Course description
This course offers an intensive hands-on introduction to the use of Python in financial data analysis, utilizing powerful libraries to apply statistical and analytical techniques. Practical case studies using real-world data from tickers to stock indices provide hands-on experience in the Python Jupyter notebook environment.
Delegates will already know how to code in Python and will be exposed to the potential of the programming language by using powerful, open-source libraries. The training is specialized to the financial services sector and applications of data analytics with Python in this domain.
Upcoming start dates
Suitability - Who should attend?
This course is ideal for financial analysts, business analysts, portfolio analysts, quantitative analysts, risk managers, model validators, quantitative developers and information systems professionals. Attendees should have a good understanding of base Python along with packages such as Pandas.
Outcome / Qualification etc.
Key Learning Outcomes:
- Effectively use Python in a data analysis context to import, clean, reshape and analyze data
- Describe the Python libraries that are relevant to data analytics and use them fluently
- Critically evaluate and deploy a range of advanced statistical and analytical techniques to extract insights and make predictions from data using the Python programming language
- Communicate analytical insights and observations to both technical and non-technical stakeholders using sophisticated data visualization techniques
- Draw informed conclusions that facilitate data driven decisions.
Why choose Fitch Learning
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Over 1,300 clients worldwide
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Fitch Learning
Part of the Fitch Group, Fitch Learning partners with clients to enhance knowledge, skills and conduct. With centers in London, New York, Singapore, Dubai and Hong Kong, we are committed to questioning and understanding client needs across the globe and...