Python is an incredibly popular and powerful language for programming all sorts of functions and its use in data science has grown significantly over the years. There are tools such as Jupyter Notebooks which allow users to share live code, documentation, graphs, plots, and visualizations in a notebook, and Pandas, a software library used for data manipulation and analysis. With these tools you'll be able to easily create an ETL (extract, transform, load) pipeline and wrangle your data into clean, easily-accessible formats.
In this course you will learn how to:
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2 Days | Get a Quote | ||
2 Days | Get a Quote |
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Leading Training's Python Course or equivalent knowledge
Using Jupyter Notebooks
Creating Dataframes
Importing/Exporting Data
Data Wrangling
There are currently no scheduled dates.