Statistics For Beginners In Data Science

Author: Ai Publishing
Editor:
ISBN: 9781734790115
File Size: 54,20 MB
Format: PDF, ePub
Read: 2016
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Statistics for Beginners in Data Science Statistical methods are an integral part of data science. Hence, a formal training in statistics is indispensable for data scientists. If you are keen on getting your foot into the lucrative data science and analysis universe, you need to have a fundamental understanding of statistical analysis. Besides, Python is a versatile programming language you need to master to become a career data scientist. As a data scientist, you will identify, clean, explore, analyze, and interpret trends or possible patterns in complex data sets. The explosive growth of Big Data means you have to manage enormous amounts of data, clean it, manipulate it, and process it. Only then the most relevant data can be used. Python is a natural data science tool as it has an assortment of useful libraries, such as Pandas, NumPy, SciPy, Matplotlib, Seaborn, StatsModels, IPython, and several more. And Python's focus on simplicity makes it relatively easy for you to learn. Importantly, the ease of performing repetitive tasks saves you precious time. Long story short--Python is simply a high-priority data science tool. How Is This Book Different? The book focuses equally on the theoretical as well as practical aspects of data science. You will learn how to implement elementary data science tools and algorithms from scratch. The book contains an in-depth theoretical and analytical explanation of all data science concepts and also includes dozens of hands-on, real-life projects that will help you understand the concepts better. The ready-to-access Python codes at various places right through the book are aimed at shortening your learning curve. The main goal is to present you with the concepts, the insights, the inspiration, and the right tools needed to dive into coding and analyzing data in Python. The main benefit of purchasing this book is you get quick access to all the extra content provided with this book--Python codes, exercises, references, and PDFs--on the publisher's website, at no extra price. You get to experiment with the practical aspects of Data Science right from page 1. Beginners in Python and statistics will find this book extremely informative, practical, and helpful. Even if you aren't new to Python and data science, you'll find the hands-on projects in this book immensely helpful. The topics covered include: Introduction to Statistics Getting Familiar with Python Data Exploration and Data Analysis Pandas, Matplotlib, and Seaborn for Statistical Visualization Exploring Two or More Variables and Categorical Data Statistical Tests and ANOVA Confidence Interval Regression Analysis Classification Analysis Click the BUY button and download the book now to start learning and coding Python for Data Science.
Statistics for Psychology
Language: un
Pages: 352
Authors: Roger Watt, Elizabeth Collins
Categories: Psychology
Type: BOOK - Published: 2019-03-11 - Publisher: SAGE

This concise, easy-to-understand and highly visual book helps students to understand the principles behind the many statistical practices. This text helps students to build a mental map to enable them to work their way through tests and procedures with a better level of understanding (and ultimately feel more confident and
Statistics for Beginners in Data Science
Language: un
Pages: 188
Authors: Ai Publishing
Categories: Psychology
Type: BOOK - Published: 2020-04-18 - Publisher:

Statistics for Beginners in Data Science Statistical methods are an integral part of data science. Hence, a formal training in statistics is indispensable for data scientists. If you are keen on getting your foot into the lucrative data science and analysis universe, you need to have a fundamental understanding of
Bayesian Statistics for Beginners
Language: un
Pages: 419
Authors: Therese M. Donovan, Ruth M. Mickey
Categories: Mathematics
Type: BOOK - Published: 2019 - Publisher: Oxford University Press, USA

This is an entry-level book on Bayesian statistics written in a casual, and conversational tone. The authors walk a reader through many sample problems step-by-step to provide those with little background in math or statistics with the vocabulary, notation, and understanding of the calculations used in many Bayesian problems.
Statistics for Beginners
Language: un
Pages: 122
Authors: Deborah Oliver
Categories: Mathematics
Type: BOOK - Published: 2020-01-13 - Publisher:

This is a book that explains all statistical concepts in layman terms. We will discuss concepts like ratio, average, the proportion to very basic concepts like median, mode and mean. We will then start discussing scatter plot and box plots along with concepts like variance analysis and a chi-square test
Psychology Statistics For Dummies
Language: un
Pages: 462
Authors: Donncha Hanna, Martin Dempster
Categories: Psychology
Type: BOOK - Published: 2013-01-29 - Publisher: John Wiley & Sons

The introduction to statistics that psychology students can't afford to be without Understanding statistics is a requirement for obtaining and making the most of a degree in psychology, a fact of life that often takes first year psychology students by surprise. Filled with jargon-free explanations and real-life examples, Psychology Statistics