Data analytics training and advisory
Ho Hsu Hsia is a Singapore-based data analytics trainer and advisor who works with public-sector and corporate teams in Asia and the Middle East, from Excel to data science and open data. Ho Hsu Hsia delivered a big data and analytics programme in 2022 and earned the IBM Data Analyst and IBM Data Science Professional Certificates in 2024.
What Ho Hsu Hsia teaches and advises on
Data analytics sits under the training and capability building service offered by Ho Hsu Hsia. The topics are practical and cover the range from everyday spreadsheet work to data science concepts:
- Big data and analytics, and the digital economy
- Data strategy and data-informed decision-making
- Data visualisation and dashboards
- Excel and Word, to Microsoft Office Specialist Expert level
- Open data, e-government, and data governance in the public sector
Open data, data analytics and e-government are also among Ho Hsu Hsia’s research interests, alongside digital government and data governance in public policy and administration.
Programme on record
In 2022 Ho Hsu Hsia designed and delivered a programme on big data and analytics, under the digital economy theme. It is one of eight programmes listed on the track record page, which covers 2018 to 2025. Client names are not published.
Credentials behind the teaching
- IBM Data Analyst Professional CertificateIBM, through Coursera. Nine courses covering Excel, SQL, relational databases, Python, Jupyter Notebooks and Cognos Analytics. VerifyMay 2024
- IBM Data Science Professional CertificateIBM, through Coursera. Ten courses covering Python, SQL, data visualisation, machine learning and a capstone project. VerifyMay 2024
- Microsoft Office Specialist Expert: Excel 2016MicrosoftMay 2020
- Introduction to StatisticsStanford UniversityOctober 2024
Teaching experience
From 2021 to 2024 Ho Hsu Hsia was a visiting lecturer, designing and teaching Management Information Systems and Spreadsheets to undergraduates in a business degree. The work included lesson plans, LMS resources, assignments, tutorials and question banks, and the integration of AI and digital tools into asynchronous teaching materials and classroom delivery. The overall teaching evaluation score was 8.9 out of 10.
How training is shaped
Ho Hsu Hsia runs learning needs analysis, programme evaluation and structured feedback review to strengthen course design. For a data analytics engagement that means agreeing the audience, the outcomes and the timeline in a project brief, then fitting the content to the team’s starting level. The same approach underpins the capability building and TVET service.
Teams that want to find where manual work could be reduced can also read about the process audit service.
Frequently asked questions
What data analytics topics does Ho Hsu Hsia teach?
Ho Hsu Hsia teaches big data and analytics, data strategy, data-informed decision-making, data visualisation and dashboards, and Excel, drawing on a 2022 big data and analytics programme and four years lecturing Management Information Systems and Spreadsheets. Advisory work also covers open data and data governance in the public sector.
Which data analytics credentials has Ho Hsu Hsia earned?
Ho Hsu Hsia has earned the IBM Data Analyst Professional Certificate (May 2024), the IBM Data Science Professional Certificate (May 2024) and Microsoft Office Specialist Expert in Excel 2016 (May 2020). Each is listed with its issuer, and the IBM certificates have verification links, on the track record page.
Can data analytics training be adapted to a team’s level?
Training starts from a learning needs analysis, which Ho Hsu Hsia uses to shape course design, followed by programme evaluation and structured feedback review. Content ranges from spreadsheets to data science concepts. To begin, send a project brief with the audience, the outcomes expected and the timeline.