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C++ and Data Analytics 2 Bundle Manuscript: Essential Beginners Guide on Enriching Your C++ Programming Skills and Learn Practical Data Analytics, Data Science, and Predictive Analytics for Beginners
This is a two-book bundle related to C++ programming and data analytics!
Two manuscripts for the price of one!
What's included in this two-book
Learn C++ Like a A Beginners Guide in Coding Programming and Dominating C++ Data Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business
In C++ programming, you will learn the basics
Compliers, syntax, class, objects, and variables Identifiers, trigraphs, data types, lines, and characters Boolean and functions Arrays, loops, and conditions Various types of operators Decision statements, if else statements Constants and literals Quick follow up quizzes and answers Guided examples and much more!
In the data analytics portion of this bundle, you will
Why your business should be using data analytics Issues with using big data Effective data management Examples of data management in the real-world The different kinds of data analytics and their definitions How data management, data mining, data integration and data warehousing work together A step-by-step guide for conducting data analysis for your business An organizational guide to data analytics Tools for data visualization
Get your copy today!
Two manuscripts for the price of one!
What's included in this two-book
Learn C++ Like a A Beginners Guide in Coding Programming and Dominating C++ Data Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business
In C++ programming, you will learn the basics
Compliers, syntax, class, objects, and variables Identifiers, trigraphs, data types, lines, and characters Boolean and functions Arrays, loops, and conditions Various types of operators Decision statements, if else statements Constants and literals Quick follow up quizzes and answers Guided examples and much more!
In the data analytics portion of this bundle, you will
Why your business should be using data analytics Issues with using big data Effective data management Examples of data management in the real-world The different kinds of data analytics and their definitions How data management, data mining, data integration and data warehousing work together A step-by-step guide for conducting data analysis for your business An organizational guide to data analytics Tools for data visualization
Get your copy today!
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Published April 6, 2017
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