What skills and knowledge areas should someone focus on when making a career switch into data science from the mechanical field?

Question

When transitioning from mechanical engineering to data science, which specific skills and knowledge domains should be the primary focus?

Answer 1

When switching from mechanical engineering to data science, focus on developing skills in programming (Python/R), statistics, machine learning, and data manipulation. Gain knowledge in data visualization, databases, and domain-specific applications of data science. Building a strong foundation in these areas will help bridge the gap effectively. If you are interested in getting into this field, then check out this video about Kedar and how he easily learned Data Science and Artificial Intelligence despite being from a Mechanical domain with the help of Intellipaat’s Advanced Certification in Data Science and AI.