WGU D204 Masters of Data Analytics Journey EXAM
1. Data scientists are able to find , , and in unstruc-
tured data.: answer- order, meaning, and value
2. What is involved in the planning phase?: answer- 1. Defining goals
2. Organizing resources
3. Coordinate people
4. Schedule project
3. What is involved in the wrangling phase?: answer- 5. Get data
6. Clean data
7. Explore data
8. Refine data
4. What is involved in the Modeling phase?: answer- 9. Create model
10. Validate model
11. Evaluate model
12. Refine model
5. What is involved in the Applying phase?: answer- 13. Present model
14. Deploy model
,15. Revisit model
16. Archive assets
6. are programming languages that are very
frequent- ly used for data manipulation and modeling.: Python or R
7. 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
8. is a language for working with relational
databases to do queries and data manipulation.: SQL
9. What does SQL stand for?: structured query language
10. 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
11. 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
12. This is the phase of collecting data.: Data acquisition
13. Which phase? - Working with stakeholders to help them ask better ques-
tions so that both they and you understand the outcome.: Discovery
,14. What are the 4 parts of data analytics cycle?: Planning, Wrangling,
Modeling and Applying
15. 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,
un-
, derstand the needs of the stakeholders, and assess the resource
constraints in the project.: Business understanding
16. is the person who champions the vision of
the project and has the authority to allocate resources.: The project
sponsor
17. is responsible for making sure things get done
on time and within budget and removes roadblocks.: Project manager
18. is when new requirements are added to the project
that increases the time/resources needed to complete it.: Scope creep
19. What are the 3 types of analysis?: Descriptive, Predictive, Prescriptive
20. 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?: De- scriptive analysis
21. 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
1. Data scientists are able to find , , and in unstruc-
tured data.: answer- order, meaning, and value
2. What is involved in the planning phase?: answer- 1. Defining goals
2. Organizing resources
3. Coordinate people
4. Schedule project
3. What is involved in the wrangling phase?: answer- 5. Get data
6. Clean data
7. Explore data
8. Refine data
4. What is involved in the Modeling phase?: answer- 9. Create model
10. Validate model
11. Evaluate model
12. Refine model
5. What is involved in the Applying phase?: answer- 13. Present model
14. Deploy model
,15. Revisit model
16. Archive assets
6. are programming languages that are very
frequent- ly used for data manipulation and modeling.: Python or R
7. 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
8. is a language for working with relational
databases to do queries and data manipulation.: SQL
9. What does SQL stand for?: structured query language
10. 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
11. 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
12. This is the phase of collecting data.: Data acquisition
13. Which phase? - Working with stakeholders to help them ask better ques-
tions so that both they and you understand the outcome.: Discovery
,14. What are the 4 parts of data analytics cycle?: Planning, Wrangling,
Modeling and Applying
15. 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,
un-
, derstand the needs of the stakeholders, and assess the resource
constraints in the project.: Business understanding
16. is the person who champions the vision of
the project and has the authority to allocate resources.: The project
sponsor
17. is responsible for making sure things get done
on time and within budget and removes roadblocks.: Project manager
18. is when new requirements are added to the project
that increases the time/resources needed to complete it.: Scope creep
19. What are the 3 types of analysis?: Descriptive, Predictive, Prescriptive
20. 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?: De- scriptive analysis
21. 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
