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IBM Data Science Professional Certificate Course Answers 2022
IBM Data Science Professional Certificate Course Answers 2022
Quiz 1- The Sexiest Job in the 21st Century
IBM Data Science Professional Certificate Course Answers 2022: 1. Which of the following jobs was called by the Harvard Business Review the sexiest job of the 21st century?
- Coal Mining
- Data Science
- Math and Statistics
- Renewable Energy Engineering.
2.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.
3. Walmart addressed its analytical needs by approaching Kaggle to host a competition for analyzing its proprietary data.
4.The New York Times reported that the average base salary of a data scientist is $85,000 + competitive bonus.
5. 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.
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Quiz 2-What Makes Someone a Data Scientist?
1. Hal Varian, the chief economist at Google, declared that the sexy job in the next ten years will be
- Computer Scientists.
2..The author defines a data scientist as someone who finds solutions to problems by analyzing data using appropriate tool and then tells stories to communicate their finding to the relevant stakeholders.
3. According to the reading the author defines data science as the art of uncovering the hidden secrets in data.
4. What is admirable about Dr. Patil’s definition of a data scientist is that it limits data science to activities involving
5.According to the reading the characteristics exhibited by the best data scientists are those who are curious, ask good questions, and are O.K. dealing with unstructured situations.
Quiz – DATA MINING
1.According to the reading the output of a data mining exercise largely depends on:
- The data scientist.
- The programming language used.
- The quality of the data.
- The scope of the project.
Quiz – Regression
1.Based on the reading which of the following best describes the real added value of the author’s research on residential real estate properties?
- The research determined that there was no correlation between proximity to shopping centres and housing
- Quantifying the magnitude of relationships between housing prices and different determinants.
- Quantifying people’s preferences of rent transport services.
- The research revealed findings opposed bak perceptions that people hold about the real estate properties
2.Regression is a statistical technique developed by Blaise Pascal.
3.According to the reading the author discovered that an additional bedroom adds more to the housing prices than an additional washroom.
4.The author discovered that houses located more than 2.5 kms to shopping centres sold for less than the rest.
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Quiz 1 – The Final Deliverable
1. According to the reading what is the ultimate purpose of analytics?
- To efficiently store big data with minimum storage requirements.
- To evangelize data science
- To communicate findings to stakeholders to formulate policy or strategy
- To facilitate meetings between sales and marketing
2. What role of a data scientist is discussed in the reading?
- Using insights to build a narrative to communicate findings.
- Managing a team of analysts to create a predictive model.
- Using the data to put together a story that the CEO wants to tell.
- Developing a strategy to fix the problems in the findings.
3.The Unted States Economic Forecast is a publication by McKinsey University Press.
4.The report discussed in the reading successfully did the job of:
- Using data and analytics to generate the likely economic scenarios
- Calculating projections for the economy
- Summarizing pages and pages of research.
- Convincing the leadership team to act on an initiative
5. According to the reading, in order to produce a compelling narrative, initial planning and conceptualizing of the final deliverable is of extreme importance.
Quiz 2 – The Report Structure
1.An introductory section is always helpful in introducing the research methods and presenting the statistical calculations.
2. The results section is where you present:
- The empirical findings.
- OR Squared.
- The methods used.
- The conclusion
3.The discussion section is where you introduce the research methods and data sources used for the analysis.
4.Adding a list of references and an acknowledurent section are examples of housekeeping according to the author.
Final Assignment about Data Science and Reports
Q1. Based on the videos and the reading material, how would you define a data scientist and data science?
Ans. Data Science:
- Data science is something that data scientist do.
- Data science is a way of extracting insights from large volumes of disparate data.
- Data science involves drawing patterns from seemingly random structured and unstructured type of data.
- Information researchers are interested and insightful scholars who utilize an assortment of math abilities not restricted to Mathematics, Statistics and Probability to take care of an issue.
- They apply different accessible strategies and calculations to reach bits of knowledge and inferences from different sorts of information.
- In the wake of applying information science approaches, they are successful communicators and narrators who can introduce their discoveries frequently to introduce new discoveries or affirm what was at first thought.
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