For data to be useful and meaningful, it must be curated and refined. This Data Wrangling with Python training 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 will 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 specialized 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 will cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool.
By attending Data Wrangling with Python workshop, delegates will learn to:
- Use a diverse array of sources to extract data.
- Clean, transform and format data efficiently.
- Use python tricks to transform data into useful and meaningful data sets.
The Data Wrangling with Python class is ideal for:
- Developers