Python Data Science For Beginners 2021: The Complete Effective Crash Course to Mastering Python with Practical Applications to Data Analysis & . Learning and Data Science Projects (2)

Williams, Steven

ISBN 10: 1801324050 / ISBN 13: 9781801324052

Edité par Domenico Battino, 2020

A propos de cet article

238 pages. 9.02x5.98x0.50 inches. In Stock.

N° de réf. du vendeur zk1801324050

Détails bibliographiques

• Titre: Python Data Science For Beginners 2021: The Complete Effective Crash Course to Mastering Python with Practical Applications to Data Analysis & . Learning and Data Science Projects (2)
• Éditeur: Domenico Battino
• Date de parution: 2020
• Langue: anglais
• ISBN à 10 chiffres: 1801324050
• ISBN à 13 chiffres: 9781801324052
• Reliure: Paperback
• État de l'article: Brand New

A propos de ce titre

Synopsis

If you want to learn more about Data Science or how to master it with the Python Programming Language Step-by-Step, then keep reading.


Data Science is one of the biggest buzzwords in the business world nowadays. Many businesses know the importance of collecting information, but as they can collect so much data in a short period, the real question is: "what is the next step?"
Data Science includes all the different steps that you take with the data: collecting and cleaning them if they come from more than one source, yzing them, applying Machine Learning algorithms and models, and then presenting your findings from the ysis with some good Data ualizations.
You will learn about the main steps that are needed to correctly implement Data Science techniques and the algorithms to help you sort through the data and see some amazing results. Some of the topics that we will discuss inside include :
A thorough and simple explanation of data science and the way it works
Basics of data science and fundamental skills you need to get started
A blueprint for the most used frameworks for Python data science
How to process and understand the data and design your own projects
What data science is all about and why so many companies are using it to give them a comitive edge.
Why Python and how to use it to implement Data Science
What is the intersection between Machine Learning and Data Science and how to combine them
Functions and Modules in Python
Data Aggregation and Group Operations
Interaction with databases and data in the cloud
And Much More!


Even if you have never implemented Data Science techniques , learning them is easier than it looks. You just need the right guidance. And Python Data Science provides all the knowledge you need in a simple and practical way.

À propos de l?auteur

Steven Williams was born in Houston, Texas, in 1974. His mother was an immigrant from Singapore, and, growing up, he spent time in Hong Kong and later graduated in 1990. In 1995, he earned his undergraduate degree with a triple major in computer science, statistics, and economics from Carnegie Mellon University in Pittsburgh, Pennsylvania, and in 1996 he earned his master's degree from UC Berkeley. Today Williams is an American businessman, computer scientist, investor, and writer. He is focusing on machine learning and AI. As a businessman and investor, he co-founded and led Neuro-Focus Brain Inc. (sponsored by Battino International), building the company's Artificial Intelligence Group into a team of several thousand people. Williams is also a pioneer in online education, with Coursesest Inc., and he has successfully spearheaded many efforts to democratize deep learning teaching over 2 million students through his online courses.