Which of the following questions relating to the core issues of data analytics examines whether the measurement should be quantitative or qualitative in nature?

Q: Big data is distinguished by two primary characteristics: its speed and its diversity. In reality,…

A: Big data is distinguished by two primary characteristics: its speed and its diversity? 1. Speed: Big…

Q: How are multi-modal data sources (e.g., textual, visual, and auditory data) integrated and analyzed…

A: Multi-modal data sources  refer to  datasets  that consist  of information from…

Q: It is critical to identify the role that OLAP plays in descriptive analytics.

A: Introduction: The abbreviation OLAP stands for online analytical processing: Software that can…

Q: It is vital to define the function of OLAP in descriptive analytics.

A: Answer : OLAP stands for Online Analytical processing . It is an analytical processing which is used…

Q: OLAP's function in descriptive analytics must be defined.

A: OLAP (Online Analytical Processing) is a technology that enables users to perform complex and…

Q: Explain three tools that are commonly used in the data preparation phase of the data analytics…

A: The data analytics lifecycle is a structured approach to solving problems or answering questions…

Q: Why do some analysts choose empirical data analysis (EDA) over hypothesis testing when it comes to…

A: Empirical Data Analysis (EDA) ) and Hypothesis Testing are two normal techniques utilized in data…

Q: 26. What are the common softwares used when analyzing quantitative data and what are their strengths…

A: Quantitative data is defined as the value of data in the form of calculations or numbers in which…

Q: It is crucial to specify the role that OLAP performs in descriptive analytics

A: What is OLAP: OLAP stands for Online Analytical Processing. It is a technology that enables…

Q: What is the significance of data normalization in Big Data analytics?

A: The process of organizing and changing data to increase its uniformity, correctness, and structural…

Q: Describe the role of OLAP (Online Analytical Processing) in data warehousing. How does it enable…

A: OLAP, also known as online analytical processing, plays a role in the field of data warehousing.It…

Q: Describe the core idea underlying in-database analytics.

A: Database analytics is a technology that allows data processing to be conducted within the database…

Q: What advantages does the process of data profiling offer

A: Data profilingData profiling is the most common way of inspecting, breaking down, and making…

Q: Define the four V's of big data (Volume, Velocity, Variety, Veracity) and explain their significance…

A: Big Data is a term used to describe datasets that are too complicated for conventional databases to…

Q: Describe the mechanism through which perspective analytics is dependent on descriptive and…

A: According to the Prescriptive analytics it deals with “what is needed making the task to be…

Q: Describe three techniques to develop systems in system analytics.

A: System Analysis It is a process of collecting and interpreting facts, diagnosing problems, and…

Q: The role of OLAP in descriptive analytics must be well defined.

A: Let's first see about the descriptive analytics. Descriptive analytics It is the field of statistics…

Q: When classifying data, when should we use the Nave Bayes approach, and when should we avoid it?

A: When to implement the Naive Bayes Algorithm When there are few training data points. In the course…

Q: What is the most critical phase in the data science process?

A: Analyzing and interpreting data is a critical stage in data science.

Q: Define the term Big Data Analytics and give five modern applications that use Big Data Analytics

A: Big Data Analytics refers to the process of examining and extracting valuable insights from large…

Q: Explain how the Data Science Methodology (DSM) is adaptive and its Advantages?

A: The Data Science Methodology (DSM) is a systematic and iterative approach to solving complex…

Q: Data Science (DS) is a predictive analytics method O True O False

A: Predictive analytics is the area of data science which focused on interpreting existing data in…