WGU - Introduction to Analytics - D491
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155 Terms
Which role is responsible for project initiation and providing the requirements for a project?
Project sponsor
3 multiple choice options
Which job position is primarily responsible for designing and constructing data pipelines within the field of data analytics?
Data engineer
3 multiple choice options
Which role in a data analytics project helps data scientists shape data for analysis?
Data engineer
3 multiple choice options
Which role in a data analytics project provides expertise for analytical techniques?
Data scientist
3 multiple choice options
Which skills are required by data scientists for converting unstructured data to structured data in data analytics projects?
Data wrangling skills
3 multiple choice options
Which skill must a business intelligence analyst possess to collect and organize data?
Data preparation
3 multiple choice options
Which project-related activity typically takes up the majority of a data analyst's time?
Data preparation
3 multiple choice options
Which software do business intelligence analysts use to perform their responsibilities?
Microsoft Excel
3 multiple choice options
What is a skill required of a data engineer?
Maintaining databases
3 multiple choice options
delete
Which group of stakeholders comprises the professionals, such as line managers?
Business users
3 multiple choice options
Which stakeholder is primarily responsible for ensuring the desired quality of the project?
Project managers
3 multiple choice options
Which stakeholder has access to essential tables or storage systems and guarantees the highest levels of security in the data repository?
Database administrator
3 multiple choice options
Why is it significant to establish failure criteria for a data analytics project in the discovery phase?
It helps the team determine when it is best to accept the conclusions.
3 multiple choice options
Which stakeholder extracts and transforms data during the discovery phase?
Data engineer
3 multiple choice options
A person has been assigned to manage a project to implement a company-wide customer relationship management (CRM) system. The CRM system aims to centralize customer details, automate sales processes, and improve customer service.
What skills are crucial for the project team members working on the CRM system implementation?
Data analysis, system integration, and training
3 multiple choice options
Why is formulating an initial hypothesis an integral part of the discovery phase of the data analytics lifecycle?
It guides the subsequent data collection, processing, and analysis activities.
3 multiple choice options
Who should be included as stakeholders in an analytics project?
Anyone who will benefit from the project
3 multiple choice options
Who offers suggestions on ideas to test as the team formulates hypotheses during the discovery phase of a data analytics project?
Data scientists
3 multiple choice options
Which activity occurs during the data preparation phase of the data analytics lifecycle?
Understanding of data
3 multiple choice options
Which data visualization is most suitable for understanding the trend and progression of a variable over time in the data preparation phase?
Line charts
3 multiple choice options
Which task is commonly performed to identify and address data quality issues during the data preparation phase?
Conducting data profiling
3 multiple choice options
Which common data cleaning task is used to address the missing data in a data set?
Imputation
3 multiple choice options
Which task is typically performed to handle outliers during the data preparation phase?
Truncating extreme values
3 multiple choice options
A data analyst at a retail company is provided with a large dataset containing sales transactions, customer information, and product details. The analyst is tasked with preparing the data for analysis and modeling.
Which activity would the analyst perform during the data preparation phase?
Exploring available data to understand its characteristics and suitability
3 multiple choice options
Which activity is performed during the model planning phase of a data analysis project?
Selecting relevant features for modeling
3 multiple choice options
Which programming language is primarily used for statistical analysis and data manipulation in the model planning phase?
R
3 multiple choice options
Which classification model is based on the concept of probability and assigns class labels to instances based on the possibility of belonging to a particular class?
Naive Bayes
3 multiple choice options
Which tool is used to connect users to relational databases and data warehouse appliances in the model planning phase?
SAS/ACCESS
3 multiple choice options
Which regression model is commonly used for predicting a continuous numerical outcome based on a set of input features?
Linear regression
3 multiple choice options
Which phase of the data analytics life cycle involves running analytical software packages on small datasets to test and refine models?
Model execution phase
3 multiple choice options
Which step is typically performed after executing the model in the model execution phase?
Result analysis
3 multiple choice options
Which testing procedure is used for evaluating the performance of a model in the data analytics life cycle?
