Data Science Fundamentals L1
About This Course
This beginner-level course offers a comprehensive introduction to data analytics, equipping learners with practical skills in data collection, analysis, reporting, and evaluation using industry-relevant tools like spreadsheets.
Covering five key learning units: from analytics fundamentals to tools, processes, and governance: this course builds core competencies such as interpreting data for business insights, applying analytics tools and evaluating data quality.
Designed to meet current industry demands, it supports learners aiming to enhance employability or upskill for job upgrades in data-driven roles. Ideal for those new to analytics, the course opens pathways to careers in business intelligence, digital marketing, and operations analysis.
What You'll Learn
Key learning include:
LO1. To identify the appropriate data analytics approach to meet business goals.
LO2. To appraise tasks and apply methods to generate, collect and collate analytics reports.
LO3. To apply data analytics tools and technology to perform routine analytics and reports to understand customer activities and behaviours
LO4. To apply spreadsheet methodologies in performing tasks related to data analytics, metrics, measurements and data entry
LO5. To gather information to evaluate the effectiveness of the data analytics tool and technology used.
Entry Requirements
Participants are required to have the ability to converse, read and write in English. Minimum Lower Secondary Education or WPLN Level 3 and above.