D491 section 3 notes rated A+

D491 section 3 notes rated A+ engagement the level of interaction between users and a particular platform or piece of content; can include website traffic; social media likes, shares, and comments; email opens; click-through rates; and any other measurable action that indicates user interest and involvement algorithm a set of step-by-step instructions for solving a problem or completing a task; in data analytics, algorithms process and analyze large amounts of data to extract valuable insights and patterns for making informed business decisions, including clustering algorithms, decision tree algorithms, and more customer segmentation divides customers into different groups based on similar characteristics such as demographics, behavior, and preferences; this allows businesses to tailor their marketing strategies and offerings to different customer groups, leading to more effective and efficient use of resources market research collects and analyzes information about a market, including its size, trends, competitors, and customer preferences, and helps businesses make informed decisions about their products and services, pricing, promotion, and distribution strategies machine learning a branch of artificial intelligence focused on developing algorithms and models that allow computers to learn and make predictions or decisions based on data; in the context of a data analytics course, machine learning is a set of techniques and tools used to analyze and derive insights from large and complex datasets optimization the process of finding the best solution to a problem or maximizing or minimizing an objective function, subject to constraints conversion rate a metric that measures the percentage of website visitors who complete a desired action, such as purchasing or filling out a form click-through rate (CTR) a metric that measures the percentage of people who click on a link or advertisement customer lifetime value (CLV a metric that measures the total value of a customer to a business throughout their relationship churn rate a metric that measures the percentage of customers who stop doing business with a company over a certain period customer acquisition cost (CAC) a metric that measures the cost of acquiring a new customer return on investment (ROI) a metric that measures an investment's profitability bounce rate a metric that measures the percentage of website visitors who leave after viewing only one page time on site a metric that measures a user's time on a website engagement rate a metric that measures the level of engagement with content or advertisements, such as likes, comments, and shares on social media revenue growth a metric that measures the increase in revenue over a specific period predictive analytics uses statistical algorithms and machine learning techniques to analyze historical data and predict future events or outcomes; for example, a healthcare provider might use predictive analytics to identify patients who are at high risk for certain diseases based on their medical history and lifestyle factors clustering a technique used to group similar data points based on their characteristics or attributes; for example, a marketing team might use clustering techniques to group customers with similar purchasing behaviors to create targeted marketing campaigns regression analysis a statistical method for examining the relationship between a dependent variable and one or more independent variables; for example, a business might use regression analysis to determine how much changes in advertising spending affect sales data visualization uses graphical representations to communicate complex data and insights to stakeholders; for example, a business might use data visualization techniques to create interactive dashboards that display key performance indicators and allow executives to monitor the business's health in real time neural networks a class of machine learning algorithms used in data analytics that are inspired by the structure and function of the human brain; they are a type of artificial neural network that can learn and make predictions on complex data patterns Sentiment analysis technique that detects the emotion behind the text? Would not use regression analysis since regression analysis does not deal with text data. Do not ue time series-this is statistical technique used to analyze data points collected over time. It is inappropriate for sentiment analysis, as it does not deal with text data statistical techniques analysis procedures used to examine, reduce, and give meaning to the numerical data gathered in a study,, does not use text data time series a forecasting technique that uses a series of past data points to make a forecast Linear regression A method of finding the best model for a linear relationship between the explanatory and response variable. a technique to predict a continuous variable based on one or more input variables. It is not designed for identifying patterns in data. Naive bayes a probabilistic algorithm that is often used for classification problems. It is not specifically designed for identifying patterns in data and may not be as effective as clustering when dealing with large datasets. Decision trees Graph of decisions and their possible consequences, used to create a plan to reach a goal Decision trees a classification technique that divides the data into smaller subgroups based on predefined rules. While decision trees can be useful for identifying patterns in data, they are not as effective as clustering when dealing with large datasets. naive bayes Classification predictive Training data classify new data points ie red, round, Apple, yellow, oblong,banana If new obj red then more likely Apple Clustering most effective when dealing with large datasets, as it allows for identifying groups of similar data points without prior knowledge of the data structure. box plots Data visualization technique--helps visualize data distribution, not for text data. Use to show data distribution acroww different groups or categories, not comparison over time. Bar graph Data visualization technique--two one-dimensional to compare the behavior of so many actors on various social media websites. heat graph data visualization technique--best to visualize the interactions between posts and customer engagement due to its ability to communicate complex information through color gradients. pie chart data visualization technique--show the share of a group that adds up to 100%, so they would