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
This course is part of Python, Bash and SQL Essentials for Data Engineering Specialization
Instructors: Kennedy Behrman
Sponsored by HKUST
24,297 already enrolled
(222 reviews)
Recommended experience
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
- Package and Software Management
- Git (Version Control System)
- Data Science
- Devops Tools
- Extract, Transform, Load
- Microsoft Development Tools
- Software Engineering Tools
- Scripting Languages
- Python Programming
- Jupyter
- Development Environment
- Data Manipulation
- Scripting
- Software Development Tools
- Pandas (Python Package)
- Data Processing
- Data Engineering
- Computer Programming Tools
- Big Data
- Data Analysis
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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 videos12 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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Reviewed on Jun 29, 2022
Good for quick basics of working with bash, github, python, virtual environments and such
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.
Reviewed on Jan 3, 2024
Exceptional course content, would recommend to anyone who got a break from hands on data engineering core skills !
Recommended if you're interested in Data Science
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