Cross-validation
3 multiple choice options
What is the role of the SPSS modeler in the model execution phase of the data analytics life cycle?
It is used for applying the trained model to new data for predictions.
3 multiple choice options
How does the communication of results tie to the operationalize phase of data analytics?
It implements data-driven insights into business functions.
3 multiple choice options
Which data visualization tool in the communicate results phase is used to create web-based visualization?
D3.js
3 multiple choice options
Which measure assesses the validity of a correlation between two variables during the communicate results phase?
P-value
3 multiple choice options
Which statement is an example of a common pitfall in the communication of model results?
Focusing only on the accuracy of the model
3 multiple choice options
What is the purpose of communicating data analytics results to stakeholders?
To demonstrate the value and impact of data analytics on business outcomes
3 multiple choice options
A data analyst working for a retail company has a team that analyzes customer purchasing behavior and identifies a segment of high-value customers who have a high propensity to churn. Now the analyst needs to communicate the results to the customer service department to operationalize the insights and reduce customer churn.
How does the communication of results tie to the operationalize phase of data analytics?
By implementing personalized outreach to customers
3 multiple choice options
Which phase is the immediate predecessor to the operationalize phase of the data analytics life cycle?
Communicate results
3 multiple choice options
What is the primary objective of the operationalize phase in the data analytics life cycle?
Implementing and maintaining the analytics solution in a production environment
3 multiple choice options
What is the primary responsibility of the business intelligence analyst during the operationalize phase of the data analytics life cycle?
To make sure their reports and dashboards are up-to-date
3 multiple choice options
A retail company collects data on its sales for the last quarter. The data includes information on the sale of the products sold, the price, the quantity, and the sale location.
Which type of question can the data analytics project answer based on the available data?
What are the top-selling products in each location?
3 multiple choice options
A business seeks to increase profitability and optimize inventory management. They decide to carry out data analytics research to determine which merchandise is selling quickly and which is selling slowly. The research seeks to determine whether there is a relationship between the kind of merchandise and sales velocity.
Which data is required to answer the question for the data analytics project in the scenario?
Sales data categorized by product
3 multiple choice options
A healthcare provider aims to improve patient satisfaction and retention. They seek to answer the question, "What factors are associated with patient satisfaction?"
Which data is required to answer this question in the scenario?
Patient feedback survey results
3 multiple choice options
A financial institution is seeking to reduce the risk of fraudulent transactions. The institution has customer data that includes account information, transaction history, demographics, and device usage. The data analytics project aims to answer the question: "What patterns of behavior suggest a higher risk of fraudulent transactions?”
Which data is required to meet the needs of the project and address the risk of fraudulent transactions?
Customer device usage data
3 multiple choice options
An e-commerce company has collected various types of data about their customers, products, and sales transactions. The available data includes customer demographics, product attributes, purchase history, website clickstream data, and customer feedback.
Which question can be answered using data analytics based on the available data?
What are the most popular products among customers aged 18-25?
3 multiple choice options
A food delivery company would like to study economic conditions' effects on sales. The analyst in charge of the project is planning on gathering economic data from a well-known blog.
Which question should the analyst consider in the scenario?
Is the data correct?
3 multiple choice options
A data analyst is planning the data preparation phase of a data analysis project. During planning, they consider what to do if the data contains a lot of outliers.
Which question should the analyst consider in this scenario?
What is the impact of the outliers on the analysis?
3 multiple choice options
A data analyst is working on a project to identify the main reasons for customer complaints and is planning to review the data.
Which question should the analyst consider in this scenario?
Are all the relevant variables present?
3 multiple choice options
A data analyst plans to explore possible indicators of fraud in bank transactions. The analyst is considering different tools that can be used to collect the data needed.
Which question should the analyst consider when identifying the tool to use?
What is the format and structure of the data?
3 multiple choice options
A company will survey its customers to understand the potential demand for a new product. A data analyst will review the data.
Which question should the analysis consider to validate the representativity of the data?
