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Data Science Bookcamp Five Python Projects (MEAP v04)

Leonard Apeltsin

This book teaches Python coders the essential data science skills needed to land their first high-paying job through five real-world, project-based case studies.

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What it’s about

Data Science Bookcamp is a hands-on guide for Python programmers looking to transition into a data science career. Eschewing dense mathematical theory and Greek symbols, this book adopts a practical, project-based approach, teaching fundamental concepts through five engaging case studies modeled on real-world situations. You'll master key libraries like NumPy, SciPy, Pandas, Matplotlib, and Scikit-Learn while tackling problems ranging from finding winning card game strategies and assessing ad-clicks to tracking disease outbreaks and analyzing job postings. By actively solving these open-ended problems, you will not only learn the fundamentals of probability, statistics, and machine learning but also develop the critical problem-solving abilities essential for success in the data science field, ultimately equipping you with the skills to secure your first data science job.

The through-line

Who it’s for
A Python coder who is interested in a data science career but may lack a formal math/stats background or practical, project-based experience.
The problem
They lack the practical experience and portfolio of projects needed to solve real-world data science problems and land a job in the field. They feel intimidated by the complex mathematics and algorithms often associated with data science and are uncertain how to bridge the gap between their coding ability and the demands of a data science role.
The plan
  1. Work through five case studies modeled on real-world data science problems.
  2. Master fundamental data science libraries including NumPy, SciPy, Pandas, Matplotlib, and Scikit-Learn.
  3. Learn and apply concepts in probability, statistics, and machine learning through practical coding exercises, attempting to solve each case study before reviewing the provided solution.
The payoff
The reader gains the skills and confidence to solve open-ended data science problems. · They build a portfolio of five complete projects, demonstrating their competence to potential employers. · They successfully land their first high-paying data science job.

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