Advanced Certificate in Applied Data Science and Analytics (I) Module 3: Data Transformation and Feature Engineering with Structured and Unstructured Data (Synchronous E-Learning)

Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2025054185
S$900
Original: S$3,000
Save S$2,100

About This Course

In today's digital age, Python programming stands out as an essential tool across various industries. Its versatility, simplicity, and robust libraries make it the preferred language for data analysis, machine learning, web development, automation, and more. Python's unmatched capabilities in processing and analysing large datasets drive innovation and efficiency in business operations worldwide.

This module is designed to equip participants with the skills necessary to excel in this data-driven landscape. As the go-to language for data analysis, Python enables users to manipulate, analyse, and derive insights from diverse datasets. This comprehensive course covers a broad spectrum of topics, ensuring proficiency in both foundational and advanced data processing techniques. Whether you are beginning your journey or looking to enhance your data science expertise, this module provides the essential tools to harness Python's full potential.

What You'll Learn

At the end of the 3-day module, participants will be able to:
• Learn the fundamentals of python
• Leverage on Python to handle diverse data types, perform sophisticated analyses, and derive actionable insights
• Appreciate the variety of data types including structured and un-structured data
• Able to process and analyse various types of data, from text and images to geolocation and multimedia data

Entry Requirements

This programme is structured to provide a comprehensive learning experience. Participants are required to complete the modules in the designated sequence to ensure a solid understanding of each topic before moving on to the next.

Course Details

Duration 22 hours
Language English
Training Commitment Not specified
Total Enrolled New course
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.

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