About the course:

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.

In a nutshell Who should attend Flexible training Course syllabus

By the end of this course, you will have learnt about:

Anaconda, conda and Jupyter
Python data analytics tools: NumPy and Pandas
Data cleaning and preparation
Data Analysis
Data Visualisation

Who should attend

Analysts, Data Scientists, and software developers who want to get a practical introduction to Data Science and Machine Learning with Python.

Prerequisites

Delegates should ideally have some prior experience programming and / or of using statistical analysis techniques. Any experience with Python would be beneficial but we will give you "just enough" Python pointers to be able to create real-world workable solutions to data analysis challenges.

Live, instructor-led online and on-site training

We appreciate that you need flexibility to fit in with new working situations - whether you're an individual, part of a distributed team, or simply have projects and deadlines to meet.

Our remote training can take place online in a virtual classroom, with content split into modules to accommodate your scheduling challenges and meet your learning goals. Get in touch today to find out how we can help design a cost-effective, flexible training solution.

As soon as it's safe, we'll return to also offering the on-site custom training courses and programmes upon which we've built our reputation.

Environment Set-up

The Anaconda distribution as Python Data Science platform
Overview on Python virtual environment set-up
Running code in Jupyter notebook