced Customer Service:

Data analytics allows businesses to discern customer trends and preferences, empowering them to refine and elevate their customer service initiatives.

Streamlined Operations:

Through data analytics, businesses can pinpoint areas ripe for improvement within their operations—whether that involves cost reduction or boosting efficiency.

Informed Strategic Decisions:

Data analytics aids businesses in making astute strategic decisions, such as recognising emerging market opportunities or evaluating the potential risks associated with launching a new product.

Competitive Edge:

Data analytics can furnish businesses with unique insights, granting them an edge over competitors who lack access to such valuable information.

“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

Yes, you can receive up to 70% funding support from The Institute of Banking & Finance (IBF) for our IBF-accredited programmes. The balance course fees (after subsidy) can be offset using your SkillsFuture Credits or NTUC UTAP funding.

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

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:

1. Go to https://myskillsfuture.gov.sg
2. Click on ‘Submit SkillsFuture Credit Claims’
3. Login with your SingPass
4. 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.
5. 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.

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.

Yes, you can utilise both at the same time. UTAP can only be applied after SFC has been applied.

For illustration purposes only:

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 physically based in Singapore and successfully complete the course will be eligible.

• Be a Singaporean Citizen or PR based 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 physically based in Singapore
• Minimum of 75% attendance (this means that you must attend at least 6 out of 7 lessons)
• Pass the final assessment

We offer interest-free instalment plans to ensure tech education is accessible to all Singaporeans and PRs. You may reach out to our admissions team for more information via:

Email: [email protected]
Phone: 6950 7023

This program is suitable for beginners with no pre-requisites.

Upon successful completion of this IBF-accredited course, participants will be awarded a data analytics certification recognised 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.

Tableau is one of the most powerful and fastest growing data visualisation 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 organisation. 

It has an easy to use drag and drop interface to build beautiful visualisations easily and in a short amount of time.  Visit the Tableau Public Gallery to see beautiful real world projects by Tableau users.

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.

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.

‘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 visualisation skills.