Data Science Programming All-in-One For Dummies - Python & R Guide

Discover Data Science Programming All-in-One For Dummies — your step-by-step companion to working with data in Python and R.

Data Science Programming All-in-One For Dummies

Data science sits at the intersection of programming, statistics and domain knowledge, and getting started can feel like being asked to learn three subjects at once. Data Science Programming All-in-One For Dummies by John Paul Mueller and Luca Massaron pulls those threads together into a single 768-page reference, designed to be followed even if your coding experience so far is limited. It covers both of the languages the field actually runs on — Python and R — rather than picking a side.

What You'll Learn

Across its combined mini-books, Data Science Programming All-in-One For Dummies works through the topics that make up a practical data science workflow:

• Python for Data Science: The language most data science teams standardise on, taught from the ground up
• R for Statistical Analysis: The statistician's toolkit, and when to reach for it instead of Python
• Data Wrangling: Getting messy, real-world data into a shape you can actually analyse — the part most courses skip
• Data Visualisation: Turning results into charts that communicate rather than decorate
• Machine Learning: The core algorithms, what they're for, and how to apply them
• Working with Datasets: Practical technique on real data rather than toy examples

Who This Book Is For

This is a book for people who want the whole picture in one place rather than five separate titles.

• Programmers Moving into Data: You can already code and want to redirect that skill toward analysis
• Analysts Levelling Up: Comfortable with spreadsheets, ready for a real programming toolkit
• Students: Building a foundation across both languages instead of committing to one too early
• Career Changers: Data science remains one of the most in-demand routes into tech

The All-in-One Approach

The All-in-One format is the reason to choose this over a single-topic book: rather than buying separately for Python, R, visualisation and machine learning, you get them as connected parts of one workflow. That matters in data science, where the interesting problems sit in the joins between those stages rather than inside any one of them. Written in the plain, friendly style For Dummies is known for, it stays readable without thinning out the technical content.

Practical Skills You'll Gain

• Write working data analysis code in both Python and R
• Clean and reshape untidy datasets
• Build and interpret data visualisations
• Apply machine learning algorithms to real problems
• Add data science to your CV with genuine hands-on experience

If you already own Coding All-in-One For Dummies or Beginning Programming All-in-One For Dummies, this is the natural next step — the same format and approach, pointed at data.

Product Details

• Title: Data Science Programming All-in-One For Dummies
• Authors: John Paul Mueller and Luca Massaron
• Publisher: For Dummies (Wiley)
• Publication Date: 10 December 2019
• Pages: 768
• Format: Paperback
• Series: For Dummies (Computer/Tech)