Data is the new oil, but it comes crude. For data to be useful and meaningful, it must be curated and refined. Data Wrangling with Python teaches you the core ideas behind these processes by presenting real-world examples and datasets, utilizing the most popular tools and techniques in the domain.
The course starts with Python basics, focusing on data structures. It then delves into data wrangling tools like NumPy and Pandas libraries. You'll gain useful insights about avoiding traditional data cleaning, and instead take advantage of the specialized pre-built routines in Python. You’ll be able to extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. You'll also handle missing or incorrect data, and reformat it as needed.
By the end of this course, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently.
SKU | 035447LL |
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Weight | 0.0000 |
Coming Soon | No |
Days of Training | 3.0 |
Audience | Student |
Product Family | Partnerware |
Product Type | Remote Software Environments |
Electronic | Yes |
ISBN | No |
Language | English |
Page Count | No |
Curriculum Library | Python |
Year | No |
Manufacturer's Product Code | No |
Current Revision | 1.0 |
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Revision Notes | No Revision Information Available |
Original Publication Date | 2020-04-23 00:00:00 |