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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
ISBN: 9780596153939
ISBN-10: 0596153937
Series: Head First
Published: 7th August 2009
Format: Paperback
Language: English
Number of Pages: 445
Audience: Professional and Scholarly
Publisher: O'Reilly Media, Inc, USA
Country of Publication: US
Dimensions (cm): 23 x 19 x 2
Weight (kg): 0.98
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You Can Find This Book In
This product is categorised by
- Non-FictionComputing & I.T.DatabasesData Capture & Analysis
- Non-FictionComputing & I.T.O'Reilly
- Non-FictionComputing & I.T.DatabasesData Mining
- Non-FictionComputing & I.T.Computer Science
- Non-FictionBusiness & ManagementBusiness Strategy
- Non-FictionComputing & I.T.Graphical & Digital Media Applications3D Graphics & Modelling
- Non-FictionBusiness & ManagementManagement & Management TechniquesManagement of Specific AreasKnowledge Management
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