Our Python for Data Analysts and Quants training course covers an introduction to the core concepts of the Python language and data science, ultimately focusing on big data analytics including how best to manipulate and visualise your data with Python's excellent library support.
This intensive course is intended for Data Scientists, Quants, Data Analysts and Business Intelligence experts who want to understand how to use Python in their data-oriented environment.
Practical exercises and interactive walk-throughs are used throughout, so attendees have the opportunity to apply the concepts on real data science applications, from exploratory data analysis to predictive analytics.
The Python Machine Learning syllabus is designed to help analysts, researchers, BI experts and developers becoming familiar with the implementation of Machine Learning solutions, through the use of tools in the Python programming language ecosystem.
Using a mix of frontal presentation and interactive examples, the course provides a comparison between Supervised and Unsupervised Learning, and offers an overview on core algorithms for predictive analytics, tackling tasks such as classification, clustering, regression analysis and dimensionality reduction. Notions of Neural Networks and latest developments in Deep Learning are also discussed.
Quants, Data Scientists, Data Analysts, Financial Analysts, Business Intelligence experts who are new to Python.
Python developers who are new to Data Science or want to know more about the Python tools for Data Analysis.
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