Data Analytics Exam 1 Questions and Answers Latest Version Graded A+

Data Analytics Exam 1 Questions and Answers Latest Version Graded A+ What is the purpose of normalization in data preprocessing? To scale data values to a standard range How is outlier detection useful in data analysis? It helps identify data points that deviate significantly from other observations What is regression analysis used for in data analytics? To predict the value of a dependent variable based on one or more independent variables What is the purpose of clustering in data analytics? To group similar data points together based on shared characteristics What does a scatter plot typically represent in data analysis? The relationship between two continuous variables 2 What is time series analysis used for in data analytics? To analyze data points collected or recorded at successive points in time What does dimensionality reduction help with in data analysis? Reducing the number of features in a dataset while preserving important information What is the importance of cross-validation in machine learning? To evaluate the performance and generalization ability of a model on unseen data What is a decision tree model used for? To make predictions or decisions based on input features What is the role of SQL in data analytics? To query and manipulate data stored in relational databases What is predictive modeling in data analytics? The use of statistical algorithms to forecast future outcomes based on historical data 3 What is the purpose of a box plot in data visualization? To visualize the distribution of data and detect potential outliers What is the difference between descriptive and inferential statistics? Descriptive statistics summarize data, while inferential statistics draw conclusions and make predictions based on data What is feature engineering in data analysis? The process of creating new features from existing data to improve the performance of models What is the significance of data ethics in analytics? Ensuring that data is collected, analyzed, and used responsibly and with respect for privacy What does the term "big data" refer to? Large, complex datasets that require advanced processing tools and techniques to analyze What is the purpose of sentiment analysis in data analytics? 4 To determine the sentiment or opinion expressed in text data, such as customer reviews What is the role of a data warehouse in analytics? To store and manage large volumes