Streamlined Data Ingestion with pandas

Engineering and Technology

Short Description

Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

Long Description

This course focuses on the initial step of data analysis, which is acquiring the necessary data. It provides instruction on constructing pipelines to import data stored in commonly used formats. The course utilizes pandas, a prominent Python library for analytics, to retrieve data from diverse sources such as survey response spreadsheets, public service request databases, and popular review site APIs. Throughout the course, participants will gain knowledge on optimizing imports to extract only relevant information and resolving issues related to incorrect data types. Additionally, participants will have the opportunity to create a customized dataset by combining data from multiple sources.

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Course Details

Duration: 4 hours
Format: Short Course
Price: USD39.00
Course Link

DataCamp

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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