Question: Give suggestions and feedback to others on the elevator pitch as per below details. Tailor your elevator pitch to this job. In particular, a few areas to consider including are why do you want to get a job as a data scientist/why do you want to go into data science or change careers, why are you interested in the company or position. What skills and experiences do you bring to the position? Try to highlight what makes you uniquely valuable instead of using generalizations that anyone could say. Note: Highlighted one is question and remaining part is supporting materials only. Please need short answers in bullet points or in paragraph. We need short answers in 4/5/ sentences.

Q: Please elaborate on how volume, velocity, and variety, the three defining characteristics of big…

A: Big Data has 5 characteristics among which are volume, velocity, and variety.

Q: Things to keep in mind while switching from a custom-built solution to a corporate analytics system.

A: Introduction: A tradeoff (or tradeoffs) is a situational decision in which one quality, quantity, or…

Q: Please describe the relationship between the data that healthcare providers gather, such as mercy…

A: In the healthcare industry, healthcare providers gather vast amounts of data, including patient…

Q: - According to a recent report by Gartner, most business users will have access to some sort of…

A: Hey, since there are multiple questions posted, we will answer first question. If you want any…

Q: What is big data? Explain in detail all the requirements for data to be considered big data. Emma…

A: Big data is a term that describes the large volume of data – both structured and unstructured – that…

Q: Who is a data scientist, and what do they do? How much schooling and experience are needed to become…

A: Simply put, a data scientist's work is analysing data to uncover useful insights. Specific…

Q: Please describe your own data analytics knowledge, including tools, projects, and how you've used…

A: Data is one of the most important asset of an individual. Similarly data plays a crucial role in…

Q: Why do you think it is important to learn how to use a spreadsheet application like MSExcel? Why do…

A: Hi.. pls find your answers below

Q: You were shocked to see that Sunny Delight is a pretty small company given the number of unique…

A: Introduction: No. It's hardly surprising that Sunny Delight has so many analytics tools. Every time…

Q: Why is data quality important in data warehousing? Explain the benefits and symptoms of good data.

A: INTRODUCTION: Data Warehousing (DW): The data warehouse is the heart of a business intelligence (BI)…

Q: Transactional and Analytical Data-Part 1 The two primary types of data are transactional and…

A: Here,The goal of this activity is for you to identify what constitutes transactional and analytical…

Q: Why do you think big data differs from other forms of information? Can you list three of these…

A: The Unique Nature of Big DataBig data is a term that has significantly changed the landscape of data…

Q: What are your ideas on data quality and data warehousing? Provide benefits and indicators of…

A: Given: What are your ideas on data quality and data warehousing? Provide benefits and indicators of…

Q: Please describe your personal data analytics knowledge, including tools, projects, and how you've…

A: Introduction One of a person's most valuable possessions is their data. Similarly data plays a…

Q: sts. 50-200-word response, please advise if this is a career or why not? path that interests you?

A: The answer given as below:

Q: WHAT IS POOR DATA VALIDATION and how can we do this Challenge step by step?

A: Poor Data Validation:- When an application does not validate submitted data correctly or…

Q: When working with big data, it's important to identify and describe the challenges that come with…

A: Big Data is a subfield of computer science that includes collecting a massive amount of data,…

Q: What business case can explain the data science project life cycle?

A: Business case can explain the data science project life cycle: Data Science Life Cycle: Business…

Q: Explain the fundamental concepts of data warehousing and its importance in business intelligence.

A: Data warehousing and business intelligence are crucial components of modern data management and…

Q: Include a discussion of the various types of visuals used in technical papers alongside your data…

A: Ethnographic study has traditionally used photographs and film. Social situations are often…

Q: Do you have any experience using data mining or analytics techniques in the past? For the duration…

A: 1. Data Mining and Analytics Experience:In my past experience, I have leveraged various data mining…

Q: Senior management has asked you to research a Big Data topic. They would like you to choose one of…

A: We're looking at the healthcare industry because it generates a lot of data and is primarily driven…

Q: You were shocked to see that Sunny Delight is a pretty small company given the number of unique…

A: According to the information given:- We have to define the potential effects may the many ownership…

Q: Explain how any business analytics classes you took had an impact on the group projects and/or tasks…

A: Given: Experiential Learning gives students with firsthand experience, allowing them to integrate…

Q: Explain how any business analytics classes you took had an impact on the group projects and/or tasks…

A: Given: Experiential Learning gives students with firsthand experience, allowing them to integrate…

Q: What is Quantitative: Longitudinal  Designs research approach?  Why would you use it?

A: Quantitative longitudinal designs are a research approach that involves collecting data from the…

Q: Examine the parallels and contrasts between Big Data and classic marketing

A: Traditional marketing and big data: Bigdata: Big data is a massive volume of data that may be…

Q: What are the primary advantages that may be gained by using big data in a competitive environment?

A: Big data consists of structured, semi-structured and unstructured information gathered by…

Q: What terminology would you choose to describe the importance of data in analytics? Can you think of…

A: Analytics of data Analytics is the practise of analysing datasets to make inferences about the…

Q: What are JAD and RAD, and how do they compare to other data gathering techniques? Can you describe…

A: Two application improvement types are Joint Application Design (JAD) and Rapid Request Development…

Q: You are a sales manager at a retail company. You have been given the Sample Superstore dataset to…

A: The above question asks the respondent to imagine that they are a sales manager at a retail company…

Q: What are some of the reasons why you believe that the quality of the data is one of the most…

A: Please find the answer in the following steps.

Q: Please explain your personal data analytics expertise, including tools, projects, and leveraging…

A: Individuals and companies benefit from data analytics because it enables them to make sense of their…

Q: Do you think big data analytics help significantly in the Covid-19 mitigation?

A: - Question asked is whether Big Data analytics helps in the mitigation of covid-19.

Q: What are some key challenges and considerations when selecting a big data analytics platform for a…

A: Choosing the data analytics platform for a particular business use case is a crucial decision that…

Q: You were shocked to see that Sunny Delight is a pretty small company given the number of unique…

A: Introduction: That even a tiny business like Sunny Delight would wind up with so many distinct…

Q: Is it strange to you that a business as tiny as Sunny Delight could wind up with so many distinct…

A: YES, it is surprising that a relatively small company like Sunny Delight uses too many analytics…

Fundamentals of Managing Data

Data management is creating, organizing, storing and managing the data collected and created by any organization.Effective data management is a crucial part of today's world. Data management provides analytical information on the vast amount of data collected from business applications daily, which helps make critical business decisions and plan and bring out the best strategies.