Programming Skills For Data Science | By Michael Freeman & Joel Ross | 1st Edition | Pearson Publication ( English Medium )

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Programming Skills For Data Science | By Michael Freeman & Joel Ross | 1st Edition | Pearson Publication ( English Medium ).

Book Overview:

“Programming Skills for Data Science” by Michael Freeman and Joel Ross is a modern and practical guide aimed at equipping readers with foundational programming skills essential for data science applications. It uses the Python programming language as the primary tool and emphasizes data-centric thinking, real-world problem solving, and hands-on coding exercises.

This book is ideal for beginners in data science and analytics who want to build the technical programming expertise necessary to explore, analyze, and communicate data effectively.

Key Features:

🐍 Python-Focused: Teaches Python from a data science perspective, including core syntax, libraries, and data structures.

📊 Real-World Data Applications: Uses real datasets to teach data exploration, transformation, and visualization.

🔁 Reproducibility & Workflow: Emphasizes good coding practices, version control, and reproducibility.

📈 Data Wrangling: Covers tools like pandas, NumPy, and matplotlib for cleaning and transforming data.

📂 File Handling & APIs: Introduces working with file systems, web APIs, and data from different formats (CSV, JSON, etc.).

💻 Practical Exercises: Includes plenty of hands-on exercises and projects that help solidify programming logic.

📘 Teaching-Oriented Style: Developed from a successful university curriculum (University of Washington), it supports both self-learners and instructors.

Best For:

Undergraduate students in computer science, statistics, or data science

Beginners in data science looking to strengthen Python programming

Learners preparing for machine learning, data analytics, or AI careers

Those seeking project-based, applied learning in coding for data

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Product Details

SKU / BOOK Code:	Pearson-Prog-Ski-Data-Sci-(E)
Publisher:	Pearson Publication
Author:	Michael Freeman & Joel Ross
Binding Type:	Paperback
No. of Pages:	396
ISBN-10:	9389552923
ISBN-13:	978-9389552928
Edition:	1st Edition
Language:	English Medium
Publish Year:	2025-06
Weight (g):	2500
Product Condition:	New
Reading Age:	Above 10 Years
Country of Origin:	India
Genre:	Textbooks & Study Guides
Manufacturer:	Pearson Publication
Importer:	Pearson Publication
Packer:	Fullfilled by Supplier

Product Description

Programming Skills For Data Science | By Michael Freeman & Joel Ross | 1st Edition | Pearson Publication ( English Medium ).

Book Overview:

“Programming Skills for Data Science” by Michael Freeman and Joel Ross is a modern and practical guide aimed at equipping readers with foundational programming skills essential for data science applications. It uses the Python programming language as the primary tool and emphasizes data-centric thinking, real-world problem solving, and hands-on coding exercises.

This book is ideal for beginners in data science and analytics who want to build the technical programming expertise necessary to explore, analyze, and communicate data effectively.

Key Features:

🐍 Python-Focused: Teaches Python from a data science perspective, including core syntax, libraries, and data structures.

📊 Real-World Data Applications: Uses real datasets to teach data exploration, transformation, and visualization.

🔁 Reproducibility & Workflow: Emphasizes good coding practices, version control, and reproducibility.

📈 Data Wrangling: Covers tools like pandas, NumPy, and matplotlib for cleaning and transforming data.

📂 File Handling & APIs: Introduces working with file systems, web APIs, and data from different formats (CSV, JSON, etc.).

💻 Practical Exercises: Includes plenty of hands-on exercises and projects that help solidify programming logic.

📘 Teaching-Oriented Style: Developed from a successful university curriculum (University of Washington), it supports both self-learners and instructors.

Best For:

Undergraduate students in computer science, statistics, or data science

Beginners in data science looking to strengthen Python programming

Learners preparing for machine learning, data analytics, or AI careers

Those seeking project-based, applied learning in coding for data

Search Key - Programming Skills for Data Science Freeman Ross, , Programming for Data Science with Python, , Michael Freeman data science book, , Joel Ross programming book, , Data science skills for beginners, , Python for data science Pearson, , Freeman Ross data science programming, , Learn Python for data analysis, , Programming logic for data science, , Data science Python hands-on book, , Pearson data science books, , Coding for data science learners, , Introduction to data programming, , Data wrangling Python book, , Real-world data projects in Python, , Applied programming for analytics, , Basic Python for data science, , Programming with pandas and NumPy, , How to clean data in Python, , Visualization using matplotlib, , Jupyter notebooks for data science, , Reproducibility in coding, , Programming logic and flow control, , Data file handling in Python, , Python data science workflow, , Skills needed to become a data scientist, , Data-centric Python programming, , Python for data storytelling, , Exploratory data analysis Python, , University-level data science curriculum book, Language ‏ : ‎ English, Paperback ‏ : ‎ 396 pages, ISBN-10 ‏ : ‎ 9389552923, ISBN-13 ‏ : ‎ 978-9389552928.

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