Statistics and data visualisation with Python / Jes�us Rogel-Salazar.
Material type: TextSeries: Chapman & Hall/CRC Press the python seriesPublisher: Boca Raton, FL : CRC Press, 2023Copyright date: �2023Edition: First editionDescription: 1 online resource (xxxviii, 515 pages) : illustrationsContent type:- text
- computer
- online resource
- 9781003160359
- 1003160352
- 9781000798388
- 1000798380
- 9781000798401
- 1000798402
- 519.50285/5133 23/eng20221026
- QA276.45.P98 R64 2023
Item type | Current library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|
Ebooks | IIM Kashipur | 519.50285/5133 (Browse shelf(Opens below)) | Available | E4618 |
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519.5 THR Doing statistical analysis: a student's guide to quantitative research/ | 519.502465 STI Statistics for business decision making and analysis | 519.502465 TIM Applied statistics: business and management research/ | 519.50285/5133 Statistics and data visualisation with Python / | 519.53 CLU Cluster analysis | 519.53 CLU Cluster analysis | 519.53 CLU Cluster analysis |
"A Chpaman & Hall book" -- title page.
1. Data, Stats and Stories - An Introduction 2. Python Programming Primer 3. Snakes, Bears & Other Numerical Beasts: NumPy, SciPy & Pandas4. The Measure of All Things - Statistics 5. Definitely Maybe: Probability and Distributions 6. Alluring Arguments and Ugly Facts - Statistical Modelling and Hypothesis Testing 7. Delightful Details - Data Visualisation8. Dazzling Data Designs - Creating ChartsA. Variance: Population v SampleB. Sum of First n IntegersC. Sum of Squares of the First n IntegersD. The Binomial CoefficientE. The Hypergeometric DistributionF. The Poisson DistributionG. The Normal DistributionH. Skewness and KurtosisI. Kruskal-Wallis Test - No Ties
"This book is intended to serve as a bridge in statistics for graduates and business practitioners interested in using their skills in the area of data science and analytics as well as statistical analysis in general. On the one hand, the book is intended to be a refresher for readers that have taken some courses in statistics, but who have not necessarily used it in their day-to-day work. On the other hand, the material can be suitable for readers interested in the subject as a first encounter with statistical work in Python. Statistics and Data Visualisation with Python aims to build statistical knowledge from the ground up by enabling the reader to understand the ideas behind inferential statistics, and begin to formulate hypotheses that form the foundations for the applications and algorithms in statistical analysis, business analytics, machine learning and applied machine learning. This book begins with the basics of programming in Python and data analysis, to help construct a solid basis in statistical methods and hypothesis testing, which are useful in many modern applications"-- Provided by publisher.
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