introduction to data analytics coursera quiz answers week 4 Practice Quiz 1. What is one of the common measures of Central Tendency? Answers ClassificationRegressionMean Variance 2. What technique is used to help identify the nature of the relationship between two variables? Answers Anomaly DetectionRegressionClusteringClassification 3. What Python libraries are commonly used for data mining? Answers NumPytwitterTmPandas Graded Quiz 4. What is a branch of mathematics dealing with the collection, analysis, interpretation, and presentation of numerical or quantitative data? Answers CalculusAlgebraStatisticsPie 5. Data Mining is defined as the process of: Answers Extracting knowledge from dataIdentifying errors in dataFiltering data based on pre-defined criteriaPreparing raw data for analysis 6. What type of data mining operations was R specifically built to handle? Answers SortingClassification of data FilteringCalculating mean, median, and mode 7. When you’re calculating the middle value of a data field in a data set, what are you really calculating? Answers MeanMedianAverageMode 8. What is the general tendency of a set of data to change over time called? Answers Trend AnomalyPatternVariation Shuffle Q/A 1 Practice Quiz 9. Data visualizations such as graphs and charts are a great way to bring data to life. Answers TrueFalse 10. You can use dashboards to present operational data such as daily progress data, as well as analytical data, such as the overall health of a business function. Answers TrueFalse Next Share the love Share this content Opens in a new window Opens in a new window Opens in a new window Opens in a new window Opens in a new window Opens in a new window Opens in a new window You Might Also Like Week 4 – Network traffic and logs using ids and siem tools – Shuffle Q/A 3 Week 3: Databases: Where data lives Week 1 – Introduction to complex data relationships – Shuffle Q/A 1 Leave a Reply Cancel replyCommentEnter your name or username to comment Enter your email address to comment Enter your website URL (optional) Save my name, email, and website in this browser for the next time I comment.