Python and Pandas for Data Engineering

Python and Pandas for Data Engineering

Python and Pandas for Data Engineering This course is part of Python, Bash and SQL Essentials for Data Engineering Specialization Taught in English 21 languages available Some content may not be translated Instructors: Kennedy Behrman +2 more Close Instructors Instructor ratings We asked all learners to give feedback on our instructors based on the quality

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Description

Python and Pandas for Data Engineering

In recent years, the field of data engineering has experienced significant growth, driven by the increasing amount of data being generated and the need for organizations to efficiently process and analyze this information. As a result, tools and technologies that simplify the task of managing and manipulating data have become increasingly important. Python and Pandas are two such tools that have gained popularity among data engineers for their ease of use and efficiency in handling data.

Python, a high-level programming language, has become one of the most widely used languages in the field of data engineering. Its simplicity and readability make it a popular choice among data engineers who need to quickly prototype solutions and analyze large datasets. Python’s extensive library ecosystem provides data engineers with a wealth of tools for data manipulation, visualization, and analysis,

Python and Pandas for Data Engineering

This course is part of Python, Bash and SQL Essentials for Data Engineering Specialization

Taught in English

Some content may not be translated

Kennedy Behrman
Alfredo Deza
Noah Gift

Instructors: Kennedy Behrman

19,076 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.6

(181 reviews)

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96%

Beginner level

Recommended experience

51 hours (approximately)
Flexible schedule
Learn at your own pace

What you’ll learn

  • Setup a provisioned Python project environment

  • Use Pandas libraries to read and write data into data structures and files

  • Employ Vim and Visual Studio Code to write Python code

Details to know

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Assessments

24 quizzes, 1 assignment

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