#13 Reading Data | Python for Data Science
193.1K views on YouTube
Welcome to ‘Python for Data Science’ course !
This video explains how to import data from common file formats into Spyder. It focuses on .csv (Comma Separated Values) and .xlsx (Excel) file formats, noting that these are commonly used in data science because they store data in a tabular format that can be easily read and analyzed. It further notes that the imported data will be stored as a DataFrame, a two-dimensional tabular data structure provided by the `pandas` library.
NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications.
To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106212
#ReadingData #FileFormats #CSV #XLSX #TextFiles #DataImport