Data Analyst Study Guide Graded A+

What is the difference between Data Mining and Data Analysis(4) {Ans: Data mining algorithms automatically develop equations. Data analysts have to develop their own equations based on the hypothesis.}How will you create a classification to identify key customer trends in unstructured data? {Ans: You can answer this question by stating that you would first consult with the stakeholder of the business to understand the objective of classifying this data. Then, you would use an iterative process by pulling new data samples and modifying the model accordingly and evaluating it for accuracy. You can mention that you would follow a basic process of mapping the data, creating an algorithm, mining the data, visualizing it and so on. However, you would accomplish this in multiple segments by considering the feedback from stakeholders to ensure that you develop an enriching model that can produce actionable results.}What is data cleansing? {Ans: From a given dataset for analysis, it is extremely important to sort the information required for data analysis. Data cleaning is a crucial step in the analysis process wherein data is inspected to find any anomalies, remove repetitive data, eliminate any incorrect information, etc. Data cleansing does not involve deleting