A New, Interactive Approach to Learning Data Science
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Cut through the noise and get real results with a step-by-step approach to data science
Key Features:
Book Description:
You already know you want to learn data science, and a smarter way to learn data science is to learn by doing. The Data Science Workshop focuses on building up your practical skills so that you can understand how to develop simple machine learning models in Python or even build an advanced model for detecting potential bank frauds with effective modern data science. You'll learn from real examples that lead to real results.
Throughout The Data Science Workshop, you'll take an engaging step-by-step approach to understanding data science. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend training a model using sci-kit learn. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding.
Every physical print copy of The Data Science Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your data science book.
Fast-paced and direct, The Data Science Workshop is the ideal companion for data science beginners. You'll learn about machine learning algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead.
What You Will Learn:
Who this book is for:
Our goal at Packt is to help you be successful, in whatever it is you choose to do. The Data Science Workshop is an ideal data science tutorial for the data science beginner who is just getting started. Pick up a Workshop today and let Packt help you develop skills that stick with you for life.
Anthony Veasna So (1992-2020) was a graduate of Stanford University and earned his MFA in fiction at Syracuse University. His New York Times-bestselling story collection Afterparties was long-listed for the Andrew Carnegie Medal for Excellence in Fiction, and won both the Ferro Grumley Award for LGBTQ fiction and the NBCC John Leonard Prize for best first book. His writing has appeared in The New Yorker, The Paris Review, n+1, Granta, and ZYZZYVA. A native of Stockton, California, he taught at Colgate University, Syracuse University, and the Center for Empowering Refugees and Immigrants in Oakland, California.
Thomas V. Joseph is a data science practitioner, researcher, trainer, mentor, and writer with more than 19 years of experience. He has extensive experience in solving business problems using machine learning tool sets across multiple industry segments.
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