دانلود کتاب تبدیل شدن به یک تحلیلگر داده

The data analytics lifecycle is developed from the cross-industry standard for data mining. Also known as CRISP-DM. The major phases include business understanding, data understanding, data preparation, modeling, evaluation, and deployment.As our focus will not be creating models, the data analytics lifecycle is similar except the substitution of exploratory data analysis, data validation, and presentation. The first and probably most important phase is business understanding as your work here will set the direction for the rest of the project. Mistakes here result in performing unnecessary work or providing a solution that does not solve the intended problem. There are about 3 main areas of this phase: 1. Defining business objectives: Here you will be defining the actual goal of the data project. The basis for every project is to provide a solution that solves a problem or improve a process. An important concept is to understand symptoms vs the root cause. The symptoms will be the visual signs or effects of an issue of a system. Symptoms trigger the investigation of an issue or the need for a solution. The root cause is the underlying issue that all the symptoms stem from. Unlike symptoms, root causes are often not visible or apparent without a thorough investigation. Addressing the symptoms will only provide temporary fixes, while addressing the root cause will resolve the problem more permanently. When speaking with stakeholders, often they may spend most of their time speaking about the symptoms. Many times, what they say is the problem really isn’t the problem. As a data analyst, you must know how to ask the right questions to sift through symptoms to figure out the root cause and the correct business problem. Tools for success: Five Whys and Fishbone diagrams. The Five Whys is a quick and effective technique to uncover a root cause. Where you begin with a problem statement and follow with asking “why” five times or any amount needed to land at the underlying root cause. Below is a diagram the visually depicts the process.