Data science is a relatively new field, and it is constantly evolving. As such, there is no one-size-fits-all definition of what a data scientist does. However, there are some core skills that all data scientists should possess. These include: Strong analytical skills: Data scientists need to be able to analyze large amounts of data quickly and accurately. They must also be able to identify patterns and trends and make predictions about future events.
Programming skills: Data scientists must be proficient in at least one programming language. Popular choices include Python, R, and Java. Machine learning: Machine learning is a branch of artificial intelligence (AI) that allows computers to learn from data without being explicitly programmed. This is an important skill for data scientists, as it allows them to build models that can automatically improve over time. Communication: Data scientists need to be able to communicate their findings clearly to non-technical audiences.
