{"id":13657,"date":"2024-02-17T16:54:19","date_gmt":"2024-02-17T16:54:19","guid":{"rendered":"https:\/\/lacountystore.com\/\/?p=13657"},"modified":"2024-02-17T16:54:19","modified_gmt":"2024-02-17T16:54:19","slug":"best-books-on-data-analysis","status":"publish","type":"post","link":"https:\/\/lacountystore.com\/best-books-on-data-analysis\/","title":{"rendered":"19 Best Books On Data Analysis (2024 Update)"},"content":{"rendered":"

Are you looking for the Best Books On Data Analysis<\/strong>? If so, you’ve come to the right place.<\/p>\n

Choosing the Best Books On Data Analysis can be difficult as there are so many considerations, such as Clever Fox, Penguin Random House, Under Armour, WHSmith, Amazon.com. We have done a lot of research to find the Top 19 Best Books On Data Analysis<\/strong> available.<\/p>\n

The average cost is $48.96<\/i>. Sold comparable range in price from a low of $6.09<\/i> to a high of $231.95<\/i>.<\/p>\n

Based on the research we did, we think Head First Data Analysis: A Learner's Guide to Big Numbers, Statistics, and Good Decisions [Book]<\/strong><\/a> is the best overall. Read on for the rest of the great options and our buying guide, where you can find all the information you need to know before making an informed purchase.<\/p>\n

19 Best Books On Data Analysis (18 Sellers)<\/h2>\n
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Product Image<\/span><\/th>\nProduct Name<\/span><\/th>\nFeatures<\/span><\/th>\nCheck Price<\/span><\/th>\n<\/tr>\n<\/thead>\n
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    • Mint condition<\/li>\n
    • Dispatch same day for order received before 12 noon<\/li>\n
    • Guaranteed packaging<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Series: in easy steps<\/li>\n
    • Binding type: paperback<\/li>\n
    • Publisher: in easy steps limited<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Nearly 100 new problems, including many that are substantial enough to form the basis for computer labs.<\/li>\n
    • There is new treatment of the topic of loglinear smoothing.<\/li>\n
    • Treatment of bayesian inference is now presented in parallel with frequentist methods.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Year published: 2018-03-28<\/li>\n
    • Number of pages: 570<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Suggested age: 22 years and up<\/li>\n
    • Number of pages: 440<\/li>\n
    • Format: paperback<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Year published: 2021-05-06<\/li>\n
    • Number of pages: 738<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Publisher: manning publications<\/li>\n
    • Year published: 2022-03-22<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Publisher: springer fachmedien wiesbaden<\/li>\n
    • Year published: 2020-05-14<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Year published: 2019-10-14<\/li>\n
    • Number of pages: 442<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Bridges the gap between principles and applications of low-dimensional models for high-dimensional data analysis<\/li>\n
    • Covers a wide range of application areas<\/li>\n
    • Accompanied online by code<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Year published: 2021-11-16<\/li>\n
    • Number of pages: 400<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: hardback<\/li>\n
    • Year published: 2020-01-10<\/li>\n
    • Number of pages: 134<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Used book in good condition<\/li>\n
    • Highlight, take notes, and search in the book<\/li>\n
    • In this edition, page numbers are just like the physical edition<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • These days the business world is full of talk about data science, big data, and how data analysis can transform your business.<\/li>\n
    • So don&#39;t wait. get started now.<\/li>\n
    • This title was previously published as data principles for beginners. author: m.l. humphrey. format: paperback.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Product details<\/li>\n
    • Publication date: 12-15-2018<\/li>\n
    • Product dimensions: 9.00h x 6.00w x 0.42d<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: hardback<\/li>\n
    • Year published: 2009-02-13<\/li>\n
    • Number of pages: 816<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: hardback<\/li>\n
    • Year published: 2009-02-13<\/li>\n
    • Number of pages: 816<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Publisher: taylor &amp; francis ltd<\/li>\n
    • Year published: 2020-12-18<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Can be considered for gifting purpose.<\/li>\n
    • It is written in such lucid language that the excitement never wanes.<\/li>\n
    • An excellent source of information and leisure.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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