Upskill with Accord

Data Science & Analytics Training in Singapore

Our courses are designed for organisations in Singapore to bridge the gap between analytics and business, because data is no longer the domain of specialists, but a necessity to boost productivity, efficiency and even revenue. From data analytics and visualisation to machine learning and AI, we customise courses to help meet the learning objectives of participants of all skill levels. Our highly-skilled trainers use an interactive teaching methodology. They incorporate real-world examples, stories and pop-culture references to demystify data.

How you benefit

powerofdate 07

Identify data patterns quicker

powerofdate 08

Improve problem-solving skills

powerofdate 09

Decode & visualise data better

powerofdate 10

Make smarter business decisions

powerofdate 11

Make accurate predictions

powerofdate 12

Align teams within your company

powerofdate 13

Fuel career growth

powerofdate 14

Understand industry trends

How we can help you

Course main page 19

Organisations

An understanding of data at all levels among all stakeholders inspires business growth. Through our data analytics, data visualisation, and machine learning and AI courses, businesses can ensure digital literacy across levels, and forge a data culture that results in transformative strategies, decision-making and operations. Organisations can sponsor an individual or teams for our IBF-accredited foundational data analytics course, or contact us to customise a course to address specific needs.

individual 04

Individuals

Each stage of your career demands a unique skillset of you, but the need for data analytical thinking is constant. Your proficiency in understanding and using data efficiently will help you propel your career to the next level. Get started with our accredited courses, among which, our IBF-accredited workshop, Analytics for Non-analytics Professionals, is the most sought-after one. Individual participants can also request their companies to sponsor them for this course.

Courses we offer

  • Filter
  • All
  • Advanced
  • AI & Machine Learning
  • Basic
  • Customizable courses
  • Data Analytics
  • Data Visualization
  • IBF-accredited
  • Intermediate

Analytics for Non-analytics Professionals (IBF: Level 3)

Level: Basic

This IBF-accredited course introduces professionals to the fundamentals of data analytics via relatable examples. It focuses on practical application, and equipping participants with the techniques and tools needed to effectively use data analytics at the workplace. A 2-day interactive course, it includes activities, practice exercises and brainstorming sessions.

Suitable for: Individuals & Corporates

Duration: 2 Days

Data Analytics – An Overview in Stories

Level: Basic

Learn the fundamentals of analytics through engaging stories.

Suitable for: Corporate teams

Duration: 1 Day

Visual Analytics & Data Storytelling

Level: Intermediate

Master visualising, data analyzing and communicating data using charts and graphs via Tableau, Power BI or Excel.

Suitable for: Corporate teams

Duration: 2 Days

Introduction to Machine Learning and AI

Level: Intermediate

Get an introduction to the principles that drive algorithms of artificial intelligence, machine learning and predictive analytics.

Suitable for: Corporate teams

Duration: 1 Day

Introduction to Predictive Analytics

Level: Advanced

Work on prepared datasets and practise data modelling for predictive analytics through this course on machine learning principles, algorithms and more.

Suitable for: Corporate teams

Duration: 2 Days

Can’t find what you are looking for? Contact us.

Our approach

As the tools needed by various stakeholders differ, our services too are customised to provide relevant knowledge. From awareness talks geared at building data literacy and hands-on sessions with middle management, to facilitation sessions with top management to implement new strategies, our approach covers all levels to drive a digital transformation. It is shaped by the vision of our clients.

approach 15

Introducing the big picture

To build a data-first culture, we hold seminars and talks to promote data literacy and analytics awareness.

approach 16

Laying the right foundations

We conduct training that emphasises on the basics of analytics: clean data collection, using data tools, grouping data, and creating visual representations.

approach 17

Demonstrating how to use data

We teach mid-management how to read data, glean insights from it, identify possible outcomes and ultimately present data in a meaningful manner.

approach Artboard 21

Guiding strategic thinking

We facilitate C-suites of companies to use data insights and build effective strategies, detail workflows and make decisions while minimising the margin of error.

FAQ

What are the real world applications of data analytics?

Data analytics finds its uses across many business verticals. These include retail, industries and manufacturing sectors, healthcare, banking, logistics, technology, etc.

Is data analytics a good career?

Yes, data professionals are in high demand, and the job outlook for data specialists is very positive. With various large companies investing in big data, career prospects in this sector have never been better.

Data analytics are in demand across various industries like insurance, telecom, healthcare, advertising, technology, research and development, etc.

What is predictive analysis?

Predictive analysis is an advanced branch of data science that uses mathematics and statistics to predict the likelihood of an event. It uses historical data to analyse trends and patterns in order to predict outcomes.

Where is predictive analysis used?

Predictive analysis is used by the corporate sector for decision-making, fraud detection, improving their marketing campaigns, optimising operations and risk analysis.

Predictive analysis techniques bring in various positive outcomes for organisations, which may include customer retention, better customer relationships, increased customer lifetime value, etc.

What are the benefits of taking a machine learning and AI course?

AI and machine learning have revolutionised the professional sector. Their benefits include:

  • Reducing human error
  • Automation
  • Higher productivity
  • Better decision making
  • Managing repetitive tasks
  • More personalisation
  • Ability to create new inventions
  • Stronger digital assistance

What are the prerequisites for these trainings and workshops?

The programmes are suitable for both analytics and non-analytics professionals.

What is the difference between data analytics and data visualisation?

Data visualisation creates a graphical and visual representation of data for better perception and easy understanding. 

On the other hand, data analytics is the process of analysing data sets using specialised software and tools. It is used to make informed business decisions.

Will I get a certificate upon completing these courses?

Participants will be presented with a certificate upon successful completion of IBF-accredited courses.