Data Science Bookcamp: Ten case studies MEAP V02 cover


Thank you for purchasing the MEAP of Data Science Bookcamp: Ten case studies.

This book is intended for Python coders who are interested in a data science career. The only prerequisite is a basic knowledge of Python. Previous experience with complex algorithms is not required. A mathematical background is not necessary.  An amateur who finishes this book will gain the necessary skills to get their first high-paying data science job. These skills include:

  • The fundamentals of probability and statistics.
  • Supervised and unsupervised machine learning techniques.
  • Key data science libraries such as NumPy, SciPy, Pandas, Matplotlib and Scikit-Learn.
  • Open-ended problem-solving abilities.

Open-ended problem-solving abilities are essential for a data science career. Unfortunately, these abilities cannot be acquired simply by reading. In order to become a problem solver, you must persistently solve difficult problems. With this mind, I’ve structured my book around case studies: open-ended problems that are modeled on real-world situations. The case studies range from online advertisement analysis to tracking disease outbreaks using news data.



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