D204:
The Data Analytics Journey Questions And 100% Correct Answers(verified
1. Data scientists are able to find , , and in unstruc-
tured data.: order, meaning, and value
2. What is involved in the planning phase ANS : 1. Defining goals
2. Organizing resources
3. Coordinate people
4. Schedule project
3. What is involved in the wrangling phase ANS : 5. Get data
6. Clean data
7. Explore data
8. Refine data
4. What is involved in the Modeling phase ANS : 9. Create model
10. Validate model
11. Evaluate model
12. Refine model
,5. What is involved in the Applying phase ANS : 13. Present model
14. Deploy model
15. Revisit model
16. Archive assets
6. are programming languages that are very fre-quently used for data
manipulation and modeling.: Python or R
7. are general-purpose languages that are used for the backend, 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 databas-es to do queries and
data manipulation.: SQL
9. What does SQL stand for ANS : 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 fo-
cus 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 ANS : Planning, Wrangling,
Model-ing 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 theproject and has the
authority to allocate resources.: The project sponsor
17. is responsible for making sure things get done ontime and within
budget and removes roadblocks.: Project manager
18. is when new requirements are added to the project thatincreases the
time/resources needed to complete it.: Scope creep
19. What are the 3 types of analysis ANS : 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 ANS : Descriptive analysis
21. makes predictions about future state of busi- ness. Forecasting
volumes for example. Based on last summer and winter,what will we sell
The Data Analytics Journey Questions And 100% Correct Answers(verified
1. Data scientists are able to find , , and in unstruc-
tured data.: order, meaning, and value
2. What is involved in the planning phase ANS : 1. Defining goals
2. Organizing resources
3. Coordinate people
4. Schedule project
3. What is involved in the wrangling phase ANS : 5. Get data
6. Clean data
7. Explore data
8. Refine data
4. What is involved in the Modeling phase ANS : 9. Create model
10. Validate model
11. Evaluate model
12. Refine model
,5. What is involved in the Applying phase ANS : 13. Present model
14. Deploy model
15. Revisit model
16. Archive assets
6. are programming languages that are very fre-quently used for data
manipulation and modeling.: Python or R
7. are general-purpose languages that are used for the backend, 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 databas-es to do queries and
data manipulation.: SQL
9. What does SQL stand for ANS : 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 fo-
cus 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 ANS : Planning, Wrangling,
Model-ing 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 theproject and has the
authority to allocate resources.: The project sponsor
17. is responsible for making sure things get done ontime and within
budget and removes roadblocks.: Project manager
18. is when new requirements are added to the project thatincreases the
time/resources needed to complete it.: Scope creep
19. What are the 3 types of analysis ANS : 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 ANS : Descriptive analysis
21. makes predictions about future state of busi- ness. Forecasting
volumes for example. Based on last summer and winter,what will we sell
