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The Complete Beginner's Guide of Data Mining, Data Analytics, and Data Science Step-by-step Beginner's Guide to Learn and Master Data Mining, Data Analytics, and Data Science

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Data Science

- That You Don't, presents you with a step-by-step approach to Data Science as well as secrets only known by the best Data Scientists.;

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Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner

Enterprise Guide and SAS Enterprise Miner is a beginner’s guide with clear, illustrated, step-by-step instructions that will lead you through;

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Rapidminer

Powerful, Flexible Tools for a Data-Driven WorldAs the data deluge continues in today's world, the need to master data mining, predictive;

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Hands-On Data Science with R

the end, you will also learn how to integrate R with Spark and Hadoop and perform large-scale data analytics without much complexity. What you;

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Python for R Users

The first book of its kind, Python for R Users: A Data Science Approach makes it easy for R programmers to code in Python and Python users to;

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Discovering Knowledge In Data

methods and techniques. The reader will learn data mining by doing data mining . By adding chapters on data modelling preparation, imputation;

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Data Science

2 comprehensive manuscripts in 1 book Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics;

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Text Mining and Analysis

Big data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is text-oriented, thanks to;

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Predictive Analytics and Data Mining

Put Predictive Analytics into Action Learn the basics of Predictive Analysis and Data Mining through an easy to understand;

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R Data Science Quick Reference

data science packages, with examples of how to use each of them. In this book, you'll learn about the following APIs and packages that deal;

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Data Science Using Python and R

. Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to;

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Fundraising Analytics

of data to reveal the unique diversity of its donors. It provides step-by-step instructions for understanding your constituents, developing;

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Learn Data Mining Through Excel

works and how to find the internal hidden patterns inside the data. What You Will Learn Comprehend data mining using a visual step-by-step;

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Predictive Analytics, Data Mining and Big Data

Predictive analytics, data mining and big data are key topics for organizations who want to leverage the ever increasing amounts;

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Data Analytics

management, data mining, data integration and data warehousing work togetherA step-by-step guide for conducting data analysis for your;

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Mastering Data Mining with Python - Find patterns hidden in your data

the next step to unlock even greater value and more meaningful understanding. If you already know the fundamentals of data mining with Python;

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A General Introduction to Data Analytics

A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General;

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Data Analytics for Organisational Development - Unleashing the Potential of Your Data

the correct datasets to ensure that they are reliable tools for business decision-making. Written by a Six Sigma Master Black Belt and a Lean;

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Data Science and Security

), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during 13-14 March 2020. The proceeding;

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Trends and Applications in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining (PAKDD) held in Tainan, Taiwan, in May 2014. The 73 revised papers presented were carefully reviewed and;

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Recent Developments in Data Science and Business Analytics

and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data;

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Data Mining for Business Analytics

methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and;

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Getting Started with Business Analytics

for integrating business with analytics. The second part presents the technologies underlying business analytics: data mining and data;

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Business Analytics

memorable visuals illustrate data and results for each topic. Step-by-step instructions guide you through using Microsoft (R) Excel, Tableau, R, and;

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Business Analytics, Volume I

decision making approach that uses statistical and quantitative analysis along with data mining, management science, and fact-based data to measure;

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Mastering Social Media Mining with Python

media data with the help of the insightful use cases provided in this guide * Use this easy-to-follow, step-by-step guide to apply analytics to;

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