Data Science Methodology

If there is a shortcut to becoming a Data Scientist, it is learning to think and act like a successful Data Scientist. In this course, you will learn and then apply a methodology that you can use to solve any data science problem. You will learn two well-known data science methodologies, the Foundational Data Science Methodology and the six-step CRISP-DM data science methodology, and learn how to apply these data science methodologies. Most successful data scientists follow these or similar methodologies when solving data science problems. Start by learning how to formulate a business/research problem Learn how data scientists obtain, prepare, and analyze data Learn how applying data science methodologies helps ensure that the data used to solve a problem is relevant and is manipulated correctly to solve the question Next, you will learn about building a data model, deploying that model, telling stories about the data, and getting feedback. You will think like a data scientist and develop your data science methodology skills using a real-world inspired scenario through sequential labs conducted in Jupyter Notebooks and using Python.