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
25,975 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.6
(241 reviews)
Beginner level
Recommended experience
Flexible schedule
Approx. 52 hours
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
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
In this module, you will learn how to set up an isolated Python environment with third party libraries and apply it by setting up a virtual environment including Pandas and Jupyter.
What's included
15 videos13 readings6 assignments1 discussion prompt6 ungraded labs
In this module, you will learn how to create and use Python Sequences, Dictionaries, Sets, List Comprehensions, and Generators. Additionally, you will learn how to apply these by manipulating client data in a Jupyter notebook.
What's included
12 videos6 readings8 assignments5 ungraded labs
In this module, you will learn how to load data into a Pandas DataFrame and write statements to select columns and rows from a DataFrame. Additionally, you will apply comparison and boolean operators as a method of selecting data.
What's included
10 videos7 readings4 assignments8 ungraded labs
This week, you will learn the basics of some popular development environments and apply it by writing code in Vim and Visual Studio Code. Additionally, you will learn how to check your code into a Git repository.
What's included
12 videos7 readings7 assignments8 ungraded labs
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Learner reviews
4.6
241 reviews
- 5 stars
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4.14%
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1.24%
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Showing 3 of 241
MR
5
Reviewed on Nov 22, 2023
Very helpful to get a strong grip on the fundamentals
BL
4
Reviewed on Jun 29, 2022
Good for quick basics of working with bash, github, python, virtual environments and such
SM
4
Reviewed on Aug 15, 2022
Great introduction to how to set up your python environment.
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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