What is the response rate for the survey?
3 multiple choice options
A retail company wants to improve customer satisfaction by understanding the factors that influence customer loyalty. The company has collected customer feedback data from different sources, such as online surveys, social media platforms, and customer support calls.
Which data analytic technique should be used to identify the factors influencing customer loyalty based on the collected customer feedback data?
Text analysis
3 multiple choice options
A data analyst working for a digital marketing agency wants to analyze customer data to identify factors that are most strongly associated with customer churn. The analyst has access to a database of customer information, which includes data such as age, gender, location, income, purchasing behavior, engagement with the agency's services, and customer satisfaction ratings.
Which data analytic technique should be used to identify factors that are strongly associated with customer churn for the agency?
Logistic regression analysis
3 multiple choice options
A car manufacturing company is looking to improve its production by analyzing how factors such as temperature, humidity, and machine performance affect production efficiency. To identify the key factor that affects efficiency the most, an analyst uses the regression analysis technique.
What justifies the use of regression analysis for the given task?
Regression analysis is used to analyze the relationship between one or more independent variables and a dependent variable.
3 multiple choice options
A data analyst working for a retail company analyzes the purchasing behavior of customers to identify patterns and recommend products.
Which data analytic technique is most appropriate for analyzing the transaction data?
Association rules analysis
3 multiple choice options
An energy company wants to predict future energy demand to optimize production. The company has an extensive data set on historical energy usage.
Which data analytic technique is best suited for this scenario?
Time series
3 multiple choice options
A pharmaceutical company wants to understand if a new drug reduces fevers. The data suggest a fever reduction when using the drug. The company's data analysts study the data to determine whether the effect observed could have occurred by chance.
Which data analytic calculation should the analysts perform?
The p-value
3 multiple choice options
What is data analytics?
The process of analyzing data to extract insights
3 multiple choice options
What is data science?
The practice of using statistical methods to extract insights from data
3 multiple choice options
How is data science different from data analytics?
Data science focuses on developing new algorithms and models, while data analytics focuses on using existing models to analyze data.
3 multiple choice options
Which comparison describes the difference between data analytics and data science?
Data analytics is the process of analyzing data to extract insights, while data science involves building and testing models to make predictions.
3 multiple choice options
Which type of data analytics project aims to determine why something happened in the past?
Diagnostic
3 multiple choice options
What are the different types of data analytics projects?
Descriptive, diagnostic, predictive, and prescriptive analytics
3 multiple choice options
What is the difference between exploratory and confirmatory data analytics projects?
Exploratory projects involve testing hypotheses and finding patterns in data, while confirmatory projects involve verifying existing hypotheses.
3 multiple choice options
Which project is considered a data analytics project?
Creating a dashboard to visualize sales data and monitor inventory levels for a grocery store chain
3 multiple choice options
Why is quality control/assurance crucial for data engineers in a data analytics project?
It ensures that the data is accurate and reliable.
3 multiple choice options
What does a data analyst do in a data analytics project?
Conducts exploratory data analysis to identify trends and patterns
3 multiple choice options
What is the function of a data scientist in an organization?
To conduct statistical analysis and machine learning modeling
3 multiple choice options
What is the role of a business intelligence analyst?
Designing and maintaining data visualizations and dashboards
3 multiple choice options
What is a primary responsibility of a data engineer?
Designing and implementing data storage solutions
3 multiple choice options
What is a primary responsibility of a machine learning engineer?
Developing predictive models using machine learning algorithms
3 multiple choice options
What is the role and function of a decision scientist within an organization?
To analyze data and provide insights to support informed decision-making
3 multiple choice options
What is a primary responsibility of a data analyst?
Conducting statistical analysis to identify patterns and trends
3 multiple choice options
What component of a data analytics project is typically completed by a data analyst?
To clean and preprocess data to prepare it for analysis
3 multiple choice options
Which task is the data analyst responsible for within a data analysis project?
Conducting statistical analyses and generating reports
3 multiple choice options
Which data migration skill is necessary for database administrators?
