Profile
In today's data-driven world, data literacy is no longer a luxury, it's a necessity for both individuals and organizations. This course empowers you to step beyond data fear and become a confident data user, making informed decisions and driving success.
Why is this crucial?
Data literacy is the foundation for data-driven decision-making. Imagine every employee empowered to ask questions, analyse information, and translate insights into action. That's the transformative power of data literacy!
Beyond just numbers:
Remember, data literacy isn't just about crunching numbers. It's about being verbally literate, effectively communicating your findings. It's about numerical literacy, confidently interpreting statistics and charts. And it's about graphical literacy, using visuals to present your data story in a clear and impactful way.
This course is about building confidence and unlocking your potential by becoming data and chart literate.
What You'll Learn
At the end of the course, you will be able to:
- Manage information from multiple datasets through proper data governance
- Apply data analytics activities from the data management cycle for the construction of hypotheses
- Apply data modelling techniques and statistical principles.to determine underlying trends and patterns
- Examine patterns from multiple data sets through statistical techniques, experimental techniques and hypothesis testing to derive insights.
- Examine data for analysis from extraction and validation as part of the data management cycle
- Apply business intelligence and analytics tools for data extraction and analysis and provide analytical features to the report requirements
- Provide trend and risk reports to support in the management decision making using data analytics intelligence tools.
Minimum Entry Requirement
The learner should possess:
- Ability to use the basic functions of a computer well
- Ability to read, listen, speak and write in English at a level equivalent to Workplace Literacy Level 5
- At least 3 GCE 'N' Level Passes
- At least 1 year of working experience in any field that uses computers at work
- Learners who do not meet the education requirements but have at least 3 years of relevant work experience can be accepted on a case by case basis subject to approval by the Management Representative.