Data Science Bookcamp

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This project is part of the liveProject series Data Science Bookcamp Projects
intermediate Python • basic visualization with Matplotlib or seaborn • basic statistics
skills learned
simulating real-life game environments in Python • using NumPy and SciPy for mathematical operations • visualizing results with Matplotlib and seaborn
Emre Rencberoglu
1 week · 4-6 hours per week · INTERMEDIATE
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liveProject This project is part of the liveProject series Data Science Bookcamp Projects liveProjects give you the opportunity to learn new skills by completing real-world challenges in your local development environment. Solve practical problems, write working code, and analyze real data—with liveProject, you learn by doing. These self-paced projects also come with full liveBook access to select books for 90 days plus permanent access to other select Manning products. $19.99 $29.99 you save $10 (33%)
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In this liveProject, you’ll stretch your Python data science skills by building a simulator for popular Blackjack variant game 21. You’ll design your simulation step-by-step, then use visualization techniques to interpret your findings. By the end of your project, you’ll have a winning strategy for playing card games and new skills with fundamental Python libraries like NumPy and SciPy.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

project author

Emre Rencberoglu
Emre Rencberoglu is a senior data scientist with over seven years of experience in machine learning, statistics, analytics, and data engineering. He developed numerous machine learning projects and built data pipelines from scratch using R, Python and Spark. Currently, he is leading a data science team of ten in one of the biggest e-commerce companies in the Europe, Middle East, and Africa region.


The liveProject is for intermediate Python programmers who want to improve their mathematical simulation skills. To begin this liveProject you will need to be familiar with the following:

  • Intermediate Python: loops, conditions, data structures, simple scripts
  • Basic plotting using Matplotlib and seaborn
  • Basic Jupyter Notebook
  • Basic statistics: basic functions and distributions

you will learn

In this liveProject, you’ll work out your Python data science skills in the field of simulations for making predictions. You’ll develop an important understanding of common data science and statistics techniques that will be vital in future projects in the field.

  • Python fundamentals to setup simulation environments and test the possible hypotheses
  • Simulating real-life game environments in Python
  • NumPy and SciPy for mathematical operations
  • Matplotlib and seaborn to visualize results


You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
Each project is divided into several achievable steps.
Get Help
While within the liveProject platform, get help from other participants and our expert mentors.
Compare with others
For each step, compare your deliverable to the solutions by the author and other participants.
book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.