Link to Content:

DataCamp pandas Foundations

Created/Published/Taught by:

DataCamp

Dhavide Aruliah

Hugo Bowne-Anderson

Yashas Roy

Content Found Via:

DataCamp

Free? Partially: Some Free Content, Some Paid

Cost Range:

$0.00 - $29.00

Tags: data manipulation / numpy / pandas / python

Content Type: Courses / Interactive tutorial style course

Difficulty Rating:

Difficulty Rating:

FromÂ DataCamp:

“Many real-world data sets include strings, integers, time-stamps and unstructured data. How do you store data like this so that you can manipulate it and easily retrieve important information? The answer is in a pandas DataFrame! In this course, you’ll learn how to use the industry-standard pandas library to import, build, and manipulate DataFrames. With pandas, you’ll always be able to convert your data into a form that permits you to analyze it easily. You’ll also learn more about NumPy, how it stores data, and its relation to the pandas DataFrame.”

This course consists of four chapters:

- Data ingestion & inspection
- Exploratory data analysis
- Time series in pandas
- Case Study – Sunlight in Austin

Recommended Prerequisites: No prerequisites specified.

Go to Content: DataCamp – pandas Foundations

Log in to post a review.