D204: The Data Analytics Journey Questions
with Verified Correct Answers
Data scientists are able to find ______, _________, and _____ in unstructured data.
order, meaning, and value
What is involved in the planning phase?
1. Defining goals
2. Organizing resources
3. Coordinate people
4. Schedule project
What is involved in the wrangling phase?
5. Get data
6. Clean data
7. Explore data
8. Refine data
What is involved in the Modeling phase?
9. Create model
10. Validate model
11. Evaluate model
12. Refine model
What is involved in the Applying phase?
13. Present model
14. Deploy model
,15. Revisit model
16. Archive assets
____________________ are programming languages that are very frequently used for
data manipulation and modeling.
Python or R
___________ are general-purpose languages that are used for the back end, the
foundational elementsterm-26 of data science, and they provide maximum speed.
C, and C++, and Java
____________________ is a language for working with relational databases to do
queries and data manipulation.
SQL
What does SQL stand for?
structured query language
This is where you actually create the statistical model and you do the linear regression.
You do the decision tree. You do the deep learning neural network.
Modeling
These are the developers, and the system architects, the people who focus on the
hardware and the software that make data science possible
Data engineers
This is the phase of collecting data.
Data acquisition
,Which phase? - Working with stakeholders to help them ask better questions so that
both they and you understand the outcome.
Discovery
What are the 4 parts of data analytics cycle?
Planning, Wrangling, Modeling and Applying
This phase is also known as the discovery phase. During this phase, an analyst defines
the major questions of interest that need to be answered, understand the needs of the
stakeholders, and assess the resource constraints in the project.
Business understanding
____________________ is the person who champions the vision of the project and has
the authority to allocate resources.
The project sponsor
__________________ is responsible for making sure things get done on time and within
budget and removes roadblocks.
Project manager
___________ is when new requirements are added to the project that increases the
time/resources needed to complete it.
Scope creep
What are the 3 types of analysis?
Descriptive, Predictive, Prescriptive
, ___________________________ describes the data that is present. Mean, Median,
Mode, counting things. How many of each size and color of shirt were sold in the last
month? Do we sell more shirts in the summer vs winter?
Descriptive analysis
____________________ makes predictions about future state of business. Forecasting
volumes for example. Based on last summer and winter, what will we sell next year?
Predictive analytics
_______________________ analysis with an end goal of making a recommendation.
What colors and sizes of shirts should we sell to maximize profits?
Prescriptive analytics
______________________ is just looking at any variable over time
Time series analysis
____________________ is a programing language that is specific to statistics. It also has
capabilities to visualize data.
R
_______________ is a multipurpose programing language that has libraries that extend
its capabilities to do statistical analysis.
Python
______________________ are platforms that specialize in visualization. This is where
you can make graphs and charts for presentations and data storytelling to executive
leaders.
Tableau and Power BI
with Verified Correct Answers
Data scientists are able to find ______, _________, and _____ in unstructured data.
order, meaning, and value
What is involved in the planning phase?
1. Defining goals
2. Organizing resources
3. Coordinate people
4. Schedule project
What is involved in the wrangling phase?
5. Get data
6. Clean data
7. Explore data
8. Refine data
What is involved in the Modeling phase?
9. Create model
10. Validate model
11. Evaluate model
12. Refine model
What is involved in the Applying phase?
13. Present model
14. Deploy model
,15. Revisit model
16. Archive assets
____________________ are programming languages that are very frequently used for
data manipulation and modeling.
Python or R
___________ are general-purpose languages that are used for the back end, the
foundational elementsterm-26 of data science, and they provide maximum speed.
C, and C++, and Java
____________________ is a language for working with relational databases to do
queries and data manipulation.
SQL
What does SQL stand for?
structured query language
This is where you actually create the statistical model and you do the linear regression.
You do the decision tree. You do the deep learning neural network.
Modeling
These are the developers, and the system architects, the people who focus on the
hardware and the software that make data science possible
Data engineers
This is the phase of collecting data.
Data acquisition
,Which phase? - Working with stakeholders to help them ask better questions so that
both they and you understand the outcome.
Discovery
What are the 4 parts of data analytics cycle?
Planning, Wrangling, Modeling and Applying
This phase is also known as the discovery phase. During this phase, an analyst defines
the major questions of interest that need to be answered, understand the needs of the
stakeholders, and assess the resource constraints in the project.
Business understanding
____________________ is the person who champions the vision of the project and has
the authority to allocate resources.
The project sponsor
__________________ is responsible for making sure things get done on time and within
budget and removes roadblocks.
Project manager
___________ is when new requirements are added to the project that increases the
time/resources needed to complete it.
Scope creep
What are the 3 types of analysis?
Descriptive, Predictive, Prescriptive
, ___________________________ describes the data that is present. Mean, Median,
Mode, counting things. How many of each size and color of shirt were sold in the last
month? Do we sell more shirts in the summer vs winter?
Descriptive analysis
____________________ makes predictions about future state of business. Forecasting
volumes for example. Based on last summer and winter, what will we sell next year?
Predictive analytics
_______________________ analysis with an end goal of making a recommendation.
What colors and sizes of shirts should we sell to maximize profits?
Prescriptive analytics
______________________ is just looking at any variable over time
Time series analysis
____________________ is a programing language that is specific to statistics. It also has
capabilities to visualize data.
R
_______________ is a multipurpose programing language that has libraries that extend
its capabilities to do statistical analysis.
Python
______________________ are platforms that specialize in visualization. This is where
you can make graphs and charts for presentations and data storytelling to executive
leaders.
Tableau and Power BI
