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For data to be useful and meaningful, it must be curated and refined. This Data Wrangling with Python course teaches you the core ideas behind these processes and equips you with knowledge of the most popular tools and techniques in the domain.
The course starts with the absolute basics of Python, focusing mainly on data structures. It then delves into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialised pre-built routines in Python. This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. This data wrangling course will further help you grasp concepts through real-world examples and datasets.
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12 - 14 Aug 9:00 AM - 4:30 PM BST London / Online (AnyWare) Reserve Your Seat
28 - 30 Oct 9:00 AM - 4:30 PM GMT London / Online (AnyWare) Reserve Your Seat
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7 - 9 Oct 2:00 PM - 9:30 PM BST Herndon, VA / Online (AnyWare) Reserve Your Seat
9 - 11 Dec 2:00 PM - 9:30 PM GMT New York / Online (AnyWare) Reserve Your Seat
6 - 8 Jan 2:00 PM - 9:30 PM GMT Herndon, VA / Online (AnyWare) Reserve Your Seat
10 - 12 Mar 2:00 PM - 9:30 PM GMT New York / Online (AnyWare) Reserve Your Seat
Guaranteed to Run
When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time — will run. Guaranteed.Data Wrangling with Python takes a practical approach to equip beginners with the most essential data analysis tools in the shortest possible time. It contains multiple activities that use real-life business scenarios for you to practise and apply your new skills in a highly relevant context.
It is the process of unifying and cleaning raw data sets to make them easier to analyse.
Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want, including online training.