Ultimate Data Science Handbook Vol1
About this PDF
The Ultimate Data Science Handbook – Volume 1 328 Pages | Foundations to Statistics | Expanded 2026 Edition This 328-page handbook is designed to help beginners build a strong foundation in Data Science and Data Analytics. It brings together core concepts, programming explanations, practical examples and dedicated practice chapters in one organised learning resource. What do the 328 pages cover? Part I – Core Handbook 1. Data Science Foundations * Introduction to Data Science and its applications * Data Science lifecycle (CRISP-DM) * Types of analytics * Business problem framing * Data Science roles and team structure 2. Python for Data Science * Python fundamentals, data types and data structures * Object-Oriented Programming (OOP) * NumPy for numerical computing * Pandas for data manipulation and analysis * Data wrangling * Strings, files, errors, dates and times * Graph plotting with Python 3. SQL for Data Science * SELECT, WHERE and ORDER BY * GROUP BY, HAVING and aggregations * CASE WHEN and conditional logic * Different types of JOINs * CTEs and subqueries * Window functions * Query optimisation 4. Statistics – Descriptive and Inferential * Types of data, population, samples and sampling * Descriptive statistics * Probability and probability distributions * Sampling distributions and Central Limit Theorem * Z-scores, covariance and correlation * Confidence intervals * Hypothesis testing and statistical tests * Effect size and statistical power * Outlier detection and A/B testing * Practical statistics using Python Part II – Expanded Practice Chapters 5. Core Python Toolkit – Variables, operators, control flow, functions, data structures and exceptions. 6. NumPy in Practice – Arrays, dimensions, shapes, indexing, broadcasting, vectorisation and random sampling. 7. Pandas in Practice – Series, DataFrames, data inspection, filtering, cleaning, grouping, reshaping and combining datasets. 8. Data Visualisation with Matplotlib – Chart selection, lab
What you get
Details
- Format
- PDF format
- Language
- English
- Size
- 8.0 MB
- Delivery
- Read PDFs online — not downloadable, instantly after payment
- Access
- Lifetime — buy once, open any time
- Sold by
- Geetanjali Sharma
- Published
- 8 November 2026
