Overview
Context
Pandas is a crucial cornerstone of the Python data science ecosystem, with Stack Overflow recording 5 million views for pandas questions.
Learn to handle multiple DataFrames by combining, organizing, joining, and reshaping them using pandas in this Joining Data with pandas course offered by Data Camp.
You'll work with datasets from the World Bank and the City Of Chicago. You will finish the course with a solid skillset for data-joining in pandas.
What you'll learn:
- Concatenate and Manage DataFrame Integrity
- Filter, Query, and Reshape Data for Analysis
- Merge Using Index, Hierarchical, and Time-Series Structures
- Perform and Customize DataFrame Joins
Programme Structure
Chapters include:
- Data Merging
- Advanced Merging and Concatenating
- Merging Tables With Different Join Types
- Merging Ordered and Time-Series Data
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Campus Location
- New York City, United States
Disciplines
Data Science & Big Data View 467 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This course is beneficial for aspiring data scientists, as it will equip them with the skills needed to effectively join data with pandas. Business analysts, financial analysts, and software engineers will also benefit from knowing how to join and reshape datasets with pandas.
- Data Manipulation with pandas
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions