How can a web developer effectively close the skills gap between their current expertise and the demands of data science?

Question

How can a web developer successfully transition their skills to meet the demands of data science?

Answer 1

To bridge the gap from web development to data science, one should learn programming languages like Python and R, gain proficiency in data manipulation and analysis libraries, acquire statistical and mathematical knowledge, and explore machine learning and data visualization tools. Online courses, tutorials, and personal projects are valuable resources to develop these skills and build a data science portfolio, demonstrating competence to potential employers. If you are interested in getting into this field, then check out this video about Furqaan and how he upskilled from web development to data science with the help of Intellipaat’s Advanced Certification in Data Science and AI.