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Text mining using Excel, Semantria, and Tableau

In less than 5 minutes, we take 20000 tweets from Datasift, perform text mining through the Lexalytics/Semantria Excel Plugin, import the results into Table...

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Rescooped by Sachin More from Babalolatide
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Sams Teach Yourself Python in 24 Hours, 2nd Edition - PDF Free Download - Fox eBook

Sams Teach Yourself Python in 24 Hours, 2nd Edition - PDF Free Download - Fox eBook | Tableau | Scoop.it
Sams Teach Yourself Python in 24 Hours, 2nd Edition PDF Free Download, Reviews, Read Online, ISBN: 0672336871, By Katie Cunningham

Via Fox eBook, Bashorun Damilola
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Domain Names's curator insight, June 16, 2015 6:09 PM

A wonderful book....

alm's curator insight, October 8, 2015 5:31 AM

sdfsdfdsf

Mehul Mehta's curator insight, July 25, 9:47 PM
worth reading
Rescooped by Sachin More from IT Books Free Share
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The Art of Data Analysis - Free eBook Share

The Art of Data Analysis - Free eBook Share | Tableau | Scoop.it
eBook Free Download: The Art of Data Analysis | PDF, EPUB | ISBN: 1118411315 | 2013-05-13 | English | PutLocker

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Fox eBook's curator insight, August 7, 2013 9:12 PM

The Art of Data Analysis: How to Answer Almost any Question Using Basic Statistics

A friendly and accessible approach to applying statistics in the real world

With an emphasis on critical thinking, The Art of Data Analysis: How to Answer Almost Any Question Using Basic Statistics presents fun and unique examples, guides readers through the entire data collection and analysis process, and introduces basic statistical concepts along the way.

Leaving proofs and complicated mathematics behind, the author portrays the more engaging side of statistics and emphasizes its role as a problem-solving tool.  In addition, light-hearted case studies illustrate the application of statistics to real data analyses, highlighting the strengths and weaknesses of commonly used techniques. Written for the growing academic and industrial population that uses statistics in everyday life, The Art of Data Analysis: How to Answer Almost Any Question Using Basic Statistics highlights important issues that often arise when collecting and sifting through data. Featured concepts include:

• Descriptive statistics
• Analysis of variance
• Probability and sample distributions
• Confidence intervals
• Hypothesis tests
• Regression
• Statistical correlation
• Data collection
• Statistical analysis with graphs

Fun and inviting from beginning to end, The Art of Data Analysis is an ideal book for students as well as managers and researchers in industry, medicine, or government who face statistical questions and are in need of an intuitive understanding of basic statistical reasoning.

Table of Contents

PART 1 The Basics
1. Statistics: The Life of the Party 3
2. Lions, and Tigers, and . . . Bigfoot? Oh, My: How Questionable Data Can Screw Up an Otherwise Perfectly Good Statistical Analysis 7
3. Asteroid Belts and Spandex Cars: Using Descriptive Statistics to Answer Your Most Weighty Questions 23
4. Baseball, Game Shows, and Sidekicks: Who Cares about Probability Anyway? 43
5. What It’s Like to Be Normal: Probability Distributions and One Rule That Could Make You Wildly Popular 63

PART 2 What a Few Estimates and a Little Probability Can Do for You
6. Men Are Insensitive and Women Are Illogical. Really: Asserting Your Stereotypes with Confidence 89
7. Godzilla versus King Kong: How Hypothesis Tests Can Be Used to Settle the Battle of the Movie Monsters 109
8. Lab Rats and Roommates: Analysis of Variance and How to Channel Your Inner Mad Scientist 129
9. When the Zombie Flu Went Viral: Regressing the Myth Out of Urban Myths 143

Appendix A: Critical Values for the Standard Normal Distribution 161
Appendix B: Critical Values for the T-Distribution 163
Appendix C: Critical Values for the Chi-Squared Distribution 165

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Big Data Analytics: Turning Big Data into Big Money - Fox eBook

Big Data Analytics: Turning Big Data into Big Money - Fox eBook | Tableau | Scoop.it
eBook Free Download: Big Data Analytics: Turning Big Data into Big Money | PDF, EPUB | ISBN: 1118147596 | 2012-11-28 | English | PutLocker

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Fox eBook's curator insight, June 12, 2013 7:31 AM

Big Data Analytics: Turning Big Data into Big Money (Wiley and SAS Business Series)
Unique insights to implement big data analytics and reap big returns to your bottom line

Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits and identify new business opportunities.

Reveals big data analytics as the next wave for businesses looking for competitive advantageTakes an in-depth look at the financial value of big data analyticsOffers tools and best practices for working with big data

Once the domain of large on-line retailers such as eBay and Amazon, big data is now accessible by businesses of all sizes and across industries. From how to mine the data your company collects, to the data that is available on the outside, Big Data Analytics shows how you can leverage big data into a key component in your business’s growth strategy.

Rescooped by Sachin More from BIG DATA AND ANALYTICS
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[Free eBook] Big Data, Analytics And The Future Of Marketing And Sales - McKinsey

[Free eBook] Big Data, Analytics And The Future Of Marketing And Sales - McKinsey | Tableau | Scoop.it

We’ve recently published a multimedia eBook Big Data, Analytics, and the Future of Marketing & Sales that attempts to answer that question. Organizations today face overwhelming amounts of data, organizational complexity, rapidly changing customer behaviors, and increased competitive pressures.   New technologies as well as rapidly proliferating channels and platforms have created a massively complex environment. At the same time, the explosion in data and digital technologies has opened up an unprecedented array of insights into customer needs and behaviors.


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Zeyu Wu's curator insight, May 6, 2015 9:52 PM

We need to read it.

Igor Martini's curator insight, February 10, 2016 11:34 AM

teste