Data Types for Data Science in Python

Engineering and Technology

Short Description

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

Long Description

Are you proficient in basic Python programming for Data Science but eager to expand your skills? If so, this course is tailored for you. Throughout this course, you will strengthen and apply your understanding of lists, dictionaries, tuples, sets, and date times. You will discover their significance in handling extensive real-world data and learn how to effectively utilize them together to solve complex problems. Additionally, you will engage in an in-depth case study involving Chicago metropolitan area transit data. Furthermore, you will gain proficiency in utilizing various objects within the Python Collections module, enabling you to efficiently store and manipulate data for diverse Data Science purposes. By completing this course, you will be equipped to approach numerous Data Science challenges using Pythonic techniques.

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Course Details

Duration: 4 hours
Difficulty: Intermediate
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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