[Lillian Pierson ] Data Science For Dummies (pdf){Zzzzz}

Discover how data science can help you gain in-depth insightinto your business the easy way!

Jobs in data science abound, but few people have the datascience skills needed to fill these increasingly important roles inorganizations. Data Science For Dummies is the perfectstarting point for IT professionals and students interested inmaking sense of their organization s massive data sets andapplying their findings to real-world business scenarios. Fromuncovering rich data sources to managing large amounts of datawithin hardware and software limitations, ensuring consistency inreporting, merging various data sources, and beyond, you lldevelop the know-how you need to effectively interpret data andtell a story that can be understood by anyone in yourorganization. * Provides a background in data science fundamentals beforemoving on to working with relational databases and unstructureddata and preparing your data for analysis * Details different data visualization techniques that can beused to showcase and summarize your data * Explains both supervised and unsupervised machine learning,including regression, model validation, and clusteringtechniques * Includes coverage of big data processing tools like MapReduce,Hadoop, Dremel, Storm, and Spark

It s a big, big data world out there let DataScience For Dummies help you harness its power and gain acompetitive edge for your organization.

Publisher: For Dummies; 1 edition (March 16, 2015)
Language: English
ISBN-10: 1118841557
ISBN-13: 978-1118841556

From the Back Cover

Learn to:

Deduce, discover, and communicate valuable insights from structured, semi-structured, and unstructured data sources
Use meaningful visualizations to display and interpret data
Take advantage of data processing tools like Hadoop® and MapReduce
Turn your organization's data into a competitive advantage

Gain in-depth insight into your business with data science—this book makes it easy!

Big data is a big deal. This book helps you harness its power and give your business that all-important competitive edge. You'll learn to manage large amounts of data within hardware and software limitations, merge data sources, ensure consistent reporting, and interpret the data to tell your business story in a way that's easily understood.

Get a grip on data science — understand what it is, who uses it, and what it can do
How big is it — see how big data is defined and how to handle it with MapReduce, Hadoop, and alternative solutions
It's probable — explore probability and statistics in interpreting your data
Model ideas — learn about mathematical modeling, fuzzy multi-criteria programming, and modeling spatial data with statistics
Make it visual — examine different types of data visualization techniques and learn to choose the style that's right for your purpose and your audience
Ideal technology — learn where Python®, Open Source R, SQL, or even Excel® may be the tool you need
The sky's the limit — see how data science can help solve environmental issues, drive e-commerce, and even predict criminal activity

Open the book and find:

The basics of data science
Ways to define big data
How business benefits from data science
Information about regression and clustering techniques
Various visualization options
Tips for designing great dashboards
How data science is used in journalism
Ten free data science tools and applications

About the Author

Lillian Pierson, P.E. is an entrepreneurial data scientist and professional environmental engineer. She's the founder of Data-Mania, a start-up that focuses mainly on web analytics, data-driven growth services, data journalism, and data science training services. She also covers the topics of data science, analytics, and statistics for prominent organizations like IBM and UBM.