Fundamentals of Data Science

Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science.

Sommario

Part-I Data Science Introduction. Chapter 1: Importance of Data Science. Chapter 2: Statistics and Probability. Chapter 3: Databases for Data Science. Part II Data Modelling and Analytics. Chapter 4: Data Science Methodology. Chapter 5: Data Science Methods and Machine learning. Chapter 6: Data Analytics and Text Mining. Part III: Platforms for Data Science. Chapter 7: Data Science Tool: Python. Chapter 8: Data Science Tool: R. Chapter 9: Data Science Tool: MATLAB. Chapter 10 : GNU Octave as a Data Science Tool. Chapter 11: Data Visualization using Tableau. Index.

Info autore

Sanjeev J. Wagh, Manisha S. Bhende, Anuradha D. Thakare

Dettagli sul prodotto

• Autori: Manisha S. Bhende, Anuradha D. Thakare, Sanjeev J. Wagh, Sanjeev J. (Department of Information Techno Wagh
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 13.03.2025
• EAN: 9781032079868
• ISBN: 978-1-0-3207986-8
• Pagine: 282
• Categorie: Scienze naturali, medicina, informatica, tecnica > Matematica > Teoria delle probabilità, stocastica, statistica matematica; Scienze sociali, diritto, economia > Media, comunicazione > Commercio librario, biblioteconomia; BUSINESS & ECONOMICS / Statistics, COMPUTERS / Programming / Games, computer science, Data analysis: general, Data science and analysis: general, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Database Administration & Management