Long Q/A Data and Analysis - Students Free Notes

Design a case study about how data science and big data have revolutionized the field of healthcare.

Case Study: The Use of Big Data in Predicting and Managing Chronic Diseases Background:Chronic diseases such as diabetes, heart disease, and hypertension are major health concerns worldwide, leading to high healthcare costs and reduced quality of life. Healthcare providers are increasingly turning to big data and data science to predict, manage, and prevent these conditions. … Read more

Relate the advantages and challenges of big data.

Advantages of Big Data: Improved Decision-Making:Big data allows organizations to make data-driven decisions, eliminating reliance on intuition or historical trends. By analyzing large datasets, businesses gain insights into customer behavior, market trends, and operational efficiencies that can inform strategic decisions. Enhanced Personalization:Big data enables businesses to offer personalized services and products. For example, streaming platforms … Read more

Compare how big data is applicable to various fields of life. Illustrate your answer with suitable examples.

Big data has widespread applications across various fields, transforming industries and enabling advancements in numerous areas. Let’s explore how big data impacts different sectors: Healthcare:Big data is revolutionizing healthcare by enabling the analysis of vast amounts of medical data, from patient records to diagnostic images and genetic data. For example, predictive analytics based on big … Read more

Develop your own thinking on the various data types used in data science.

In data science, the classification of data types is crucial for selecting the appropriate analysis methods and tools. The major types of data used in data science are: Numerical Data (Quantitative Data):This data type consists of numbers that can be measured and used in mathematical calculations. There are two main types: Discrete Data: These are … Read more

Sketch the key concepts of data science in your own words.

Data science is an interdisciplinary field that focuses on extracting knowledge and insights from structured and unstructured data through various scientific methods, algorithms, and systems. The key concepts in data science include: Data Collection and Acquisition: This is the first step in the data science process, where data is gathered from various sources like databases, … Read more