Ppt on data science
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Data science uses data to find solutions and predict outcomes. It involves blending mathematics, business knowledge, tools, algorithms, and machine learning techniques to uncover hidden patterns in raw data. This helps with making major business decisions. Data science is used across many industries like manufacturing, e-commerce, banking, transportation, and healthcare for tasks like predicting problems, recommending products, detecting fraud, and discovering drugs. Real-world examples of data science applications include identifying online consumers, monitoring cars, and assisting in entertainment and retail brands.
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International trade of coffee Ansh Budania This document summarizes information about the global coffee trade. It discusses the types of coffee beans traded (Arabica and Robusta), the top coffee producing countries (Brazil accounting for 43.9% of global production, followed by Vietnam and Colombia), and India's role as the third largest coffee producer and exporter in Asia. It also outlines how COVID-19 impacted the coffee supply chain and financing of the coffee sector, as well as favorable future factors like increasing demand, investments, and opportunities in India's coffee market.
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ppt on Blockchain TechnologyAnsh Budania This document provides an introduction to disruptive blockchain technology. It discusses the history of bitcoin and how the first blockchain network was launched in 2008. It defines blockchain as a growing list of linked data blocks. Blockchain technology features include cutting out middlemen, building consensus across participants, and creating witnesses to published information. Key features include immutable transparent data storage without intermediaries and a consistent state across all participants. Challenges include high energy consumption, scalability issues, and risks of money laundering and personal responsibility. The document outlines potential applications of blockchain in digital currency, securities, record keeping, and smart contracts.
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- 2. DATA SCIENCE Defination data science is the process of using data to find solutions/ to predict outcomes for a problem statement.
- 3. Explanation Data science can be defined as a blend of mathematics, business acumen, tools, algorithm and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions.
- 4. Applications of data science It is used in many industries these days, ranging from entertainment to education. MANUFACTURING -- predicting potential problems. -- automatic manufacturing units. E-COMMERCE -- identifying consumers. -- recommending products. BANKING -- fraud detection. -- credit risk modelling. TRANSPORT -- enhancing safety of passengers. -- car monitoring system. HEALTHCARE -- drug discovery -- virtual assistance
- 5. E-Commerce Automobile Entertainment Brands using data science Applications in real life
- 6. Be Inspired THANK YOU BY- ANSH BUDANIA