Intro to Data Analytics

Question 1

Which role is responsible for project initiation and providing the requirements for a project?

Answer 1

Project sponsor

Question 2

Which job position is primarily responsible for designing and constructing data pipelines within the field of data analytics?

Answer 2

Data engineer

Question 3

Which role in a data analytics project helps data scientists shape data for analysis?

Answer 3

Data engineer

Question 4

Which role in a data analytics project provides expertise for analytical techniques?

Answer 4

Data scientist

Question 5

Which skills are required by data scientists for converting unstructured data to structured data in data analytics projects?

Answer 5

Data wrangling skills

Question 6

Which skill must a business intelligence analyst possess to collect and organize data?

Answer 6

Data preparation

Question 7

Which project-related activity typically takes up the majority of a data analyst’s time?

Answer 7

Data preparation

Question 8

Which software do business intelligence analysts use to perform their responsibilities?

Answer 8

Microsoft Excel

Question 9

What is a skill required of a data engineer?

Answer 9

Maintaining databases

Question 10

Which group of stakeholders comprises the professionals, such as line managers?

Answer 10

Business users

Question 11

Which stakeholder is primarily responsible for ensuring the desired quality of the project?

Answer 11

Project managers

Question 12

Which stakeholder has access to essential tables or storage systems and guarantees the highest levels of security in the data repository?

Answer 12

Database administrator

Question 13

Why is it significant to establish failure criteria for a data analytics project in the discovery phase?

Answer 13

It helps the team determine when it is best to accept the conclusions.

Question 14

Which stakeholder extracts and transforms data during the discovery phase?

Answer 14

Data engineer

Question 15

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?

Answer 15

Data analysis, system integration, and training

Question 16

Why is formulating an initial hypothesis an integral part of the discovery phase of the data analytics lifecycle?

Answer 16

It guides the subsequent data collection, processing, and analysis activities.

Question 17

Who should be included as stakeholders in an analytics project?

Answer 17

Anyone who will benefit from the project

Question 18

Who offers suggestions on ideas to test as the team formulates hypotheses during the discovery phase of a data analytics project?

Answer 18

Data scientists

Question 19

Which activity occurs during the data preparation phase of the data analytics lifecycle?

Answer 19

Understanding of data

Question 20

Which data visualization is most suitable for understanding the trend and progression of a variable over time in the data preparation phase?

Answer 20

Line charts

Question 21

Which task is commonly performed to identify and address data quality issues during the data preparation phase?

Answer 21

Conducting data profiling

Question 22

Which common data cleaning task is used to address the missing data in a data set?

Answer 22

Imputation

Question 23

Which task is typically performed to handle outliers during the data preparation phase?

Answer 23

Truncating extreme valueS

Question 24

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?

Answer 24

Exploring available data to understand its characteristics and suitability

Question 25

Which activity is performed during the model planning phase of a data analysis project?

Answer 25

Selecting relevant features for modeling

Question 26

Which programming language is primarily used for statistical analysis and data manipulation in the model planning phase?

Answer 26

R

Question 27

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?

Answer 27

Naive Bayes

Question 28

Which tool is used to connect users to relational databases and data warehouse appliances in the model planning phase?

Answer 28

SAS/ACCESS

Question 29

Which regression model is commonly used for predicting a continuous numerical outcome based on a set of input features?

Answer 29

Linear regression

Question 30

Which phase of the data analytics life cycle involves running analytical software packages on small datasets to test and refine models?

Answer 30

Model execution phase

Question 31

Which step is typically performed after executing the model in the model execution phase?

Answer 31

Result analysis

Question 32

Which testing procedure is used for evaluating the performance of a model in the data analytics life cycle?

Answer 32

Cross-validation

Question 33

What is the role of the SPSS modeler in the model execution phase of the data analytics life cycle?

Answer 33

It is used for applying the trained model to new data for predictions.

Question 34

How does the communication of results tie to the operationalize phase of data analytics?

Answer 34

It implements data-driven insights into business functions.

Question 35

Which data visualization tool in the communicate results phase is used to create web-based visualization?

Answer 35

D3.js

Question 36

Which measure assesses the validity of a correlation between two variables during the communicate results phase?

Answer 36

P-value