Survey of data science

• Titel: Survey of data science
• Mitwirkende: Mawata, Chris [MitwirkendeR]
• Mitwirkende: Dennison, Justin [MitwirkendeR]
• Institutionen: ACI Learning (Firm), [MitwirkendeR]
• Institutionen: Packt Publishing, [Verlag]
• Verf.angabe: ACI Learning, Chris Mawata, Justin Dennison
• Ausgabe: [First edition].
• Verlagsort: [Birmingham, United Kingdom]
• Verlag: Packt Publishing
• E-Jahr: 2024
• Jahr: [2024]
• Umfang: 1 online resource (1 video file (8 hr., 43 min.))
• Illustrationen: sound, color.
• Fussnoten: Online resource; title from title details screen (O'Reilly, viewed May 7, 2024)
• ISBN: 978-1-83620-189-2
• ISBN: 1-83620-189-3
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Exploration de données (Informatique)
• Sach-SW: Instructional films
• Sach-SW: Nonfiction films
• Sach-SW: Internet videos
• Sach-SW: Films de formation
• Sach-SW: Films autres que de fiction
• Sach-SW: Vidéos sur Internet
• K10plus-PPN: 1890483761
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4533710867
• Lokale URL Inst.: Zum Volltext

Abstract

Our "Survey of Data Science" course provides a deep dive into the world of data analysis and modeling, equipping learners with the skills to transform raw data into insightful decisions. Starting with an introduction to data scientists' roles and activities, the course progresses through data exploration and analysis. You will learn about the importance of data hygiene, statistical foundations, and the power of visualization to communicate data-driven insights effectively. As the course unfolds, it covers complex topics such as handling unstructured data, building associative rules, decision trees, and regression models, and delves into sophisticated areas like neural networks and natural language processing. The Lambda architecture section will illuminate real-time and batch data processing, essential for handling big data scenarios in professional settings. The course not only provides technical skills but also emphasizes practical application, preparing participants to apply their knowledge in real-world situations. This journey will equip you with the expertise to navigate the challenges of modern data science, making you an asset in various industry roles.