Data and Statistical Analytics 1
About This Course
Targeted Sector:
Learners who are in roles across various engineering services such as trade, manufacturing, electronics and others. While many of these learners have extensive experience in various deep-engineering equipment, they lack the knowledge and skills required to use common software for data collection, and interpretation of that data for reporting and recording keeping tasks. The purpose of this training is to give a light touch introduction to the use of a spreadsheets tool like Excel to store, manipulate and manage data. At the moment, many such businesses are attempting to convert manual paper-based processes to digital computer-based processes. However, it is clear that the workforce has a very poor understanding of the use of a common tool such as Excel and a basic introductory course is necessary to ensure success in their careers.
Performance Gaps / Needs that the Course Will Address
Current situation:
1. Lack of understanding how data collection software is intended to be used
2. Lack of understanding how to store data effectively using data collection software
3. Lack of experience in using such data collection / storage software
4. Lack of knowledge in collecting, storing and maintaining data.
Intended situation:
1. Knowledge of data collection
2. Knowledge of data storage
3. Able to collect data for analysis and processing
4. Able to collect, store and maintain data meaningfully
What You'll Learn
Entry Requirements
Cognitive (Medium)
- Possess at least GCE N Level or WSQ WPLN 5
- Good ability in written and spoken English
- Visual and kinaesthetic learners with basic problem-solving abilities
- Most have not been formally assessed in a long time so may be intimidated by assessments
Affective (Medium)
- Mid motivation level with some work experience
- Mid level of readiness to learn
- Mid level of proactiveness
Physiological (Medium)
- Energetic and healthy
- Ranges from 30 – 55 years old
- High tendency towards kinaesthetic learning style but supported by visual and auditory styles
Social (Medium)
- Most would prefer the involvement in interaction between facilitator and fellow learners
- Fairly cooperative towards learners and trainer
- Requires communication and discussion between and among facilitator and fellow learners
- Possess average IT skills