Enroll Course: https://www.coursera.org/learn/bigdataanalysis
In today’s rapidly evolving business landscape, understanding and leveraging big data is no longer a niche skill but a crucial necessity. For those looking to grasp the business applications of data science without getting bogged down in technical jargon, Coursera’s ‘大數據分析：商業應用與策略管理 (Big Data Analytics: Business Applications and Strategic Decisions)’ course offers a compelling entry point.
Designed specifically for non-data science professionals, this six-week course, primarily taught by professors from National Taiwan University, focuses on the ‘what’ and ‘why’ of big data in a business context, rather than the ‘how’ of complex algorithms. The curriculum is thoughtfully structured to build a foundational understanding of data science’s scope and classification within business management, and to illuminate its diverse applications.
The course kicks off with an engaging live session featuring industry experts, setting the stage for the weeks ahead. Subsequent weeks delve into specific areas: week two explores data analytics in finance and insurance, introducing concepts like decision trees and association analysis with practical examples like customer behavior prediction and stock market analysis. Week three shifts to marketing and retail, explaining association analysis and its application in understanding customer purchasing patterns, building upon classic marketing theories like STP.
Weeks four and five focus on social media analytics. Week four introduces sentiment analysis and social listening, demonstrating how to extract insights from user comments to inform marketing and customer service decisions. Week five expands on this, examining brand perception and market structure analysis through product reviews, and exploring methods for extracting brand associations, all while highlighting the challenges and opportunities in this dynamic field.
The course culminates in week six with a presentation by the Chief Digital Officer of E.SUN Financial Holding Company. This session provides an invaluable industry perspective, showcasing how data science drives innovation and transformation in the banking sector through real-world examples and strategic talent deployment.
What makes this course particularly effective is its pedagogical approach. A facilitator guides learners through the material with pre-session questions, introductions, and follow-up inquiries, fostering a deeper learning and critical thinking process. While the live sessions may have passed, recordings are available, and active discussion forums allow for continued interaction with instructors and peers.
For students preparing for their careers or professionals seeking to expand their understanding of data science’s potential in their work, ‘Big Data Analytics: Business Applications and Strategic Decisions’ is a highly recommended course. It successfully bridges the gap between academic knowledge and practical business strategy, offering a clear and accessible pathway into the world of big data.
Enroll Course: https://www.coursera.org/learn/bigdataanalysis