From Zero to Hero
- Indbinding:
- Paperback
- Sideantal:
- 212
- Udgivet:
- 23. maj 2023
- Størrelse:
- 127x13x203 mm.
- Vægt:
- 261 g.
- 2-3 uger.
- 29. november 2024
På lager
Normalpris
Abonnementspris
- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af From Zero to Hero
In a world driven by data, navigating the complex landscape of data science is both an essential skill and a formidable challenge. Here is a book that transforms that challenge into a journey of discovery. This guide walks you through the intricate alleys of the data science field, presenting complex concepts in a conversational and engaging tone. Whether you are a budding data enthusiast, an aspiring data scientist, or a seasoned professional, this book has something for everyone.
Starting with an introduction to the world of big data, the book methodically explores key concepts and tools of the trade such as Hadoop, Spark, and Python. The journey continues through specialized topics like Time Series Analysis and Recommender Systems, before moving into the critical aspects of portfolio building and job interviews. Beyond the technical, it also touches upon the softer but equally important aspects of communication, collaboration, and continuous learning in the field of data science.
It serves not merely as an educational resource but as a compass, guiding you towards the right books, online courses, and communities to further expand your horizons. In the end, this guide helps you understand your role in this vibrant, ever-evolving field, preparing you not just for a career, but a lifelong adventure in data science. Discover, learn, and grow with a book that talks not just about data, but about the people, passion, and potential behind it.
Starting with an introduction to the world of big data, the book methodically explores key concepts and tools of the trade such as Hadoop, Spark, and Python. The journey continues through specialized topics like Time Series Analysis and Recommender Systems, before moving into the critical aspects of portfolio building and job interviews. Beyond the technical, it also touches upon the softer but equally important aspects of communication, collaboration, and continuous learning in the field of data science.
It serves not merely as an educational resource but as a compass, guiding you towards the right books, online courses, and communities to further expand your horizons. In the end, this guide helps you understand your role in this vibrant, ever-evolving field, preparing you not just for a career, but a lifelong adventure in data science. Discover, learn, and grow with a book that talks not just about data, but about the people, passion, and potential behind it.
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