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Unearth vital business information with Visualisation & Machine Learning
We can tailor your syllabus to take into account your group's current skills, technology stack, and specific learning goals - as part of a wider training programme or as a standalone workshop.
Enquire now to find out about our cost-effective options:
Contact us about group training
" The Jupyter notebooks were really handy, and I liked the group work using the breakout room feature of Zoom. Although the participants were from different backgrounds, Marco handled this very well by constantly checking if anyone has questions, adding explanations and making sure that the pace is right for the group. "
Data Science with Python Training Programmes
FSK, Data Analyst [Remote online course]
ActiveViam
"Mixture of lecture and tutorial content. "Learn by doing""
Data Science with Python Training Programmes
JD, Data Scientist
Winton Capital
" Course was very relevant, and all the basic topics were covered. Good pace. "
Data Science with Python Training Programmes
MFA, Data Analyst [Remote online course]
ActiveViam
" It was very good. In particular the separated chat rooms used for some of the exercises worked very well. "
Data Science with Python Training Programmes
JHO, Data Analyst [Remote online course]
ActiveViam
"Well-paced and clear demonstrations provided. Definitely a plus that it's using our environment for the session."
Elasticsearch Training Course with Kibana
TY, App Support Analyst
Glencore
Our Machine Learning and Visualisation for Data Mining with R training course, while something of a mouthful, is essentially about exploring and generating value from your data.
This course provides an overview of methods of data exploration and covers some of the more important techniques in data analysis, i.e. looking for patterns and meaning in your data.
R is a language designed expressly to provide a statistical programming environment that includes extensive graphical capabilities. It has rapidly become the de facto standard for analysts across many disciplines.
You will learn how to produce general summary statistics and how to explore your data visually using graphical methods. You’ll also learn how to rearrange your data using cross tabulation and contingency tables to help spot potential patterns. You will also learn some of the basics of machine learning by cluster analysis (unsupervised machine learning) and regression analysis (supervised machine learning).
Standard duration: 2 Days
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.