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Introduction to Quantitative Data Analysis and Visualization

This course aims to equip participants with the skills to clean data, perform simple analysis and create useful visualizations for presentation and recommendations to stakeholders. Participants will learn how to achieve this using Excel and Power BI software.

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Fundamental Data Analysis using Excel

This fundamental data analysis course is designed to equip you with relevant Excel skills for the purpose of analyzing data in business applications. You will learn how to import data from various sources, merge data and organize them for visual presentation, and analyze the data to gain insights to support decision making.

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Visual Analytics Using Power BI

The demand for visual analytics in business processes, for quick and informed decision-making, is ever increasing. Microsoft Power Business Intelligence (Power BI), is one of the solution platforms for a robust dashboard development. The high-end features from Microsoft Power BI and DAX functions, which are “similar” to those offered in Microsoft Excel, have made the process of building dashboards easier.

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Data Visualization with Python

The course aims to introduce participants to the data analytic and visualization workflow. Pandas and Seaborn will be used to perform statistical and visual analysis of data and incorporated into a Jupyter notebook. The course will emphasize on the skills needed in processing and understanding big data through visual analysis, the importance of reproducible research and communication and collaboration within data analytics teams.

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Data Analytics Using R

This course will explore the strengths of the ‘R’ programming language, in numerical data preparation, analysis and modelling via case studies. Participants will be provided with a broad understanding of data analytic processes and the tools used. By the end of the course, participants will better appreciate analytical processes and use data tools to perform a broad spectrum of analytical operations.

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Intermediate Visual Analytics Using Power BI

Participants will learn advance level DAX functions where they can build more insightful dashboard. The course will also equip them with knowledge on streaming data analysis and visualisation as this skillset is currently useful for individuals in any sector or profession.

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Introduction to Predictive Analytics for Maintenance

Predictive Analytics is the science of engaging statistical and data driven approaches to build models to represent real processes, for the purpose of comparative analysis as well as making predictions / forecasts. This is particularly so in the manufacturing environment where process monitoring and predictive models are very critical in pre-empting failure. In an automated manufacturing environment, process data is produced as at incredible rate and the ability to collect, store, analyse, model and predict process behaviour has become increasingly more important.

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Statistics and Data Analysis

This course helps participants understand the role that variability plays in drawing conclusions based on data. Participants will develop a crucial understanding of variability through its focus on the data analysis process. Participants will develop skills and a perspective that will make them more productive, faster and allow to become valuable assets to their organisation that can benefit from intelligent judgements and informed decisions.

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