Post Assessment Test data analysiss.pptx

Questions and answers on data analytics

1. Practice Questions 1 (Post Assessment Test) 1. What is Data Analytics? a) The process of collecting data from various sources b) The practice of analyzing data to extract meaningful insights c) The art of creating beautiful visualizations d) The study of data storage techniques 2. Data Analytics is only relevant for large organizations. a) True b) False 3. Which of the following is NOT a key component of Data Analytics? a) Data collection b) Data cleaning c) Data visualization d) Data encryption 4. Why is Data Analytics important? a) It helps organizations make informed decisions b) It’s only relevant for tech companies c) It’s a hobby for data enthusiasts d) It’s a trendy buzzword 5. What does the term “big data” refer to in Data Analytics? a) Large datasets that cannot be processed by traditional methods b) Data collected from social media platforms c) Data with high accuracy d) Data stored in spreadsheets 6. Autonomous Vehicles (AVs) rely on data analytics. a)True b) False 7. What role does big data play in making AVs a reality? It enables AVs to communicate with their surroundings b) It improves AV aesthetics c) It reduces AV maintenance costs d) It enhances AV speed 8. Big data technologies are not relevant for AVs. a) True b) False HPIL MANPOWER

2. Practice Answer 1 (Post Assessment Test) Answers A B D A A A A B HPIL MANPOWER

3. Practice Answer 2 (Post Class Test) 1. What is the primary goal of descriptive analytics To predict future outcomes b) To explain why something happened c) To recommend actions for the future d) To simply describe what has happened 2. What does diagnostic analytics help you understand?. Future trends b) Past events c) Causal relationships d) Predictive models 3. What is the main purpose of predictive analytics? a) To analyze historical data b) To explain past events c) To predict future outcomes d) To recommend actions 4. What does prescriptive analytics recommend? Actions to affect future outcomes b) Descriptions of past events c) Causes of specific trends d) Predictive models 5. Descriptive analytics aims to establish cause-and-effect relationships. a)True b) False 6. Predictive analytics predicts what is most likely to happen in the future. a)True b) False 7. Diagnostic analytics helps you understand why something happened in the past a) True b) False HPIL MANPOWER

4. Practice Questions 2 (Post Assessment Test) Answers D C C A B A B HPIL MANPOWER

5. Practice Questions 3 (Post Class Test) What is the primary purpose of defining the research objective in data analytics? A) To gather as much data as possible B) To determine the methods for data analysis C) To establish a clear goal for the research D) To identify potential data sources Which of the following is NOT a consideration when identifying the data needed for research? A) Data relevance B) Data quantity C) Data color D) Data accuracy How does linking research questions to business goals benefit an organization? A) It ensures that the research is focused and relevant B) It allows for random data collection C) It increases the complexity of the research D) It is only beneficial for large corporations The research objective should be vague to allow for flexibility in the research process. A) True B) False Research questions that are not aligned with business goals can still provide valuable insights. A) True B) False Which of the following best describes a well-defined research objective? A) Broad and adaptable B) Specific and measurable C) Complex and detailed D) Simple and vague Answer What is the importance of data triangulation in identifying the data needed? A) To ensure that the data is colorful B) To confirm the accuracy and validity of the data C) To increase the quantity of data D) To make the data analysis process longer Answer What is the outcome of effectively linking research questions to business goals? A) Decreased relevance of research findings B) Increased chances of achieving business objectives C) Unfocused research direction D) Irrelevant data collection A clear research objective can guide the methodology and type of data to be collected. A) True B) False It’s essential to consider both data privacy and ethical implications when identifying data for research. A) True B) False HPIL MANPOWER

6. Practice Questions 2 (Post Assessment Test) Answers D C C A B A B HPIL MANPOWER

7. Practice Questions 4 (Post Class Test) What is the first step in data processing? A) Data cleaning B) Data integration C) Data collection D) Data interpretation During data exploration, what are analysts primarily looking for? A) Patterns and anomalies B) Data entry errors C) Software to analyze data D) Final conclusions What is the main goal of performing data analysis? A) To collect large sets of data B) To transform data into actionable insights C) To create visually appealing charts D) To store data for long-term use Which of these is a qualitative data analysis technique? A) Regression analysis B) Content analysis C) Time-series analysis D) Descriptive statistics What does data processing aim to achieve? A) Increase the quantity of data B) Make data suitable for analysis C) Reduce the cost of data storage D) Simplify data entry procedures Data exploration is only concerned with finding the correct answers to specific questions. (True/False) Data analysis can be performed without prior data cleaning. (True/False) Regression analysis is used to predict the relationship between variables. (True/False) Content analysis is a technique used to analyze numerical data. (True/False) Performing data analysis is an iterative process that may require going back to previous steps. (True/False) HPIL MANPOWER

