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From Data to Decision: Practical Data Science & Model Training for Beginners
Unlock the Power of Data—From Basics to Building Your First Model
In today’s world, data is more than numbers—it’s the key to solving real-world problems, driving innovation, and making informed decisions. From Data to Decisions is your practical, beginner-friendly guide to mastering the essentials of Data Science and Machine Learning, without getting lost in overwhelming theory.
Whether you’re a student, aspiring data scientist, or professional looking to upskill, this book takes you on a step-by-step
Understanding the Data Science Workflow – from data collection and cleaning to exploration and visualization.
Hands-On Model Training – learn how to build, train, and evaluate predictive models with real datasets.
Essential Tools & Techniques – get comfortable with Python, Pandas, NumPy, and scikit-learn.
Practical Examples – apply your skills to projects that matter, from predicting trends to making data-driven recommendations.
Clear Explanations & No Jargon – concepts are explained simply, so you can learn faster and retain more.
By the end of this book, you’ll not only understand the foundations of Data Science—you’ll have the confidence to start building your own models and turning raw data into actionable insights.
Perfect for beginners, self-learners, and anyone eager to turn curiosity about data into real skills.
Start your Data Science journey today and transform the way you think about data—one decision at a time.
In today’s world, data is more than numbers—it’s the key to solving real-world problems, driving innovation, and making informed decisions. From Data to Decisions is your practical, beginner-friendly guide to mastering the essentials of Data Science and Machine Learning, without getting lost in overwhelming theory.
Whether you’re a student, aspiring data scientist, or professional looking to upskill, this book takes you on a step-by-step
Understanding the Data Science Workflow – from data collection and cleaning to exploration and visualization.
Hands-On Model Training – learn how to build, train, and evaluate predictive models with real datasets.
Essential Tools & Techniques – get comfortable with Python, Pandas, NumPy, and scikit-learn.
Practical Examples – apply your skills to projects that matter, from predicting trends to making data-driven recommendations.
Clear Explanations & No Jargon – concepts are explained simply, so you can learn faster and retain more.
By the end of this book, you’ll not only understand the foundations of Data Science—you’ll have the confidence to start building your own models and turning raw data into actionable insights.
Perfect for beginners, self-learners, and anyone eager to turn curiosity about data into real skills.
Start your Data Science journey today and transform the way you think about data—one decision at a time.
117 pages, Kindle Edition
Published August 7, 2025
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