Lebanese University Data Science Course Overview

Lebanese University - Faculty of Information Data Science Overview Specialized foreign course lectures 2023 Data science class Dr. Wafaa Hoteit This educational course provides introductory knowledge about data science through a set of ______ language texts to familiarize your with the terms and vocabulary used in this field.

This is required in the final exam of the course 1 In this course, we will introduce you to world of Data Science : Data Science Definition Data Science concept has been further developed and has been increasingly linked to data analytics and big data. Companies have realized the value of Data Science and its usefulness in discovering knowledge and helping with ______.

It is difficult to define data science in a formal way because it is expanding rapidly and revolutionizing many ______.

Data science is a field that involves extracting insights from data using statistical analysis and machine learning. It encompasses data acquisition, cleaning, analysis, and ______.

Its applications range from finance to healthcare, enabling organizations to make informed decisions based on ______ insights.

Data science is the use of computers, equipment, programming systems, and algorithms to solve problems and explain actual phenomena, using theories derived from other sciences, including mathematics, information systems, statistics, and ______.

The main purpose of data science is to analyze data in ways that provide useful information to a company. That can include a mix of structured, unstructured and semistructured data, typically in large amounts that make it difficult to find meaning in the data without using advanced analytics ______.

Some common data science applications in businesses include anomaly detection to aid in fraud detection and cybersecurity efforts; pattern recognition for analyzing customer purchases, stock trading and other use cases; and predictive modeling of customer behavior, market trends and financial ______.

Data mining aims to understand and discover new, previously unseen knowledge in the data. Data mining applies algorithms to the complex data set to reveal patterns that are then used to extract useful and relevant data from the set. Statistical measures or predictive analytics use this extracted data to gauge events that are likely to happen in the future based on what the data shows happened in the ______.

Concept mining is a process that focuses on extracting ideas and concepts found in documents. Concept mining is helpful in a number of applications, including the evaluation of software programs and in various applications that are generally classified as part of the artificial intelligence discipline within ______.