Duke University
Python and Pandas for Data Engineering

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Duke University

Python and Pandas for Data Engineering

Kennedy Behrman
Alfredo Deza
Noah Gift

Instructors: Kennedy Behrman

23,213 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.6

(215 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 51 hours
Learn at your own pace
96%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.6

(215 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 51 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

Details to know

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Assessments

25 assignments

Taught in English

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Build your subject-matter expertise

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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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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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

Instructors

Instructor ratings
4.7 (64 ratings)
Kennedy Behrman
Duke University
7 Courses47,919 learners

Offered by

Duke University

Recommended if you're interested in Data Analysis

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Learner reviews

Showing 3 of 215

4.6

215 reviews

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  • 3 stars

    3.72%

  • 2 stars

    1.39%

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    2.79%

BL
4

Reviewed on Jun 29, 2022

JM
5

Reviewed on Dec 5, 2022

SS
5

Reviewed on Jan 3, 2024

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