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Uses statistics and modeling techniques
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| Sana | 20.04.2024 | | Hajmi | 21.21 Kb. | | #201983 |
Bog'liq Fundamentals of Data Analysis KOPMLEKS SONLAR, Ado. Net texnologiyasi ado. Net nima o’zi , MUSTAQIL ISH, ameliy 33, 7 sinf gacha test, Detallarni chegaraviy yeyilishi va xizmat muddati, 3-4 sinf test, A harfini yaratish, 31 - savol, Asosiy polimerlar yuqori molekulyar materiallar bo\'lib, ulardan , Plastmassalarning asosiy xossalari Reja-www.hozir.org, Document 3, Diskli va rotorli o‘g‘it sochish aparatlari 11, Axtamova Mohlarbonu11, Chiziqsiz regressiya
Fundamentals of Data Analysis
1-модул
1.What percentage of all analytics flows into descriptive analytics?
80
2. The following are true about predictive analytics (select all that apply):
-Uses statistics and modeling techniques
-Used as a decision-making tool
-Defined by having a decision to make
3. "Next best offer" is an analytical prediction of the product or service that your customer is most likely to buy next.
True
4. Diagnostic analytics can tell you things like why is a machine producing more defective parts or what is an appliance using so much energy.
True
5. Exploratory analytics is often referred to as "ad hoc analysis".
True
7. The Iris data set referenced in this lesson's reading is a publicly accessible, widely referenced data set.
True
8. Advanced data analytics are characterized as being autonomous or semi autonomous.
True
10. Which type of analytics is about telling us why something happened?
Diagnostic
2-модул
The data requirements gathering process is a good time to organize information and translate technical language into business language.
True
What are the four phases of data requirements analysis?
Identifying the business context
Conducting stakeholder interviews
Synthesizing expectations and requirements
Developing source-to-target mapping
During the data collection process, it is not important to collect clean data.
False
Which of the following does "data wrangling" refer (select all that apply)?
Clean data
Enhanced data
Defined project roles
Maintaining documentation
A powerful algorithm is more important than clean data?
False
8. Cluster analysis the statistical method is used to unpack the preferences of consumers with regard to different marketing offers.
False
9. Data interpretation looks at both the raw data and aggregated, summarized, and/or calculated data?
True
10. Data visualization is the graphical representation of a quantitative message.
True
3-модул 1-тест
1. Which of the following were reasons for the evolution of NoSQL (select all that apply):
Internet
Better speed and flexibility
Growth in unstructured data
2. Document stores (also called document-oriented database) store objects based on what?
Relationships
3.Which of the following is a data source that can be queried by a SQL statement?
Database
Sheet
Workbook
SQL was developed to work with relational database management systems (RDBMS)?
True
5. Python was named after a large snake that ate the inventor's family pet rabbit?
False
6.Which of the following are essential to working in data analytics programming?
High technical proficiency
Impeccable business acumen
7. Which of the following is one of the most common programming languages used in analytics?
Python
3-модул 2-тест
Which of the following are types of math commonly found in data analytics (select all that apply)?
Discrete mathematics
Algebra (linear)
Calculus
Only holders of a Math Ph.D may work in data analytics and science?
False
3.What's the best way to learn math for data analytics?
In an applied, hands-on way
4.Advanced data analytics requires equal understanding of the algorithms and the underlying business problem to be solved.
True
5.Many advanced analytic algorithms that are consistently identified as "winners" do this?
Blend multiple models together
6.Regression is a form of this?
Data smoothing
4-модул
1.Data analytics professionals need a foundational methodology that will serve as a guiding strategy for solving problems.
True
2.How many phases are in CRIPS DM?
6
3.Which of the following best describes a data analytics methodology?
Should allow for iteration
4.What are the six steps in a data analytics workflow?
Explore
Process the data
Source the data
Deploy
Model the data
Monitor
6.A data analytics methodology is a system of methods.
True
What does CRISP-DM stand for?
Cross Industry Standard for Data Mining
Data analytics workflows are processes that support and promote efficient data wrangling.
True
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