Data Science Crash Course Statistical mathematics, advanced data analysis, and computational techniques for insightful decision making (English Edition)
-
- Englisch ausgewählt
108,99 €
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
22.04.2026
Verlag
BPB PublicationsSeitenzahl
296
Maße (L/B/H)
23,5/19,1/1,6 cm
Gewicht
557 g
Sprache
Englisch
ISBN
978-93-6589-895-8
Data science is the engine driving modern innovation, making Python mastery essential for anyone looking to turn raw information into actionable strategy. This book serves as your streamlined roadmap, bridging the gap between basic data literacy and professional-grade analytical execution. This book provides a solid foundation in Python programming, including loops and conditional statements, before advancing to high-performance libraries like NumPy, Pandas, Matplotlib, and SciPy. You will master the data analysis process, from cleaning missing values to advanced visualization with Seaborn and geospatial mapping. It concludes with the mathematical foundations of supervised and unsupervised learning, predictive mining, and building recommender systems through real-world case studies in healthcare, finance, and retail analytics. By the end of the book, you will be well-equipped to handle complex datasets and deploy predictive models with confidence. You will possess a practical understanding of data science principles and a professional project portfolio, ready to apply these skills to solve real-world problems in any industry. WHAT YOU WILL LEARN ¿ Apply supervised, unsupervised learning, and predictive mining algorithms. ¿ Configure Python environments using essential data science libraries. ¿ Optimize data manipulation using NumPy and Pandas DataFrames. ¿ Clean, structured, and unstructured data for analytical modeling. ¿ Master end-to-end data science workflows and professional roles. ¿ Implement Python control structures and complex data structures. WHO THIS BOOK IS FOR The book is designed for students, engineers, and mathematicians transitioning into data science. This book also supports analysts and managers aiming for strategic decision-making. Researchers and current professionals can strengthen their foundations, provided they possess a basic understanding of mathematics and logical reasoning.
Noch keine Bewertungen vorhanden
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.
Kurze Frage zu unserer Seite
Vielen Dank für dein Feedback
Wir nutzen dein Feedback, um unsere Produktseiten zu verbessern. Bitte habe Verständnis, dass wir dir keine Rückmeldung geben können. Falls du Kontakt mit uns aufnehmen möchtest, kannst du dich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice