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Learn Data Analytics with NumPy and Pandas
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"I thought the introduction stage and discussion exercises to be very useful."
Data Analysis with Python Training Course
EL, Software Engineer
Major UK retail and commercial bank
Our instructor-led Python Data Analysis training course covers an introduction to the core concepts of the Python language, ultimately focusing on Big Data Analytics including how to best manipulate and visualise your data with Python's excellent library support.
This data analytics course is intended for Data Scientists, Data Analysts and Business Intelligence professionals who want to understand how to use Python tools to improve data handling capabilities; it's also suitable for Python developers who are looking to move into Data Science.
Practical exercises and interactive walkthroughs are used throughout, so attendees have the opportunity to apply the proposed concepts on real Data Science applications, from exploratory data analysis to predictive analytics.
You can save money if you purchase this course in conjunction with our Machine Learning with Python course - see the Python Data Science combined training course for details and to book.
We're happy to offer this instructor-led Data Analytics training online; in-person at our London training centre, or at your location of choice. Please get in touch to find out about flexible options to suit your team.
Framework Training has been chosen by CERN to be their Python training partner – from teaching non-programmers learn to code to helping scientists to get maximum insight from data generated by the Large Hadron Collider.
Standard duration: 3 Days
All prices are excluding VAT.
If our published dates don’t work for you, please get in touch – we are happy to explore scheduling additional courses.
Book or reserve a spaceSecure or reserve a space on a public scheduled course date.
If you want to explore how you can tailor this course for your organisation, want to sign up for our newsletter, or have any other questions then please speak to us on 020 3137 3920 or get in touch using this form.