Pandas Joins for Spreadsheet Users

Starting at USD 39.00
4 hours duration

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

The process of joining multiple datasets is crucial for conducting real-world analysis. If you have previous experience using spreadsheets and functions like VLOOKUP, you can easily build upon that knowledge as you transition to Python. This course will provide you with a comprehensive understanding of how to merge datasets using pandas, which is widely recognized as the top tool for manipulating tabular data in Python. Throughout the course, you will gain hands-on experience by combining data from the National Football League (NFL) within a familiar spreadsheet environment. By mastering these pandas functions, you will gain the ability to seamlessly integrate larger and more intricate datasets into any analysis you undertake.

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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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