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Introduction of Programming for Data SCience

Hype Cycle for Emerging Technologies 2025 What is Data Science? Definition: Data science combines math and statistics, specialized programming, advanced analytics, artificial intelligence (AI) and machine learning with specific subject matter expertise to uncover actionable insights hidden in an organization’s data. These insights can be used to guide decision making and strategic planning. Link: What

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Introduction to data structure and algorithms (DSA)

What is an Algorithm? An algorithm is simply a set of rules for carrying out some calculation. either manually or on a machine. Example: the most basic algorithms one can think of are those related to addition, subtraction, multiplication and division of numbers. Types of Algorithms: Correct algorithms: Its output is always the correct answer

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Introduction and overview

Introduction In the modern digital era, almost every system we interact with—online shopping, banking, social media, and university portals—relies on database systems. Databases help organizations store, manage, and retrieve large volumes of data efficiently and securely. This article provides a clear and beginner-friendly introduction to database systems, explaining key concepts such as data, databases, DBMS,

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Microprocessor Architecture

There are four main structural components of the computer: Central Processing Unit (CPU) – controlsthe operation of the computer andperforms its data processing functions Main Memory – stores data Input/Output (I/O) – moves data betweenthe computer and its external environment System Interconnection (Bus) – somemechanism that provides forcommunication among CPU, main memory,and I/O The Computer

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Initiating System Development and Project Management with Two Topics

Initiation and feasibility Initiation Phase: The first step in an information systems development project. its aims to establish whether the project is feasible and prepare to ensure that the project is successful. Feasibility Study: The activity that occurs at the start of the project to ensure that the project is a viable business preposition. the

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Data Science & AI Student Success Plan: A Year-by-Year Guide to Landing Your Dream Role

Embarking on a career in Data Science and Artificial Intelligence is an exciting journey—but it can also feel overwhelming. With evolving tools, complex concepts, and fierce competition, it’s essential to have a clear roadmap. Whether you’re a university student or a self-learner, this 3-year success plan will guide you step-by-step from beginner to job-ready. 📅

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