Cleaning Data in PostgreSQL Databases

Engineering and Technology

Short Description

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

Long Description

Cleaning data is a crucial task that is consistently reported as one of the most common responsibilities for data scientists and data analysts. This is due to the inherent messiness of real-world data. To equip you with the necessary skills to effectively clean data stored in a PostgreSQL database, this course offers comprehensive instruction. Throughout this course, you will gain proficiency in addressing prevalent issues encountered during data cleaning. These include handling untidy strings, managing empty values, evaluating string similarity, and more. By actively engaging in hands-on exercises, you will have the opportunity to apply these techniques to intriguing datasets sourced from New York City's Open Data program. Are you prepared to transform disorderly data into a well-organized and reliable resource?

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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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