Head First Data Analysis

Head First Data Analysis
Author: Michael Milton
Publsiher: "O'Reilly Media, Inc."
Total Pages: 486
Release: 2009-07-24
Genre: Business & Economics
ISBN: 9780596153939

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A guide for data managers and analyzers shares guidelines for identifying patterns, predicting future outcomes, and presenting findings to others; drawing on current research in cognitive science and learning theory while covering such additional topics as assessing data quality, handling ambiguous information, and organizing data within market groups. Original.

Head First Data Analysis

Head First Data Analysis
Author: Michael Milton
Publsiher: "O'Reilly Media, Inc."
Total Pages: 488
Release: 2009-07-17
Genre: Business & Economics
ISBN: 9781449392024

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A guide for data managers and analyzers. It shares guidelines for identifying patterns, predicting future outcomes, and presenting findings to others.

Head First Data Analysis

Head First Data Analysis
Author: Michael Milton
Publsiher: "O'Reilly Media, Inc."
Total Pages: 486
Release: 2009-07-17
Genre: Computers
ISBN: 9781449368333

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Today, interpreting data is a critical decision-making factor for businesses and organizations. If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others. Whether you're a product developer researching the market viability of a new product or service, a marketing manager gauging or predicting the effectiveness of a campaign, a salesperson who needs data to support product presentations, or a lone entrepreneur responsible for all of these data-intensive functions and more, the unique approach in Head First Data Analysis is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool. You'll learn how to: Determine which data sources to use for collecting information Assess data quality and distinguish signal from noise Build basic data models to illuminate patterns, and assimilate new information into the models Cope with ambiguous information Design experiments to test hypotheses and draw conclusions Use segmentation to organize your data within discrete market groups Visualize data distributions to reveal new relationships and persuade others Predict the future with sampling and probability models Clean your data to make it useful Communicate the results of your analysis to your audience Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Data Analysis uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.

Head First Statistics

Head First Statistics
Author: Dawn Griffiths
Publsiher: "O'Reilly Media, Inc."
Total Pages: 721
Release: 2008-08-26
Genre: Mathematics
ISBN: 9780596800864

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A comprehensive introduction to statistics that teaches the fundamentals with real-life scenarios, and covers histograms, quartiles, probability, Bayes' theorem, predictions, approximations, random samples, and related topics.

Head First Object Oriented Analysis and Design

Head First Object Oriented Analysis and Design
Author: Brett McLaughlin,Gary Pollice,David West
Publsiher: "O'Reilly Media, Inc."
Total Pages: 634
Release: 2006-11-27
Genre: Computers
ISBN: 9780596008673

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Provides information on analyzing, designing, and writing object-oriented software.

Head First SQL

Head First SQL
Author: Lynn Beighley
Publsiher: "O'Reilly Media, Inc."
Total Pages: 607
Release: 2007-08-28
Genre: Computers
ISBN: 9780596526849

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Presents an instructional guide to SQL which uses humor and simple images to cover such topics as the structure of relational databases, simple and complex queries, creating multiple tables, and protecting important table data.

Head First Excel

Head First Excel
Author: Michael Milton
Publsiher: "O'Reilly Media, Inc."
Total Pages: 438
Release: 2010-03-18
Genre: Computers
ISBN: 9780596807696

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Provides instruction on using Excel including how to build spreadsheets, add and format information, print reports, create charts and graphics, and use basic formulas and functions

Python for Data Analysis

Python for Data Analysis
Author: Wes McKinney
Publsiher: "O'Reilly Media, Inc."
Total Pages: 676
Release: 2017-09-25
Genre: Computers
ISBN: 9781491957615

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Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples