Course overview
Get to grips with a number of different Python packages that are commonly used for data analysis like Pandas, CSV, Numpy and SciPy.
The course is available in four formats:
- Campus
- Clients office
- Online (virtual classroom) with live tutoring
- Bespoke (group or 1:1 coaching)
For additional course dates, please visit our Eventbrite.
100% of AIR income, beyond operational expense, is used towards education and research. Read more…
Explore data analysis
Pandas, Numpy, SciPy and CSV are all libraries, which are a group of features and functionalities for the programming language Python. The libraries looked at in this intermediate course, are used mainly for data analysis and can help you can use to analyse, filter, manipulate, aggregate, merge, pivot and clean datasets.
This three-day course focuses on how to write and run simple data analysis in Python and builds on these using some of the extensions available in Python. You’ll also manipulate and clean data as well as use the stats library to conduct basic statistic tests.
On this course, you’ll also look at:
- Conducting simple statistical analyses: The Python Numpy Module
- Combining For/While loops and Numpy for complex analysis
- Using Pandas to import and manipulate datasets.
For this course, you’ll need some basic experience with Python, be able to conduct simple statistical analysis. You also have the option to bring your own dataset if you have it.
This course can also be taken with our short course Introduction to Python.
Campus Courses - VAT-free: Our venues are in central London (Senate House) and in New Cross. You can select your preferred location by choosing the date available.
Virtual Classroom Courses - VAT-free: Live tutoring brings all the benefits of face to face training and, in addition, improves skills for ‘digital’ participation. There is an increasing need for online activities in all areas of life – making ‘digital’ participation an essential skill of the 21st century.
Bespoke Courses: If you are interested in a tailor-made Public Speaking course option: 1-1 coaching or bespoke group training, please contact us using the email or phone number provided below.
Fees
Please see booking page for fees.
Goldsmiths offers a 15% concession rate on short courses to Lewisham Local cardholders, Students and Goldsmiths Alumni. Please email shortcourses@gold.ac.uk for further information.
Booking information
Please note our short courses sell out quickly, so early booking is advisable.
Enquiries
Find out more about all of the AIR courses available to you.
For all enquiries, and to be regularly updated on upcoming AIR courses, please email: air (@gold.ac.uk). For anything urgent, or if emailing is not a good option for you, you can also call us via WhatsApp or phone on +44 (0)7908 566 949.
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Disability Support
We are committed to providing reasonable teaching adjustments for students with disabilities that may impact on their learning experience. If you require adjustments, please complete the relevant section on the booking form and also contact us at shortcourses@gold.ac.uk so we can respond to your requests as soon as possible.
Please note our short courses sell-out quickly, so early booking is advisable.
Book now
Tutor information
Carlos Salas
The course is supervised by Carlos Salas Najera, who has more than 15 years of experience in investments, data science and machine learning. Carlos has a BSc in Economics, MSc in Finance as well as postgraduate education in Data Science and Machine Learning at the New York City Data Science Academy. He is a holder of the CFA and CQF professional investment certificates. Carlos is an FCA-regulated C30 investment professional whose career spans investment firms such as Santander AM, BNP Paribas AM, LCAM and Jefferies International. In addition, Carlos is also deeply committed to education and research initiatives. He leads the CFA Machine Learning Working Group; and has advised the IFRS Foundation on new accounting standards.
