In this first course of the Python, Bash and SQL Essentials for Data Engineering Specialization, you will learn how to set up a version-controlled Python working environment which can utilize third party libraries. You will learn to use Python and the powerful Pandas library for data analysis and manipulation. Additionally, you will also be introduced to Vim and Visual Studio Code, two popular tools for writing software. This course is valuable for beginning and intermediate students in order to begin transforming and manipulating data as a data engineer.
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
Instructors: Kennedy Behrman
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273 reviews
Beginner level
Recommended experience
Flexible schedule
5 weeks at 10 hours a week
Learn at your own pace
96%
Most learners liked this course
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
Skills you'll gain
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
25 assignments
Taught in English
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This course is part of the Python, Bash and SQL Essentials for Data Engineering Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
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Showing 3 of 273
BZ
Reviewed on Mar 9, 2023
The lessons were laid out well and were easy to follow. I enjoyed how the labs reinforced the material that was covered.
SM
Reviewed on Aug 15, 2022
Great introduction to how to set up your python environment.
OR
Reviewed on Nov 8, 2022
This is a great training course, simple and interesting. This course contains a well-balanced variety of topics, such as vim usage, pandas, dask, and git among others It is highly recommended.
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