Exam 17: Data Analytics

Choose from the definitions below the best definition of process mining.

Linear regression is a statistical technique we use to estimate the relationships between a dependent variable and one or more

There are four widely used categories of data analysis. Which two analyze historical data and predict future events, providing recommendations on what the business should do?

________ is a consistent movement in the time series data that does not repeat. One example is an increase in revenue through a fiscal year due to a new product launch.

Natural Language Processing (NLP) is a form of textual analysis that gathers, processes, and interprets meaning from human language. Sentiment analysis is a complex and advanced data analytics technique. Give an example of how natural language processing (NLP) could be used with employee satisfaction surveys.

There are four widely used categories of data analytics. Choose the best description for descriptive analytics.

Consider the simple linear regression equation: Y = A + Bx What does x represent?

You recently joined Facelink, the latest social network craze. Facelink suggests 3 "friends" for you to link with based on your current connections. What type of network analysis is Facelink practicing?

Consider the simple linear regression equation: Y = A + Bx What does A represent?

Five data analytics-related job titles were discussed in the text. Which of the following job titles would best fit the following description: "The role is math oriented and focuses on collection and interpretation of quantitative data using defined scientific methods."

Choose from the definitions below the best definition of natural language processing.

Five data analytics-related job titles were discussed in the text. Which of the following job titles would need an expert understanding of data modeling?

Natural Language Processing (NLP) is a form of textual analysis that gathers, processes, and interprets meaning from human language. Sentiment analysis is a complex and advanced data analytics technique. Give an example of how natural language processing (NLP) could be used with auditing documents.

What is the first step in most complex data analytics techniques?

Five data analytics-related job titles were discussed in the text. Which of the following job titles would need an expert understanding of visualization?

There are four widely used categories of data analytics. Choose the best description for diagnostic analytics.

Machine Learning (ML) uses algorithms and statistical models to train an AI system through patterns and trends in data sets. ML programs systems to perform tasks without explicit instructions and is a popular application of AI in data analytics. There are three machine learning approaches. Choose the best definition for supervised learning.

Anomaly detection, also known as outlier analysis, reveals observations or events that are outside a data set's normal behavior. Anomaly detection is an important data analytic objective. Anomaly detection is applicable to every part of a business. Describe how anomaly detection could be used in the marketing department.

________ is a consistent movement in the time series data that repeats on a regular basis. An example is an increase in revenue every June, July and August due to summer beach sales.

In cluster analysis, the Machine Learning (ML) algorithm finds similarities between the data points to group them together without human intervention. There are many business uses for clustering. Describe an example of clustering in the accounting field.