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#PYTHON FOR DATA SCIENCE FOR DUMMIES PDF SOFTWARE#

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#PYTHON FOR DATA SCIENCE FOR DUMMIES PDF SOFTWARE#

Python is a registered trademark of Python Software Foundation Corporation. and may not be used without written permission. Trademarks: Wiley, For Dummies, the Dummies Man logo,, Making Everything Easier, and related trade dress are trademarks or registered trademarks of John Wiley & Sons, Inc. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748‐6011, fax (201). Ted under Sections 107 or 108 of the 1976 United States Copyright Act, without the prior written permission of the Publisher. Published simultaneously in Canada No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as permit. Understanding More Advanced Concepts and Practices in D3.® ® Python for Data Science For Dummies Published by: John Wiley & Sons, Inc., Copyright © 2015 by John Wiley & Sons, Inc., Hoboken, New Jersey Media and software compilation copyright © 2015 by John Wiley & Sons, Inc.Knowing When to Use D3.js (and When Not To).Chapter 10: Using D3.js for Data Visualization.

Choosing the Most Appropriate Data Graphic Type.

Picking the Most Appropriate Design Style.

Understanding the Types of Visualizations.

Chapter 9: Following the Principles of Data Visualization Design.

Part III: Creating Data Visualizations that Clearly Communicate Meaning.

Using Trend Surface Analysis on Spatial Data.

Generating Predictive Surfaces from Spatial Point Data.

Chapter 8: Modeling Spatial Data with Statistics.

Mathematical Modeling with Markov Chains and Stochastic Methods.

Using Numerical Methods in Data Science.

Introducing Multi-Criteria Decision Making (MCDM).

Chapter 7: Mathematical Modeling in Data Science.

Solving Real-World Problems with Nearest Neighbor Algorithms.

Using Nearest Neighbor Distances to Infer Meaning from Point Patterns.

Classifying with K-Nearest Neighbor Algorithms.

Classifying Data with Average Nearest Neighbor Algorithms.

Seeing the Importance of Clustering and Classification.

Making Sense of Data with Nearest Neighbor Analysis.

Chapter 6: Clustering and Classification with Nearest Neighbor Algorithms.

Introducing the Basics of Clustering and Classification.

Chapter 5: Clustering and Classification.

Introducing the Fundamental Concepts of Probability.

Chapter 4: Introducing Probability and Statistics.

Part II: Using Data Science to Extract Meaning from Your Data.

Exploring Data Science in Business: A Data-Driven Business Success Story.

Knowing Who to Call to Get the Job Done Right.

Distinguishing Business Intelligence and Data Science.

Incorporating Data-Driven Insights into the Business Process.

Chapter 3: Applying Data Science to Business and Industry.

Data Engineering in Action - A Case Study.Identifying Alternative Big Data Solutions.Boiling Down Data with MapReduce and Hadoop.Grasping the Difference between Data Science and Data Engineering.Chapter 2: Exploring Data Engineering Pipelines and Infrastructure.Getting a Basic Lay of the Data Science Landscape.Looking at the Pieces of the Data Science Puzzle.Seeing Who Can Make Use of Data Science.

Chapter 1: Wrapping Your Head around Data Science.Part I: Getting Started With Data Science.It's a big, big data world out there - let Data Science For Dummies help you harness its power and gain a competitive edge for your organization. Includes coverage of big data processing tools like MapReduce, Hadoop, Dremel, Storm, and Spark Provides a background in data science fundamentals before moving on to working with relational databases and unstructured data and preparing your data for analysisĭetails different data visualization techniques that can be used to showcase and summarize your dataĮxplains both supervised and unsupervised machine learning, including regression, model validation, and clustering techniques From uncovering rich data sources to managing large amounts of data within hardware and software limitations, ensuring consistency in reporting, merging various data sources, and beyond, you'll develop the know-how you need to effectively interpret data and tell a story that can be understood by anyone in your organization. Data Science For Dummies is the perfect starting point for IT professionals and students interested in making sense of their organization's massive data sets and applying their findings to real-world business scenarios. Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles in organizations. Discover how data science can help you gain in-depth insight into your business - the easy way!