No, 30 is not too late to start a career in data science. Many individuals transition into this field from various backgrounds at different ages. Here are some relevant points:
Diverse Backgrounds: Data science welcomes professionals from various disciplines, including mathematics, statistics, computer science, and even non-technical fields. This diversity enriches the field.
Growing Demand: The demand for data scientists continues to rise, providing ample opportunities for newcomers. Companies value skills and experience more than age.
Skill Acquisition: Many online courses and bootcamps offer the necessary training in programming languages (like Python and R), machine learning, and data manipulation, making it feasible to gain expertise even if starting later.
Networking and Experience: Gaining experience through internships, projects, or networking can enhance job prospects, regardless of age.
In summary, entering data science at 30 is entirely feasible and can be advantageous if you leverage your past experiences and continuously build relevant skills.