8. Practice Answer 4 (Post Assessment Test) Answers C A B B B False False True False True HPIL MANPOWER

9. Practice Questions 5 (Post Class Test) What is a key element of creating an effective data report? A) Using complex vocabulary to describe the data B) Including as much data as possible C) Tailoring the report to the audience’s needs D) Focusing solely on visual elements Why is it important to validate the needs of stakeholders in data analytics? A) To ensure the data collected is expensive B) To guarantee the privacy of data C) To align the data analysis with stakeholder expectations D) To increase the volume of data What does interpretation of data in analytics aim to provide? A) Confusing insights that require expert analysis B) Clear insights that can inform decision-making C) Data that supports only one hypothesis D) Ambiguous results that need further investigation Effective communication of results is essential because: A) It ensures that data is kept confidential B) It allows stakeholders to understand and act on the findings C) It makes the data analyst’s job easier D) It prevents the need for further data collection An effective data report should: A) Be as lengthy as possible B) Use technical jargon to demonstrate expertise C) Be clear, concise, and focused on key findings D) Include all the raw data for transparency An effective data report should prioritize aesthetic design over clarity. (True/False) Stakeholder needs should be considered only after the data analysis is complete. (True/False) Interpretation of data should be biased towards the initial hypothesis. (True/False) Communicating results effectively involves using technical terms to showcase thorough analysis. (True/False) The primary goal of data analysis is to generate complex reports that only experts can understand. (True/False) HPIL MANPOWER

10. Practice Answer 5 (Post Assessment Test) Answers C C B B C False False False False False HPIL MANPOWER

11. Practice Questions 6 (Post Class Test) Which of the following is a common data visualization technique? A) Heatmap B) Spreadsheet C) Word document D) Database What is the main purpose of using visualization tools in data analytics? A) To store large amounts of data B) To make data interpretation intuitive and accessible C) To replace traditional reporting methods D) To increase data processing time Which of these is considered a visualization best practice? A) Using a wide variety of colors and fonts B) Making the visualization as complex as possible C) Tailoring the visualization to the audience’s understanding D) Including all available data in one chart Tableau and Power BI are examples of: A) Data storage systems B) Data processing frameworks C) Data visualization tools D) Data collection methods A good data visualization should: A) Focus on aesthetic appeal over clarity B) Use 3D charts whenever possible C) Communicate information clearly and effectively D) Contain as much detail as possible A common mistake in data visualization is overloading the chart with too much information. (True/False) Visualization tools are only useful for creating graphs and charts. (True/False) One of the best practices in visualization is to use 3D effects to make the data stand out. (True/False) The choice of color in data visualization is only a matter of personal preference and has no impact on understanding. (True/False) Effective visualizations require an understanding of the data and the context in which it will be presented. (True/False) HPIL MANPOWER

12. Practice Answer 6 (Post Assessment Test) Answers A B C C C True False False False True HPIL MANPOWER

13. Practice Questions 7 (Post Class Test) Leveraging data-driven insights primarily helps organizations in: A) Reducing the amount of data collected B) Making informed strategic decisions C) Increasing data storage costs D) Complicating decision-making processes When recommending actions based on data insights, it is important to: A) Ignore the data trends B) Consider the potential impact and feasibility C) Focus only on short-term outcomes D) Avoid communicating the recommendations clearly A comprehensive data strategy should include: A) Plans for data disposal only B) Guidelines for data usage, storage, and management C) A focus on collecting as much data as possible D) An avoidance of data security measures Data-driven insights can be used to: A) Justify preconceived notions B) Drive change and innovation within an organization C) Disregard customer feedback D) Limit the scope of business operations The ultimate goal of a data strategy is to: A) Confuse stakeholders B) Ensure data is used as a key asset for growth C) Decrease the quality of data analysis D) Focus solely on data collection Data-driven insights should only be used for creating reports, not for making decisions. (True/False) Recommending actions without considering data insights can lead to better outcomes. (True/False) A data strategy is only concerned with the technical aspects of data management. (True/False) Leveraging data-driven insights is only beneficial for large corporations, not small businesses. (True/False) A good data strategy considers both current and future business needs. (True/False) HPIL MANPOWER

14. Practice Answer 7 (Post Assessment Test) Answers B B B B B False False False False True HPIL MANPOWER