engagement correct answers 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
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engagement correct answers 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 correct answers 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 correct answers 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 correct answers 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 correct answers 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 correct answers the process of finding the best solution to a problem or maximizing
or minimizing an objective function, subject to constraints
conversion rate correct answers 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) correct answers a metric that measures the percentage of people who
click on a link or advertisement
customer lifetime value (CLV correct answers a metric that measures the total value of a
customer to a business throughout their relationship
churn rate correct answers a metric that measures the percentage of customers who stop doing
business with a company over a certain period
customer acquisition cost (CAC) correct answers a metric that measures the cost of acquiring a
new customer
return on investment (ROI) correct answers a metric that measures an investment's profitability
, bounce rate correct answers a metric that measures the percentage of website visitors who leave
after viewing only one page
time on site correct answers a metric that measures a user's time on a website
engagement rate correct answers a metric that measures the level of engagement with content or
advertisements, such as likes, comments, and shares on social media
revenue growth correct answers a metric that measures the increase in revenue over a specific
period
predictive analytics correct answers 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 correct answers 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 correct answers 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 correct answers 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 correct answers 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 correct answers 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 correct answers analysis procedures used to examine, reduce, and give
meaning to the numerical data gathered in a study,, does not use text data
time series correct answers a forecasting technique that uses a series of past data points to make a
forecast
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