Principles of Data Science (eBook)
424 Seiten
Packt Publishing (Verlag)
978-1-78980-959-6 (ISBN)
Need to turn programming skills into effective data science skills? This book helps you connect mathematics, programming, and business analysis. You'll feel confident asking-and answering-complex, sophisticated questions of your data, making abstract and raw statistics into actionable ideas.
Going through the data science pipeline, you'll clean and prepare data and learn effective data mining strategies and techniques to gain a comprehensive view of how the data science puzzle fits together. You'll learn fundamentals of computational mathematics and statistics and pseudo-code used by data scientists and analysts. You'll learn machine learning, discovering statistical models that help control and navigate even the densest datasets, and learn powerful visualizations that communicate what your data means.
Learn the techniques and math you need to start making sense of your dataKey FeaturesEnhance your knowledge of coding with the theory for practical insight in data science and analysisMore than just a math class; you'll perform real-world data science tasks using PythonGet the best insights and transform your data to get tangible value out of itBook DescriptionNeed to turn programming skills into effective data science skills? This book helps you connect mathematics, programming, and business analysis. You'll feel confident asking-and answering-complex, sophisticated questions of your data, making abstract and raw statistics into actionable ideas. Going through the data science pipeline, you'll clean and prepare data and learn effective data mining strategies and techniques to gain a comprehensive view of how the data science puzzle fits together. You ll learn fundamentals of computational mathematics and statistics and pseudo-code used by data scientists and analysts. You ll learn machine learning, discovering statistical models that help control and navigate even the densest datasets, and learn powerful visualizations that communicate what your data means. What you will learnUnderstand five most important steps of data scienceUse your data intelligently and learn how to handle it with careBridge the gap between mathematics and programmingDrive actionable results and clean your data using statistical models, calculus, and probabilityBuild and evaluate baseline machine learning modelsExplore effective metrics to determine the success of your machine learning modelsCreate data visualizations that communicate actionable insightsApply machine learning concepts to your problems and make actual predictionsWho this book is forIf you are an aspiring data scientist who wants to take your first steps in data science, this book is for you. If you have the basic math skills but want to apply them in data science, or you have good programming skills but lack the necessary math, this book will also help you. Some knowledge of Python programming will also help.]]>
| Erscheint lt. Verlag | 26.12.2018 |
|---|---|
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Mathematik / Informatik ► Informatik ► Web / Internet | |
| ISBN-10 | 1-78980-959-2 / 1789809592 |
| ISBN-13 | 978-1-78980-959-6 / 9781789809596 |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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