What is Data Science quizzes

According to the reading, the output of a data mining exercise largely depends on:

the quality of the data

Harvard Business Review called data science the sexiest job in the 21st century.

True

Regression is a statistical technique developed by Sir Frances Galton.

True

How is Walmart reported to have addressed its analytical needs?

Outsourcing

According to the reading, what is an example of housekeeping?

Adding a list of references

Regardless of the length of the final deliverable, which of the following does the author recommend that you include:

Appendices A Cover Page Table of Contents

According to the reading, how does the author define data science?

Data science is what data scientists do.

The United States Economic Forecast is a publication by:

Deloitte University Press

According to professor Haider, the three important qualities to possess in order to succeed as a data scientist are curious, judgemental, and proficient in programming.

False

According to the reading, the author discovered that an additional bedroom adds more to the housing prices than an additional washroom.

False

According to the report by the McKinsey Global Institute, by 2018, it is projected that there will be a shortage of 140,000 - 190,000 people with deep analytical skills in the world.

False

An introductory section is always helpful in introducing the research methods and presenting the statistical calculations.

False

Hal Varian, the chief economist at Google, declared that "the sexy job in the next ten years will be computer scientists".

False

The author defines a data scientist as someone who uses complicated machine learning to build predictive models, publishes their research results in online blogs, and works from home.

False

According to the reading, in order to produce a compelling narrative, initial planning and conceptualizing of the final deliverable is of extreme importance.

True

What is an example of a data reduction algorithm?

Principle Component Analysis

The discussion sections is where you:

Rely on the power of narrative. AND Refer the reader to the research question and the knowledge gaps. AND Highlight how your findings provide the ultimate missing puzzle piece

What did the author's research reveal about proximity to large shopping centers?

The author discovered that the proximity to large shopping centers had a nonlinear impact on housing prices.

The results section is where you present:

The empirical findings

According to the reading, what characteristics are said to be exhibited by the best data scientists?

Curious people, thinkers who ask good questions and are O.K. dealing with unstructured situations.

What is admirable about Dr. Patil's definition of a data scientist is that it limits data science to activities involving machine learning.

False

When data are missing in a systematic way, you can simply extrapolate the data or impute the missing data by filling in the average of the values around the missing data.

False

The New York Times reported that the average base salary of a data scientist is $85,000 + competitive bonus.

True

The reading mentions a common role of a data scientist is to use analytics insights to build a narrative to communicate findings to stakeholders.

True

The real added value of the author's research on residential real estate properties is quantifying the magnitude of relationships between housing prices and different determinants.

True

The report discussed in the reading successfully did the job of using data and analytics to generate the likely economic scenarios.

True

The ultimate purpose of analytics is to communicate findings to stakeholders to formulate policy or strategy.

True

Based on the reading, which of the following are questions that can be put to regression analysis?

What is the impact of lot size on housing price? AND Do homes with brick exterior sell for less than homes with stone exterior?

After the data are appropriately processed, transformed, and stored, what is a good starting point for data mining?

data visualization

"Formal evaluation could include testing the predictive capabilities of the models on observed data to see how effective and efficient the algorithms have been in reproducing data." This is known as:

in-sample forecast