Data analytics can help companies identify hot trends, predict customer behaviour and make wiser business decisions. With an excellent information technology infrastructure, and global connectivity, Singapore is able to host and process huge volumes of real-time data - thus data analytics has been identified as an important sector for growth. Our courses below will provide you with updated and relevant skills to take on a data analyst specialist role.
2 days
Beginner
This course equips participants with skills and knowledge to conduct basic data analysis and present data more effectively.
Intermediate
The course introduces the fundamental concepts and principles of text analytics.
1 day
Struggling with unreliable data and complex analysis? This workshop on Generative AI for Data Analytics helps you overcome these challenges by enhancing data quality and interpretation. Learn hands-on techniques to make your analysis faster, more accurate, and insightful, while mitigating risks. Transform your data into clear, actionable insights with AI.
An introduction to the basics of data analysis, participants will learn how to apply various analytical techniques to interpret data.
4 days
This course covers the foundation of data wrangling and data analysis. Participants will be able to create effective visualisation charts, interactive dashboards and compose data-driven stories.
This course equips participants with the skills and knowledge to clean, shape and synthesise data, in preparation for data-driven business decision making.
This course allows participants to create compelling presentations and insights using real-world data using Tableau.
Advanced
In this course, participants will learn how to translate data quickly into essential analytical insights using Tableau.
3 days
This course covers data analysis for creating impactful visualisation from the data set. It also covers key elements of effective dashboard for exploratory and explanatory analysis.
This course will enable participants to turn granular data and present it in a visually-compelling manner using Microsoft Power BI desktop.
This course equips participants with techniques and knowledge on descriptive and diagnostic analytics.
2.5 days
Take your Power BI expertise to the next level with Data Analysis Expressions (DAX) and innovative analytics, including Quick Insights and AI-driven insights. Elevate your reports with dynamic Power BI interactivity functions and master the art of configuring and securely deploying Power BI assets for enhanced data sharing and collaboration.
This course is for participants who has a basic understanding of Python, and wish to delve into data science and analytics using Python.
This course equips participants with the knowledge and skills to prepare data, conduct data analysis, create effective visualisation and interactive dashboards, and build machine learning services using Microsoft Excel, Tableau and various code-free tools and platforms.
Tired of manual data cleaning and repetitive Excel tasks? Our 2-day short course on Data Analytics with Power Query and Excel will help you transform, clean, and combine data efficiently. Learn to improve your data analysis skills and create interactive dashboards with PivotTables and PivotCharts. Automate and streamline your data tasks with ease!
1 hour
This micro course introduces methods for investigating trends, patterns and relationships in quantitative data.
1 hour 30 minutes
This module equips participants with the capabilities to transform and analyse textual content. Participants will learn and apply text analytics concepts to process textual content using natural language processing techniques. Various tools used in the industry for text analytics will also be discussed.
This module teaches participants to analyse and visualise data for effective business decision making. Participants will be trained to extract and cleanse data, conduct data analyses, interpret results, apply visualisation and more.
This module aims to equip participants with a comprehensive foundation on data mining processes and algorithms. Participants will also learn how to resolve business problems by looking into the cycle of business understanding, data preparation, and data modelling.
This module aims to equip participants with the capabilities needed for business analytics. Participants will be equipped with the skills and knowledge to run analysis for various purposes.
TThis module aims to equip students with advanced knowledge and skills to address more complex visualisation and analytics scenarios. Students will be exposed to a comprehensive set of tools and libraries to create static and interactive visualisations to support data-driven business decision making.
This module covers the concepts of data management from data governance to data architecture, data modelling and data access. It aims to equip students with knowledge and skills to manage a variety of data sources from data in local databases to large volume data in big data cloud storage. Students will learn to interpret relational and non-relational data models and manage data in structured database and big data architecture.
This module introduces the concepts, tools and techniques of data wrangling. Through building an automated data wrangling pipeline, data from diverse sources are collected, explored, cleansed, enriched and optimized and ready for the downstream visualisation and analytics process.
This module aims to equip students with the knowledge and skills to analyze and visualise data for more informed and timely business decision making. Students will be trained to conduct data analysis, interpret results, apply visualisation techniques, design data stories, create dashboards to support data-driven business decisions.
1 year
This Specialist Diploma equips participants with skills and knowledge to apply business analytics techniques for deriving insights and predictive models from business data.