Python Data Science Toolbox (Part 2)

Starting at USD 39.00
4 hours duration

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

This second course on the Python Data Science Toolbox focuses on further enhancing your Python data science skills. The course begins by delving into iterators, which you have already encountered in the context of for loops. Subsequently, you will explore list comprehensions, an invaluable tool for data scientists working with Python. Finally, the course concludes with a comprehensive case study, allowing you to apply the techniques learned throughout both parts of this course.

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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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