<DIV><p>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 <I>Head First Data Analysis</I>, 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.<br><br> 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 <I>Head First Data Analysis</I> is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool.<br><br> You'll learn how to:</p><p></p><ul><li>Determine which data sources to use for collecting information</li> <li>Assess data quality and distinguish signal from noise</li> <li>Build basic data models to illuminate patterns, and assimilate new information into the models</li> <li>Cope with ambiguous information</li> <li>Design experiments to test hypotheses and draw conclusions</li> <li>Use segmentation to organize your data within discrete market groups</li> <li>Visualize data distributions to reveal new relationships and persuade others</li> <li>Predict the future with sampling and probability models</li> <li>Clean your data to make it useful</li> <li>Communicate the results of your analysis to your audience</li> </ul><p> Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, <I>Head First Data Analysis</I> uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.</p></div>