| 000 | 02724nam a22002297a 4500 | ||
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| 005 | 20230811170919.0 | ||
| 008 | 230322b ||||| |||| 00| 0 eng d | ||
| 020 | _a9788126558223 | ||
| 082 |
_a006.312 _bAND |
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| 100 |
_aAnderson, Alan _913337 |
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| 245 | _aStatistics for big data for dummies | ||
| 260 |
_bWiley India Pvt. Ltd. _aNew Delhi _c2022 |
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| 300 | _axii, 366 p. | ||
| 365 |
_aINR _b699.00 |
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| 504 | _aTable of content Part I: Introducing Big Data Statistics Chapter 1: What is Big Data and What Do You Do With It? Chapter 2: Characteristics of Big Data: The Three Vs Chapter 3: Using Big Data: The Hot Applications Chapter 4: Understanding Probabilities Chapter 5: Basic Statistical Ideas Part II: Preparing and Cleaning Data Chapter 6: Dirty Work: Preparing Your Data for Analysis Chapter 7: Figuring the Format: Important Computer File Formats Chapter 8: Checking Assumptions: Testing for Normality Chapter 9: Dealing with Missing or Incomplete Data Chapter 10: Sending Out a Posse: Searching for Outliers Part III: Exploratory Data Analysis (EDA) Chapter 11: An Overview of Exploratory Data Analysis (EDA) Chapter 12: A Plot to Get Graphical: Graphical Techniques Chapter 13: You're the Only Variable for Me: Univariate Statistical Techniques Chapter 14: To All the Variables We've Encountered: Multivariate Statistical Techniques Chapter 15: Regression Analysis Chapter 16: When You've Got the Time: Time Series Analysis Part IV: Big Data Applications Chapter 17: Using Your Crystal Ball: Forecasting with Big Data Chapter 18: Crunching Numbers: Performing Statistical Analysis on Your Computer Chapter 19: Seeking Free Sources of Financial Data Part V: The Part of Tens Chapter 20: Ten (or So) Best Practices in Data Preparation Chapter 21: Ten (or So) Questions Answered by Exploratory Data Analysis (EDA) Index | ||
| 520 | _aStatistics For Big Data For Dummies breaks this often-overwhelming subject down into easily digestible parts, offering new and aspiring data analysts the foundation they need to be successful in the field. Inside, you'll find an easy-to-follow introduction to exploratory data analysis, the lowdown on collecting, cleaning and organizing data, everything you need to know about interpreting data using common software and programming languages, plain-English explanations of how to make sense of data in the real world and much more. | ||
| 650 |
_aBig data _913179 |
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| 650 |
_aMathematical statistics _913214 |
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| 700 |
_aSemmelroth, David _913338 |
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| 856 | _uhttps://www.wiley.com/en-in/Statistics+for+Big+Data+For+Dummies-p-9781118940013 | ||
| 942 |
_2ddc _cBK |
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| 999 |
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