Discover the emerging field of Data Science and Analytics and learn how you can gain a deeper understanding of data to improve your business operations!
In this two-day workshop, you will learn the fundamentals of data extraction and analysis on how you can draw useful insights and enhance your decision-making capabilities. You will also be able to apply a range of statistical techniques that enables machines to improve tasks with experience and perform predictive analytics.
Please bring along your own laptop for the hands-on exercises. Our trainer will share the installation files for Python as well as the necessary source code editor during class. Additional libraries will also be installed during the workshop.
Who should attend?
This course is designed for participants who has a basic understanding of Python and individuals who wish to gain deeper insights using data.
Learning Objectives
Upon completion of this course, you will gain a deeper understanding and knowledge in the following topics:
- Python virtual environments
- Well known libraries used for Data Science.
- Data visualisation
- Machine learning
- Supervised and unsupervised learning
- Regression techniques
- Classification techniques
- Clustering techniques
Entry Requirement
Prior programming knowledge and basic understanding of Python
Certification
Participants will be awarded a certificate of completion upon meeting the 75% course attendance requirement.
For courses with assessment component, participants will be awarded the certification of completion upon passing the assessment. Otherwise, a certification of attendance will be issued instead upon meeting the 75% course attendance requirement.
Please click on the "Register" button to view the updated course schedule and fees on the Skills Training & Enhancement Portal (STEP).
Please click on the "Register" button to view the updated course schedule and fees on the Skills Training & Enhancement Portal (STEP).