Transferring data between different systems or formats
3 multiple choice options
Which job skill is necessary for a researcher in a data analytics project?
Analyzing and interpreting data to inform questions
3 multiple choice options
What are the necessary skills for partners in a data analytics project?
Business domain knowledge and communication
3 multiple choice options
Which groups make up the key stakeholders in a data analytics project?
Project team members and senior management
3 multiple choice options
What role do stakeholders play in the project cycle?
Provide guidance and feedback throughout the project
3 multiple choice options
Which stakeholder should conduct literature reviews for a data analytics project?
Researcher
3 multiple choice options
Why is a project sponsor a key stakeholder in a data analytics project?
They ensure that the project aligns with business goals and objectives.
3 multiple choice options
How does a data analyst interact with stakeholders during a data analytics project?
By presenting data analysis results in an easily understandable format
3 multiple choice options
What role does a project manager play within a data analytics project?
Oversee the project team and ensure the project is completed on time and within budget
3 multiple choice options
How do stakeholders interact with data analytics projects?
By providing input throughout the project lifecycle
3 multiple choice options
Why are financial operation stakeholders important in a data analytics project?
They interpret data and provide insights to improve financial performance.
3 multiple choice options
In which phase of the Data Analytics Life Cycle does the data science team investigate the problem, develop context and understanding, learn about available data sources, and formulate initial hypotheses?
Discovery
3 multiple choice options
What is the primary purpose of the discovery phase in the data science process?
To understand the business problem and develop initial hypotheses
3 multiple choice options
Which question of interest is appropriate for a data analytics project to increase a store's sales?
Which customer segments will most likely respond to a marketing campaign?
3 multiple choice options
A data analyst works at an e-commerce company that wants to understand its customer churn rate. Their manager has tasked them with conducting a data analytics project to identify customers at risk of churn and offer these customers targeted promotions to retain their business.
What is the primary purpose of the data analytics project's results in this scenario?
To predict customer churn risk
3 multiple choice options
A data analyst works at an e-commerce company that wants to understand its customer churn rate. Their manager has tasked them with conducting a data analytics project to identify customers at risk of churn and offer these customers targeted promotions to retain their business.
What is the most suitable form of deliverable in this scenario?
Lists of at-risk customers
3 multiple choice options
A retail company wants to improve its sales and customer satisfaction by analyzing customer data. The company hired a data analytics team, which has access to the company's customer database, including transaction records, demographic information, and customer feedback. The data analytics team will work closely with the marketing and IT departments to create actionable insights for the company. The team has three months to complete the project, and the company's budget allows purchasing additional software tools or training, if necessary.
What is the most critical resource for the data analytics project?
The customer database
3 multiple choice options
A retail company wants to improve its sales and customer satisfaction by analyzing customer data. The company hired a data analytics team, which has access to the company's customer database, including transaction records, demographic information, and customer feedback. The data analytics team will work closely with the marketing and IT departments to create actionable insights for the company. The team has three months to complete the project, and the company's budget allows purchasing additional software tools or training, if necessary.
Which constraint should impact the data analytics project the most?
Insufficient time for comprehensive data analysis
3 multiple choice options
An online retail company wants to use data analytics to improve customer satisfaction and increase sales. The company has collected data on customer behavior, purchase history, and customer support interactions.
Which outcome is most appropriate for the online retail company's data analytics project?
Increasing customer satisfaction and sales through targeted recommendations and improved customer support
3 multiple choice options
Which phase of the data analytics lifecycle involves cleaning data, normalizing datasets, and performing transformations?
Data preparation
3 multiple choice options
What is the primary purpose of the data preparation phase in a data analytics project?
To clean, normalize, and transform data
3 multiple choice options
Which information tool is a possible source of data in a data analytics project?
Corporate information system
3 multiple choice options
Which data sources would be most relevant for analyzing factors affecting patient satisfaction in a healthcare company?
Web log data, call-center records, and survey responses
3 multiple choice options