Uplinker Courses2024 Opublikowano 1 Maja Uplinker Opublikowano 1 Maja Free Download Udemy - Mastering Data Management From Basics to Business Insights Published: 4/2025 Created by: Kevin Hutchinson MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 5 Lectures ( 1h 15m ) | Size: 551 MB Your Gateway to Data Management What you'll learn Foundational structures of data (characters, fields, records, files/databases). Concepts of data vs information and processes to create meaningful, relevant outcomes Introduction to flowcharts and how to use and apply flowcharts to solve both easy and complex problems General aspects of business and I.T. integration as well as essentials of data/information management Understanding Data Mining, Data Normalisation, Data Storage, and Data flows Requirements No formal data management experience is required - this course is designed for anyone looking to build or strengthen their understanding of data management. A curiosity about data and a desire to learn how to use it more effectively in your career or projects. Access to a laptop or desktop with an internet connection to view course materials. Description Fundamentals of Data Management - Course OverviewThis course is designed for students around the world who want to build a solid foundation in data management. Whether you're studying business, IT, or are simply curious about how data works, this beginner-friendly course introduces the key concepts in a clear, practical, and easy-to-understand way. No prior experience is needed-just a willingness to learn.You'll begin by exploring the basic components of data: characters, fields, records, and files. From there, you'll be introduced to common system models such as Input-Process-Output (IPO) and flowcharts, which help you understand how data moves and is processed within systems. You'll also learn how to structure and store data properly using techniques like normalisation, ensuring data is clean, organised, and easy to access.In the final part of the course, you'll gain a basic understanding of data mining and how data flows through various systems to support better decision-making.What You'll Learn:Data components: characters, fields, records, and filesSystem models: IPO and flowchartsOrganising data: normalisation and storageIntroduction to data mining and data flowCourse Features:Four units, each ending with a quizVisual explanations with slides and diagramsPractice and apply your own case studiesGreat for all backgrounds-no experience requiredBy the end, you'll confidently understand how data is structured, analysed, and used. Who this course is for Complete beginners - no prior experience with data or technical background required. If you're just starting out and want to understand how data is managed, this course is designed to guide you step-by-step. Aspiring data professionals - whether you're aiming to become a data analyst, data scientist, or business analyst, this course gives you a strong foundation in how data works and how to manage it effectively. Professionals exploring data for the first time - if you're working with reports, spreadsheets, or dashboards but never had formal training in data management, you'll find this course extremely valuable. Students and recent graduates - especially those studying IT, computer science, business, or information systems, who want to add real-world data knowledge to their toolkit. Junior developers or IT staff - looking to understand how data is structured, secured, and governed as part of their broader tech knowledge. Project managers and product managers - who collaborate with data teams or lead data-focused initiatives and want to speak the language of data with confidence. Entrepreneurs and small business owners - who want to build smarter systems for collecting, managing, and using data to grow their businesses. Homepage: This is the hidden content, please Zaloguj się lub Zarejestruj się This is the hidden content, please Zaloguj się lub Zarejestruj się No Password - Links are Interchangeable Cytuj
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