Data and Digital Analytics
About This Course
By the end of the course, learners will have a solid understanding of the key concepts, tools, and techniques used in data analytics and able to apply them to real-world problems. This course addresses the performance gaps for the following:
- Identify underlying patterns and trends in data analytics to convey insights effectively using statistical computing tools and methods
- Use simple mathematics to develop predictive analytic spreadsheet models
- Explain how cluster analysis is used to explore and reduce data
- Create interactive visualisations with exploratory visual analysis and predictive modelling techniques
- Test hypotheses and validate problem-solving strategies by adopting statistical and experimental techniques
- Interpret and evaluate patterns in data to understand their relevance in business issues
- Demonstrate proof of concept for these algorithms through effective prototype development
- Apply machine learning methods to gain valuable insights from data to develop new business insights
- Use complex software tools find data to determine impact of insights on organization
- Identify, prioritise and solve problems within the organisational domains by analysing key business processes
What You'll Learn
Apply Power BI– Business analytics service to visualise and share data through interactive dashboards.
Spreadsheet / Excel– Popular spreadsheet tool for data calculation and fundamental data visualisation functions.
Orange-: Simplifying AI and data science with intuitive visual programming for analysis and machine learning.
MySQL – SQL querying used for data storage, retrieval, and manipulation.
Understanding Data Analytics, Data Collection and Data Presentation
Assess the business insights presented to determine impact of insights on organization.
Entry Requirements
Learners are expected to:
Have completed GCE “N” Level or in the absence, be able to comprehend , read, write and speak English and with Numeracy at WSQ Workplace Literacy (WPLN) Level 5
No prior technical qualifications or experience is required but learners are expected to have:
Basic computer literacy
Basic Internet Usage skills
Min 1 year experience in the proposed job roles or 1 year relevant working experience in the related industries.
Learners who do not qualify in terms of education, literacy and/or numeracy but have at least 1 year of working experience in any industry will be admitted on a case-by-case basis, subject to approval by Bells Management Representative (MR).