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What's the difference between a data analyst, a data scientist and a data engineer? Many people often get these roles mixed up but they're quite different. Data analysts is like a report that can take existing data, clean it up and create charts or reports to answer specific questions. For example, the mind teller company house sales where last month or which products are performing best. They focus on what happened. Data scientists is like a fortune teller. They dig deeper into data using advanced tools like machine learning to find patterns, make predictions and answer complex questions. They help companies to understand why things happen and what could happen next. Data engineers is like a builder. They create systems that collect, store and organize data ensuring everything runs smoothly. Without them, the data wouldn't be clean or accessible. Their job is to ensure data analysts and data scientists have the information that they need to work with. To put it simply, data analysts analyze the past, data scientists predict the future and data engineers build the infrastructure to make it all possible. Subscribe or follow for more.

What's the difference between a data analyst, a data scientist and a data engineer? Many people often get these roles mixed up but they're quite different. Dat…