Data Pre-Processing for Data Analytics* (16 HOURS)
*This is a non-WSQ module.
Introduction
With the advent of Industry 4.0 and an ever-increasing use of the Internet of Things (IoT), data is now generated in numerous forms. That’s why this course is designed to provide the participants with a comprehensive introduction to the fundamentals of data pre-processing, which is a vital aspect of preparing data from various sources and sensors to be analyzed and mined for insightful discoveries.
Throughout the course, participants discover the significance of data pre-processing and its practical applications, as well as how to synchronize data and manage data complexity. They also gain
hands-on experience with basic Python programming and Excel skills, working with both categorical and
time-series data to normalize and transform it. Furthermore, the participants will also learn about feature engineering and selection with machine learning and artificial intelligence techniques, enabling them to prepare data for further analysis and mining for a wide range of practical applications.
About the Programme
This course is a two-day intensive programme aimed at helping participants master the art of Data
Pre-processing for Data Analytics. Starting from foundational concepts to advanced techniques, this
course equips learners with the essential skills to handle, clean, and optimise data for machine learning.
The programme enhances the participants’ expertise in data normalization, transformation, feature engineering, and selection, thereby unlocking the full potential of their analytical endeavors.
Who Should Attend
This course is designed for professionals such as engineers, managers, researchers, IT support staff as well as management with relevant industry working experience on the topic.
- For technical enquiries, please contact:
Registration
- Please register for this course through our Course Registration Form for Public Classes.
- For the first question, please select Qn1: Modular Programmes
- Applicants will be placed on our waiting list if the course does not have an upcoming scheduled intake.
- Once the next intake is confirmed to commence, SIMTech will contact the applicants to share the class information.
Collateral
Schedule
WSQ Module | Skills Course Reference Number | Training Period (Click on dates to view schedules) | Registration Status |
- Data Pre-Processing for Data Analytics (16 hours)
| TGS-2023039421 | The next intake's schedule is still in the planning stage.
| |
Note: SIMTech and ARTC reserve the right to change the class/schedule/course fee or any details about the course without prior notice to the participants.
Announcement:
- From 1 Oct 2023, attendance-taking for SkillsFuture Singapore (SSG)'s funded courses must be done digitally via the Singpass App. More information may be viewed here.
: Full day
: Morning
: Afternoon
: Evening
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