Price: $12.99 - $0.99
(as of Jun 21, 2025 04:42:13 UTC – Details)
Master the art of turning raw data into powerful insights—no prior experience required!
Data Science with Python by Jake Holloway is a practical, beginner-friendly guide that equips you with everything you need to dive into the world of data science using Python. Whether you’re an aspiring data analyst, a professional looking to transition into data science, or simply curious about the power of data, this book offers a complete, project-based learning journey.
From the fundamentals of Python programming to building machine learning models and real-world data applications, every chapter combines essential theory with hands-on projects designed to reinforce your skills. By the end of this book, you won’t just know what data science is—you’ll be able to apply it confidently.
What You’ll Learn Inside:
Python Essentials for Data Science: Quickly master Python syntax, libraries like Pandas, NumPy, and Matplotlib, and set up your development environment.
Working with Real-World Data: Import, clean, explore, and manipulate data from CSV, Excel, JSON, and SQL databases.
Data Visualization and Statistics: Create stunning visualizations with Seaborn, Matplotlib, and Plotly, and perform descriptive and inferential statistical analysis.
Machine Learning Fundamentals: Build predictive models using supervised and unsupervised learning techniques—regression, classification, clustering, and dimensionality reduction.
Advanced Machine Learning Techniques: Explore ensemble learning methods like Random Forests and Gradient Boosting, and get introduced to deep learning with TensorFlow and Keras.
Real-World Data Science Projects: Complete 10 comprehensive projects, including:
Predicting house prices
Customer segmentation
Sentiment analysis on social media
Stock price forecasting
Fraud detection and anomaly detection
Image classification with neural networks
Model Evaluation and Deployment: Learn how to evaluate model performance, avoid common pitfalls like overfitting, and deploy models into real-world applications.
Who This Book Is For:
Complete beginners with no prior coding or data science experience.
Intermediate Python users who want to specialize in data science and machine learning.
Professionals looking to make a career transition into data-driven industries.
Students, entrepreneurs, and hobbyists ready to build their own predictive models and data analysis pipelines.
Key Features:
10 complete, portfolio-worthy projects to showcase your skills.
Clear, structured chapters that build your expertise step-by-step.
Hands-on exercises, sample datasets, and code examples included.
Focus on practical applications—less theory, more action.
By following this guide, you’ll not only learn data science—you’ll do data science.
Start your journey to becoming a confident data scientist today!
ASIN : B0F6FFZVYS
Accessibility : Learn more
Publication date : April 24, 2025
Language : English
File size : 938 KB
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 555 pages
Page Flip : Enabled
