Statistics for Data Science

By:

Wallace, Ethan

Material type:

TextLanguage: English Publication details: New Delhi: Pinakin Publishing, 2026.Edition: 1Description: 278pISBN:

9789360615680

Subject(s):

Statistics/ Data Science

DDC classification:

519.5 WAL/S

Other classification:

Contents:

Contents Preface 1. Introduction to Statistics for Data Science Understanding Statistics Difference Between Descriptive and Inferential Statistics Difference Between Structured Data and Unstructured Data The Benefits of Data- Driven Decision Making 2. Data Collection and Sampling Techniques Data Collection Difference Between Primary and Secondary Data Population vs Sample in Statistics Sampling 3. Understanding Data Types and Measurement Scales Nominal, Ordinal, Interval and Ration Scales Cross Sectional vs Longitudinal Studies Difference Between Discrete and Continuous Variable Categorical Variable Dependent and Independent variable 4. Organizing and Summarizing Data Frequency Distribution Bar Charts and Histograms Line and Bar Graphs Application Contigency Table Central Tendency 5. Exploratory Data Analysis (EDA) Exploratory Data Analysis Introduction to Statistical Data Distributions Missing Data Detecting Outliers 6. Probability Concepts in Analytics Introduction to Probability Exploring the Different Types of Probabilities Probabilistics Risk Assessment Common Misconceptions in Probability 7.Understanding Distributions Probability Distribution The Normal Distribution Skewness and Kurtosis Negative Binomial Distribution Fitting Fat- Tailed Distributions in Finance 8. Statistical Inference Basics Statistical Inference Concepts of Estimation Difference Between Point and Interval Estimate Intervel Estimates Sampling Distribution Concept 9. Correlation and Association Understanding Correlation Positive and Negative Correlations Correlation and Causation Scatter Plot Correlation in Time Series 10. Introduction to Regression Analysis Understanding Regression Analysis Simple Linear Regression Regression Coefficients Residual Concepts Bibliography

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Holdings
Item type	Current library	Home library	Collection	Call number	Status	Barcode
Book	Dept. of Economics Processing Center	Dept. of Economics	Non-fiction	519.5 WAL/S (Browse shelf(Opens below))	Available	ECN16968

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Previous	384.3 MAN/D Digital Economics (For Undergraduate and Postgraduate Courses as per National Education Policy(NEP),2020 and Based on Syllabi Adopted/Followed by Indian Universities Under Choice Based Credit System)	519.2 DEV/P Probability and Statistics for Engineering and the science	519.5 NIC/A Advanced Techniques for Collecting Statistical Data	519.5 WAL/S Statistics for Data Science	650.0212 AND/S Statistics for business and economics/ David R Anderson, Dennis J Sweeney, Jeffrey D Camm and James J Cochran , Michael J. Fry, Jeffrey W. Ohlmann	658.1 AHU/M Managerial Economics : Analysis of Managerial Decision Making	658.1 DAR/A Advanced Managerial Economics	Next

Contents
Preface
1. Introduction to Statistics for Data Science
Understanding Statistics Difference Between Descriptive and Inferential Statistics
Difference Between Structured Data and Unstructured Data
The Benefits of Data- Driven Decision Making
2. Data Collection and Sampling Techniques
Data Collection
Difference Between Primary and Secondary Data
Population vs Sample in Statistics
Sampling
3. Understanding Data Types and Measurement Scales
Nominal, Ordinal, Interval and Ration Scales
Cross Sectional vs Longitudinal Studies
Difference Between Discrete and Continuous Variable
Categorical Variable
Dependent and Independent variable
4. Organizing and Summarizing Data
Frequency Distribution Bar Charts and Histograms
Line and Bar Graphs Application
Contigency Table
Central Tendency
5. Exploratory Data Analysis (EDA)
Exploratory Data Analysis
Introduction to Statistical Data Distributions
Missing Data
Detecting Outliers
6. Probability Concepts in Analytics
Introduction to Probability
Exploring the Different Types of Probabilities
Probabilistics Risk Assessment
Common Misconceptions in Probability
7.Understanding Distributions
Probability Distribution
The Normal Distribution
Skewness and Kurtosis
Negative Binomial Distribution Fitting
Fat- Tailed Distributions in Finance
8. Statistical Inference Basics
Statistical Inference
Concepts of Estimation
Difference Between Point and Interval Estimate
Intervel Estimates
Sampling Distribution Concept
9. Correlation and Association
Understanding Correlation
Positive and Negative Correlations
Correlation and Causation
Scatter Plot
Correlation in Time Series
10. Introduction to Regression Analysis
Understanding Regression Analysis
Simple Linear Regression
Regression Coefficients
Residual Concepts
Bibliography

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