Data Analysis with Pandas & Jupyter
From loading the data to data transformation and visualization.
Discover the interactive computing platform Jupyter and perform data analysis with Pandas. As a versatile tool, Pandas allows you to perform complex data manipulation, aggregation and statistical analysis. Previous knowledge of Python is required for successful course participation.
What will you learn?
Jupyter Notebook: Get to know the interactive computing platform.
Data sources & data types: Access data from files, databases or web APIs.
Operations with Pandas: Apply typical transformations to become data analysis-ready.
Data processing with Pandas: Get an insight into the essential steps of data preparation.
Transformations: Filter, sort, group and aggregate your data and connect different data sources to create a data pipeline or extract relevant information.
Descriptive statistics: We show you how to carry out your first statistical analyses.
Data visualization: Present your data and communicate your results effectively.
Duration of the course: 2 days
After completing this course, you will be able to carry out data analyses independently and present your findings professionally. With Pandas and Jupyter, Python will become your most powerful tool in the world of data.
Price/participant: 899€ plus VAT.
(Benefit from an exclusive discount if you register for several courses).
You can count on it!
Live tutoring
Blended learning
Individual location & time planning
Materials available for download
Certificate of completion
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