Concern: I’m worried data science is shifting towards analytics while ML engineers focus on deploying models. Is it still worth advancing in data science instead of moving to computer science?
hey, ive been pondering the same quesion. i think data science is still relevant with its blend of analytics and ml. its evolvin fast! what core skills u see as most vital in teh current climate?
even tho data science leans toward analytics, it still has a lot to offer. if you enjoy handling data and solving problems, keep on upskilling. it’s a dynamic field and you can always pivot into ml when the time’s right.
Data science remains a promising career choice despite the increasing emphasis on analytics within the industry. In my experience, the field continually adapts by incorporating advanced machine learning techniques alongside traditional data analysis tasks. This evolution has expanded the role beyond pure analytics, offering opportunities to bridge the gap between data insights and real-world applications. Continuous learning and a multidisciplinary approach are crucial, as both data and computer science practices are converging. Developing expertise in statistical methods, data handling, and modern tools makes a lasting impact across varied industries.