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    Fundamentals of Data Science with Python

    Posted By: IrGens
    Fundamentals of Data Science with Python

    Fundamentals of Data Science with Python
    .MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 2h 38m | 433 MB
    Instructor: Nicolas Rangeon

    Implement powerful data science techniques with Python using NumPy, SciPy, Matplotlib, and scikit-learn

    Key Features

    Use Python with a variety of libraries to get deeper insights from your data
    Address data science challenges with Python and its extensive collection of libraries along with practical examples that you can implement
    Gain the key skills and understanding you need to start integrating and developing Python-based solutions into your own data science activities

    What You Will Learn

    Use Python for data mining, loading, and manipulation
    Understand simple statistics and probability using NumPy
    Work with Bayesian statistical analysis with NumPy library
    Perform statistical modeling and fitting using the NumPy, SciPy, and statsmodels libraries
    Use Python's graphics libraries to plot data with the Matplotlib library
    Work with the scikit-learn library to build AI models

    About

    Python has grown into a key language that can be used to develop solutions for a variety of data science challenges. This course will teach you the fundamentals of data science using Python and its growing collection of libraries that focus on particular elements of data science.

    In this course, we will get hands-on with a variety of data science tasks. After a quick primer on Python, you will start with a quick task: sourcing, processing, and cleaning a dataset. Then, you will use Python to mine data from its source and analyze available data via statistical and probability analysis techniques by using NumPy and pandas. You will also look at modeling data in order to perform Artificial Intelligence prediction by using the SciPy, scikit-learn, and statsmodels libraries. The course also covers visualization methods using the Matplotlib library to display this analysis and visually demonstrate patterns in the data.

    By the end of this course, you will be able to work on data science tasks in a practical way with different Python libraries and achieve your goals.

    The code files for this course are available at - https://github.com/PacktPublishing/Fundamentals-of-Data-Science-with-Python-


    Fundamentals of Data Science with Python