with verified answers
3 ways to list a project Ans✓✓✓ 1. Hold a meeting
2. Categorize tasks (WBS) Work Breakdown Structure
3. Ask Others
A data analytics project manager has been asked to complete a project on a very
short timeline. What action is likely to yield positive results? Ans✓✓✓ Expand
the team with experienced staff
A data analytics project team is preparing to develop a predictive model that will
be included within a business intelligence tool for upper management. Which
step should be considered for inclusion when creating the project schedule?
Ans✓✓✓ Business intelligence tool interface training
A specific drug is manufactured for the treatment of depression. The company
decides to ignore research results on an alternative, less expensive, drug
treatment in order to make higher profile.
Which ASA ethical standard has the company violated? Ans✓✓✓ Conflict of
Interest
A U.S company collects and sells information on consumers.
Which law prevents the company from collecting information on European Union
consumers without their permission? Ans✓✓✓ General Data Protection
Regulation
Actionable insights Ans✓✓✓ Controllable and Practical
,Active Listening Ans✓✓✓ Cue into the verbal and nonverbal messages and the
intent of what is being said
After you develop a problem that you want to solve and perform cleaning on the
data, what are you now ready to do? Ans✓✓✓ Conduct exploratory data
analysis.
AI(Artificial Intelligence) Ans✓✓✓ a replica of the human brain that can solve
cognitive task. Programs that learn from data and machine learning.
Algebra Ans✓✓✓ use to scale up solution
An analyst has been asked to analyze the open-ended responses from customers
on a satisfaction survey. Which type of data is the analyst working with on this
project? Ans✓✓✓ Quantitative
An analyst realizes that the data set has been reduced significantly, resulting in
sample sizes that are too small. In which phase of the data analytics life cycle did
this likely occur? Ans✓✓✓ Data mining
An analyst realizes the the data set has been reduced significantly, resulting in
sample sizes that are too small. In which phase of the data analytics life cycle did
this likely occur? Ans✓✓✓ Data mining
An example of API Ans✓✓✓ JSON
,Analyst Ans✓✓✓ they are the worker bees of data analytics. They deal with data
for businesses using the data life cycle
Andre is part of a data science team. He is good at creating visualizations and
reports. Which role on the team is best for him? Ans✓✓✓ Data analyst
Anomaly Detection Ans✓✓✓ process of identifying rate or unexpected items or
events in a data set that do not conform to other items in the data set.
Another name for Data Acquisition Ans✓✓✓ Extraction Data, gathering Data,
query Data collection, ETL (extract, transform, load), Web scrapping
Another name for data exploration Ans✓✓✓ Exploratory Data Analysis (EDA)
Descriptive Statistics
Another name for Data Mining Ans✓✓✓ Machine Learning
Deep Learning
AI (artificial intelligence)
Supervised/ Unsupervised Models
Another name for Predictive Modeling Ans✓✓✓ Data Modeling
Correlation based models
Regression models
Time series
Another name for Reporting and Visualization Ans✓✓✓ Dashboards
, Applying Phase Ans✓✓✓ 1 Present Model
2 Deploy Model
3. Revisit the Model
4. Archive Assets
Autocorrelation Ans✓✓✓ means that each point in time is influenced by the
points that came before it.
Automated Code Review Ans✓✓✓ use of analytics method to inspect and review
the source codes to detect bugs or security issues
Bayes' Theorm Ans✓✓✓ posterior probability as a function of the likelihood, the
probability of getting the data you found
Bayesian analysis Ans✓✓✓ a statistical paradigm that answers research
questions about unknown parameters using probability statements. For example,
what is the probability that the average male height is between 70 and 80 inches
or that the average female height is between 60 and 70 inches?
BI(Business Intelligence) Ans✓✓✓ rely on structured dashboards. emphasize
speed, insight, access
Bokeh Ans✓✓✓ can create interactive charts and graphs. It allows you to create
tools for the user so they can access and explore your visualizations.