Python Data Science Toolbox (Part 1)

Starting at USD 39.00
3 hours duration

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

In order to enhance your proficiency in Python, it is crucial to further develop your skills. Python offers a wide range of exceptional functions and a library ecosystem. However, as a data scientist, it is essential to be able to create your own functions to address specific problems related to your data. This introductory Python Data Science Toolbox course will teach you the art of function writing. By the end of this course, you will have the ability to construct custom functions with multiple parameters and return values. Additionally, you will learn how to incorporate default arguments and variable-length arguments into your functions. This course will also provide you with insights into scoping in Python, enabling you to write lambda functions and effectively handle errors in your function writing practice. Each chapter of this course will conclude with practical exercises where you will apply your newly acquired skills to write functions that analyze Twitter DataFrames.

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DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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