Overview
Still trusting gut feel over data? Many professionals make decisions based on instinct rather than evidence because they lack the tools to interpret numbers with confidence. In today’s data-driven world, uncertainty and bias can easily lead to flawed conclusions. What if you could learn how to analyze data systematically and defend every decision with solid, reproducible evidence? By mastering Python-powered statistics, you can move beyond guesswork and make choices grounded in mathematical rigor and real-world insights. Foundational techniques: Build confidence with means, variance, distributions, and hypothesis tests. Predictive modeling: Forecast sales, prices, or risk using regression and simulation. Decision optimization: Choose best-fit strategies under constraints and uncertainty. Validation workflows: Spot bias, confirm assumptions, and report results with statistical rigor. Python notebooks: Access reproducible analysis you can adapt to your own projects. Statistics Every Programmer Needs by analytics leader Gary Sutton delivers a practical guide with copy-and-run Python code. Each chapter introduces core theory, then jumps straight into the Python data ecosystem—pandas, NumPy, SciPy, and more. Real business scenarios, from quality control to market prediction, show exactly when and why to apply each statistical technique. After finishing, you will analyze uncertainty systematically, communicate insights persuasively, and back every recommendation with numbers that stand up to scrutiny. Your work becomes structured, reproducible, and credible. Ideal for analysts, managers, and self-taught developers who need reliable, decision-ready insights fast.
Full Product Details
Author: Gary Sutton
Publisher: Manning Publications
Imprint: Manning Publications
Dimensions:
Width: 18.90cm
, Height: 2.80cm
, Length: 23.50cm
Weight: 0.812kg
ISBN: 9781633436053
ISBN 10: 1633436055
Pages: 448
Publication Date: 28 August 2025
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: Available To Order
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Reviews
A well-organized tour of the statistical, machine learning and optimization tools every data science programmer needs. Peter Bruce, Author of Statistics for Data Science and Analytics Turns statistics from a stumbling block into a superpower. Clear, relevant, and written with a coder’s mindset! Mahima Bansod, LogicMonitor Essential! Stats and modeling with an emphasis on real-world system design. Anupam Samanta, Google
Author Information
Gary Sutton is a business intelligence leader known for turning raw data into clear, actionable strategy. With decades guiding Fortune-level analytics teams, Gary brings an engaging, example-rich style to every page. He distills advanced statistical expertise into step-by-step Python workflows that let readers act decisively.
