The book is self-contained. All of the math, statistics, stochastic, and programming skills required to master the content are covered. In-depth knowledge of object-oriented programming isn't required because complete examples are provided and explained.

Data Science Fundamentals with Python and MongoDB is an excellent starting point for those interested in pursuing a career in data science. Like any science, the fundamentals of data science are a prerequisite to competency. Without proficiency in mathematics, statistics, data manipulation, and coding, the path to success is "rocky" at best. The coding examples in this book are concise, accurate, and complete, and perfectly complement the data science concepts introduced.

Prepare for a career in data science; Work with complex data structures in Python; Simulate with Monte Carlo and Stochastic algorithms; Apply linear algebra using vectors and matrices; Utilize complex algorithms such as gradient descent and principal component analysis; Wrangle, cleanse, visualize, and problem solve with data; Use MongoDB and JSON to work with data.

## Book Details | |

Publisher: | Apress |

By: | David Paper |

ISBN-13: | 9781484235966 |

ISBN-10: | 1484235967 |

Year: | 2018 |

Pages: | 214 |

Language: | English |

## Book Preview | |

Online | Data Science Fundamentals for Python and MongoDB |

## Free Download | |

Source Code | Data Science Fundamentals for Python and MongoDB |

## Paper Book | |

Buy: | Data Science Fundamentals for Python and MongoDB |

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