Course description
This course offers a practical introduction to the use of Python for data analysis by covering fundamental concepts and applications. Powerful libraries such as pandas and numpy are used extensively with real-world financial data.
Python is a general-purpose programming language used for rapid application development, task automation and data analytics. Python is intuitive to read due to its clear and simple syntax that resembles English. The Python ecosystem contains many open-source libraries which can help analysts and developers within the financial services industry.
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. No prior coding experience is necessary. Those who want to harness the power of the growing amount of data available, and move beyond using Excel to analyse large financial datasets and begin using the Python programming language to clean, analyse and visualise complex financial data.
Outcome / Qualification etc.
Key Learning Outcomes:
- Understand the fundamentals of installing Python in a data analysis context and utilizing its powerful open-source libraries
- 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
- Apply descriptive and summary statistics using the Python programming language
- Produce basic visualisations in Python to empower the communication of data analysis findings
- Draw informed conclusions that facilitate data driven decisions.
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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...