Data Analytics: 4 Manuscripts: Data Science for Beginners, Data Analysis with Python, SQL Computer Programming for Beginners, Statistics for Beginners

Foster, Matt

ISBN 13: 9798633006292

Verlag: Independently published, 2020

Beschreibung

This is a paper back book: Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may be missing bundled media.

Bestandsnummer des Verkäufers 3O6HLS004YOY

Bibliografische Details

• Titel: Data Analytics: 4 Manuscripts: Data Science for Beginners, Data Analysis with Python, SQL Computer Programming for Beginners, Statistics for Beginners
• Verlag: Independently published
• Veröffentlichungsdatum: 2020
• Sprache: Englisch
• ISBN-13: 9798633006292
• Bindung: paperback
• Zustand: Acceptable

Über diesen Titel

Inhaltsangabe

Master the Skills of Data and Statistical Analysis, and Become a Top-Notch Python and SQL Expert!

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With this bundle, you’ll master the Python Programming Language, SQL language, and statistical and data analysis. 

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• A guide on tools and techniques used by data scientists
• An easy to understand guide on data analysis
• Information about the concepts behind Python programming
• A guide on how to use Python libraries such as Pandas and NumPy for data analysis
• Instructions on how to create the right analytical algorithm for predicting the market trends
• A list of the Python Data types
• Instructions on how to use the Python language and code
• A step-by-step guide on Object-oriented programming (OOP) and mind mapping
• Instructions on how to start using data science in your company or business
• A guide on programming languages used in data science
• A guide on writing SQL codes
• A guide on how to use predictive analytics techniques to turn data into valuable information
• Instructions on database normalization for maintaining data integrity
• A guide on using Python for files manipulation and handling
• Information about how to protect your work from database hackers
• Tips for fine-tuning and optimizing your databases
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