Analytics for Non-analytics Professionals
IBF-Accredited Data Analytics Training
This IBF-accredited course introduces professionals without an analytics background to the fundamentals of data analytics, and establishes the relevance of data in business thinking. It facilitates learning through case studies and engaging examples as well as activities and exercises.
Course Details: Analytics for Non-analytics Professionals
Level: Basic
Our data analytics workshop offers an introduction to the world of data through relatable and engaging examples, stories and case studies. It focuses on practical application, equipping participants with the techniques and tools needed to effectively use data analytics at the workplace.
A 2-day, interactive course, Analytics for Non-analytics Professionals includes activities, practice exercises and brainstorming sessions. Day 1 features a hands-on session on how to use tables in Excel to analyze large datasets quickly. Day 2 focuses on understanding and applying regression, a popular and versatile predictive analytics technique.
On successful completion of the course and the final assessment, participants receive a Certificate of Completion, and the eligible sponsoring company will receive a Training Allowance Grant (SGD 10/hour, per participant).
This course is ideal for:
- Those who are new to data analysis
- Banking, finance and FinTech professionals
- Managers and directors
- Those who make critical business decisions
This data analytics course is designed to help you:
- Understand what is data analytics, types of data analytics and their guiding principles
- View examples of application of analytics across functions and industries
- Learn the 6 key steps to analytical decision making
- Familiarize yourself with common techniques used in predictive analytics
- Perform data analysis using Microsoft Excel (including pivot tables and other Excel functions)
- Create basic dashboards in Excel using pivot tables, charts and slicers
- Perform regression using Excel for predictive analytics on case studies
- Identify opportunities for the application of analytics within your organization
- Learn about global analytics trends and how they are impacting the world
DAY 1
Module 1: What is data analytics
- Overview of data analytics
- Classification of data analytics
Module 2: Analytics in action
- Applications of analytics
- When analytics cannot be applied
Module 3: Framework for analytical decision making
- The 6-step framework for analytical decision making
Module 4: Understanding data and its tools
- Statistical techniques and data analysis
- Data analysis using pivot tables and Excel
DAY 2
Module 5: Introduction to predictive analytics
- Principles of predictive modelling and machine learning
- Common applications of predictive analytics
Module 6: Regression with MS Excel
- Simple linear regression
- Multiple linear regression
Module 7: Case study analysis and presentation
- Case study analysis
- Communicating insights through data visualization
Module 8: The future of analytics and trends
- How analytics impacts organizations
Fee structure
| DETAILS | SELF-SPONSORED PARTICIPANT |
COMPANY- |
|---|---|---|
| Course fee | SGD 1,308 w/GST | SGD 1,308 w/GST |
| Net fee payable with subsidy (for Singapore Citizens aged 40 and above employed in the banking and finance industry) |
SGD 468 w/GST (70% subsidy*) |
SGD 468w/GST (70% subsidy*) |
| Net fee payable with subsidy (for Singapore Citizens aged <40 and PRs employed in the banking and finance industry) |
SGD 708 w/GST (50% subsidy*) |
SGD 708 w/GST (50% subsidy*) |
| Validity Period | From 1 Jan 2024 | From 1 Jan 2024 |
This course is also available as customised in-house training for corporate teams in any industry. Contact us about pricing and other details.
Subsidy does not include GST
IBF Standards Training Scheme (IBF-STS)
Analytics for Non-analytics Professionals is an IBF accredited data analytics course. It qualifies for funding under the IBF Standards Training Scheme (IBF-STS funding), subject to participants meeting all eligibility criteria.
Who is eligible for funding?
- Individuals
Those who aren’t sponsored by a company, but are Singapore citizens or Singapore Permanent Residents physically based in Singapore who are employed in the banking and finance industry. Here, employers refer to financial institutions regulated by MAS (either licensed or exempted from licensing) and FinTech companies registered with Singapore FinTech Association.
- Company-sponsored individuals
Singapore Citizens or Permanent Residents, physically based in Singapore, can be company-sponsored participants. Here, company sponsors refers to financial institutions regulated by MAS (either licensed or exempted from licensing) and FinTech companies registered with Singapore FinTech Association.
For more information on funding, visit www.ibf.org.sg
Upcoming Sessions
Course Information
Type of participants
Individual / Company-sponsored
Course prerequisites
Basic knowledge of MS Excel
Before subsidy
SGD 1,308 w/GST
After 70% IBF subsidy
– Singapore Citizens and PRs employed in the banking and finance industry
SGD 468 w/GST
After 50% IBF subsidy
– Singapore Citizens aged 40 and above employed in the banking and finance industry
SGD 708 w/GST
Accreditation
By IBF
Funding
Subject to eligibility
Next session
TBA
Timing
TBA
Course type
TBA
Making a difference
“In this course, data analytics was always explained in a business context, rather than technical. Many of the data analytics courses in the market are too focused on statistics and technical that business people get lost. There was also sufficient hands-on practice to experience pivot table and tableau.”
“Trainer started with a good storyline and kept us hooked for both days with great interest! There was good segregation of learning content, and the presentation slides and delivery were professional and impressive. Examples in each segment were relatable and practical. Emphasis was given to learning than assessment and completion on content.”
“It is a very interesting course that gives participants an overview of data analytics. It got me thinking on the areas in my current scope of work that can potentially use data analytics and how to go about doing it.”
“Instructor is engaging and very experienced. Thoroughly enjoyed the course through some meaningful hands-on exercises and deep learning. Recommend that all officers should attend this course as a basic intro to data analytics. Thumbs up!”
“I’m not new to DA but it’s a good refresher for me, in fact I managed to learn more than what I expected initially. Trainer was great, content was relevant, engagement was there, overall great, great course.”
“Examples given by trainer on organisations using data analytics to help in their business growth was very good.”
“Virtual format allows participants more space to learn on their own, and at the same time use of breakout rooms, annotate on screen, online survey questions, allows interaction and staying engaged.”
“Trainer is able to explain the concepts clearly and simply. It makes it easier to understand concepts that may otherwise be difficult to understand.”
“For courses requiring the use of software, having it held virtually might be more friendly as it allows sharing of screen to facilitate discussions.”
“Very layman friendly. Made analytics and statistics concepts easy to understand.”
FAQ
What is data analytics?
Who should attend this data analytics course in Singapore?
This course at Accord is ideal for candidates who are completely new to the world of data analytics. It is suitable for and can be customised for employees of all levels within an organisation (from junior executives to senior business managers).
What are the prerequisites for this course?
Will I get a data analytics certificate upon completing the course?
What is the difference between data analysis and data analytics?
Data analysis includes the collection and examination of raw data, whereas data analytics is the science of using analysis reports to draw meaningful conclusions and business decisions.
Is coding required for a data analytics course for beginners?
What kind of software do Data Analysts work with?
