Introduction To Data Science Course

J.D. Rockefeller · Kulandiswa nge-AI ngu-Mason (kusukela ku-Google)
I-audiobook
2 ihora 18 iminithi
Okungavamile
Kufanelekile
Ilandiswa yi-AI
Izilinganiso nezibuyekezo aziqinisekisiwe  Funda Kabanzi
Ufuna isampula elingu-13 iminithi? Lalela noma kunini, nanoma ungaxhunyiwe ku-inthanethi. 
Engeza

Mayelana nale audiobook

Welcome to the Introduction to Data Science course! This comprehensive course will take you through the fundamental concepts and techniques of data science. You will learn about the history and applications of data science, as well as the key methods and tools used in the field.

The course covers topics such as data analysis and visualization, statistical methods, machine learning fundamentals, big data and data mining, predictive analytics, natural language processing, deep learning, data ethics and privacy, data science tools and technologies, data engineering, data science in business, case studies in data science, data science career paths, and future trends in data science.

With this course, you will gain a solid understanding of data science principles and be equipped with the skills and knowledge necessary to embark on a successful data science career. Whether you are a beginner or have some experience in the field, this course will provide you with the foundation to excel in the exciting field of data science.

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Ulwazi lokulalela

Amasmathifoni namathebulethi
Faka uhlelo lokusebenza lwe-Google Play Amabhuku lwe-Android ne-iPad/iPhone. Livunyelaniswa ngokuzenzakalela ne-akhawunti yakho liphinde likuvumele ukuthi ufunde uxhunywe ku-inthanethi noma ungaxhunyiwe noma ngabe ukuphi.
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Okuningi ngo-Brian Smith

Ama-audiobook afanayo

Kuchazwe ngu-Mason