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Data Analysis with PythonFocus on Training
Data Analysis with Python
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This course focuses on the extensive features of the Python data analysis workhorse library, Pandas, and its visualisation counterpart Matplotlib. It covers the reading, preparation and manipulation of tabular data from various sources and in various common formats. Most wrangling and manipulation processes are covered. Time series data processing and practical linear regression are also covered. For the programming environment we use JupyterLab on the Anaconda platform. Anaconda is one of the most, if not the most, popular data science platforms.
Who will the Course Benefit?
This course is designed for anyone with Python programming experience wanting to gain a solid foundation in Python's data analysis libraries. It is a must for aspiring Data Analysts and Scientists. Existing Data Analysts wanting a systematic introduction to Python's Data Analysis tools would also find the course very useful.
We believe in learning by doing and take a hands-on approach to training. Delegates are provided with all required resources, including data, and are expected to code along with the instructor. The objective is for delegates to reproduce the analysis in our manuals as well as gain a conceptual understanding of the methods.
Exercises and examples are used throughout the course to give practical hands-on experience with the techniques covered.
This course aims to provide delegates, who already have Python programming experience, in-depth knowledge of Python's main data analysis and visualization libraries (Pandas and Matplotlib). The knowledge gained will enable delegates to design and develop enterprise level data analytics solutions.
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