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Introduction to Importing Data in Python
4.8(1,439)338k studentsBEGINNEREnglish
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Overview
This entry-level Python course covers fundamental techniques for loading datasets into Python from diverse file formats and database systems. You learn to ingest flat files (.txt, .csv), native software files (Excel, SAS, Stata, MATLAB), and perform database queries against relational storage like SQLite and PostgreSQL.
Who It Is For
Beginner Python data analysts and data scientists starting their data wrangling and analytics journey.
Key Takeaways
- Import flat text files, CSVs, and Excel spreadsheets into Python.
- Read proprietary data formats from software tools like SAS, Stata, and MATLAB.
- Connect Python scripts to relational databases including SQLite and PostgreSQL to query data.
About this course
As a data scientist, you will need to clean data, wrangle and munge it, visualize it, build predictive models, and interpret these models. Before you can do so, however, you will need to know how to get data into Python. In this course, you'll learn the many ways to import data into Python: from flat files such as .txt and .csv; from files native to other software such as Excel spreadsheets, Stata, SAS, and MATLAB files; and from relational databases such as SQLite and PostgreSQL.
The videos contain live transcripts you can reveal by clicking "Show transcript" at the bottom left of the videos.
The course glossary can be found on the right in the resources section.
To obtain CPE credits you need to complete the course and reach a score of 70% on the qualified assessment. You can navigate to the assessment by clicking on the CPE credits callout on the right.
Price
Free
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