There are plenty of alternatives to handle missing data, although none of them is perfect or fits all cases. Some of them are:. To mitigate it, we make use of data validation, a process composed of a set of rules to ensure that the data reaches a minimum quality standard. A couple of examples of validation checks are:. Linear regression is a statistical model that, given a set of input features, attempts to fit the best possible straight line or hyperplane, in the general case between the independent and the dependent variable. Since its output is continuous and its cost function measures the distance from the observed to the predicted values, it is an appropriate choice to solve regression problems e.
Interview Question: Chapter 7 Liquidation Analysis (Brief Case Study)
Acing the Data Science Case Study Interview
Lots of people start feeling nervous because of the very idea of undergoing a case study interview which is the crucial step for any analytics hiring process. The most common reason for this is the fact that analytics interview case study is very stressful because you have to show your ability to think on your feet under serious pressure. Case study interview questions were first used in the interviews by management consulting firms. Nowadays they are widely used by many employers, especially in large companies including marketing, research, investment banking, and consumer product management. Although preparation is important for any job interview, you will need extra time to adequately prepare for the case study interview.
How to read data in Case Interviews - a comprehensive guide
However, they are very challenging. They can be so challenging, in fact, that they scare many people who might otherwise be interested in Management Consulting into simply not applying. Therefore preparing for Case Studies—from becoming comfortable with the concept all the way up to being ready and confident for the Case, whatever it may be—is one of the most important things a prospective Consultant must do in the Consulting recruiting process.
Healthcare Data Analysts are quantitative specialists with expertise in both business and healthcare administration. Their duties include compiling and organizing large and varied data sets, analyzing data to find operational insights and communicating findings with management. When you're interviewing Healthcare Data Analysts, candidates should speak comfortably on both business and healthcare administration and demonstrate good attention to detail. Bad candidates will be proficient in only one area and struggle to communicate effectively. Candidates should describe, in detail, their method of data exploration.