Data Privacy and Anonymization in Python

Business and Economics

Short Description

Learn to process sensitive information with privacy-preserving techniques.

Long Description

Data privacy is a paramount concern in today's digital landscape. However, striking a balance between safeguarding privacy and harnessing valuable business insights is crucial. This comprehensive course equips you with the knowledge and techniques employed by industry giants like Google and Amazon. You will delve into the realm of data generalization and privacy models, such as k-Anonymity and differential privacy. Additionally, this course covers essential aspects like GDPR compliance. Moreover, you will gain proficiency in constructing and training machine learning models using Python, all while ensuring the protection of sensitive user information, including employee and income data. Embark on this transformative learning journey now!

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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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