Our three-day course is an introduction to data science and the Python programming language, exploring many of the key libraries and tools commonly used in the financial services industry. Aimed at finance professionals, the course builds real solutions for data analysis using Pandas, visualisation using Matplotlib and Plot.ly, and n-dimensional matrix manipulation and linear algebra using Numpy.
The course is run by Instructors with experience in Financial and Trading systems, therefore adding value with highly relevant Labs and models.
This course is of benefit to Financial Traders, business analysts, quantitative analysts, sales and marketing, financial software developers and any professional seeking to perform data analysis. Prior knowledge of Python is not required.
What will you learn?
The course spans three days, during which time you will learn:
How will you learn it?
This course is hands-on. There are multiple labs that will explore different aspects of financial analysis, including:
This course is supported by several instructors with extensive experience of technology within financial services :
See why people choose JBI
20/12/2018: Python or R in tomorrow’s world? Python and R are popular programming languages extensively used by data scientists today. But what about tomorrow...
10/12/2018: Natural Language Processing is right at the cutting-edge of Artificial Intelligence, and the handling of data is critical to its success. Computers,...
16/11/2018: Data Analytics – the process of analysing data sets – enables organisations to make better-informed decisions. It’s a key focus in many businesses...
19/10/2017: Nowadays, there is a significant business advantage in being able analyse, process and visualize "big data". While there is no agreed definition...
13/10/2017: This organisation needed their Supply Chain department to get fully involved with Microsoft’s Power BI reporting product as soon as possible....
12/10/2017: The Graduate Programme provided a gateway into technology within investment banking. Graduates (Computer Science, Engineering, Maths, Physics...
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