Overview
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Duration/Frequency:
100 hours
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Mode of Training:
Facilitated Learning (F2F), Supervised Field Training and Project Work
Course Objective
This course:- Enables participants to apply knowledge in a step-by-step process, required for handling analytics projects.
- Equips participants with necessary skills in Microsoft Excel for data wrangling, data cleaning, transformation and conditioning.
- Facilitates participants to use an appropriate data analytics tool, like KNIME, for implementation of data modelling and machine learning techniques to perform analysis and inference based on modelling outcomes.
- Enables participants to interpret results, establish process insights and make critical decisions
By the end of the course, participants will be able to with their dataset:- Appreciate the data available for study;
- Scope the data analytics project;
- Apply techniques relevant for data transformation & conditioning;
- Derive and Include relevant data fields required for analytics;
- Choose appropriate analytics or data modelling technique required for the project;
- Differentiate between data analysis and data analytics;
- Use appropriate functions / visuals readily available in the software used for the project;
- Identify the do’s and don’ts in a data analytics project;
- Build a model that represents the data and that meets the requirements of the project.
Topics to be covered- Project understanding and acquired relevant data
- Relevant data wrangling training 1
- Written Test for data wrangling following training 1
- Relevant data analytics training 2
- Assessment following training 2
- Closely guided coaching for project execution
- Independent application of learning into practice
- Project: Analytics model demonstration and presentation
More Information
Unlike the usual short courses where participants learn skills and concepts from the course, the proposed project-focused course seeks to offer project-solution training complemented with classroom training in data wrangling, analytics and modelling techniques. Participants will be guided to establish a suitably scoped data analytics project and will also be guided on undertaking solution steps, in the project. The training will provide a step-by-step exposure on applying the Microsoft Excel & KNIME related skills and concepts to realise successful analytics of the data studied.
Course Fee
For more information on course fee / or to apply, click on the “Register” button.
