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TRAINERS FROM JUMPING RIVERS

HAVE RUN OVER 100 PROGRAMMING AND DATA SCIENCE COURSES ACROSS EUROPE

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EFFECTIVE DATA INSIGHTS

PROGRAMMING

Today it's impossible to analyse data without some programming knowledge. Standard data sets today, dwarf large datasets from a decade ago. We have courses at all levels, ranging from just starting out, to advanced concepts.

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ANALYTICS

Using your data in the correct way leads to faster insights. Our courses range from fundamental statistical methods to advanced machine learning techniques.

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GRAPHICS

When you have a mass of data, creating an effective visualisation can seem daunting. Don't worry, we provide you with tools needed to tame this data jungle.

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CONSULTANCY

We provide expert advice on all aspects of machine learning. Did we mention that we're preferred AI partners with Microsoft?

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WHAT'S IN A COURSE

All of our courses come with:

  • a comprehensive set of notes (not powerpoint slides!)
  • an associated R/python package
  • Practicals and solutions
  • An after course, online questionnaire

Your trainer has experience in both teaching and consultancy. We practice what we preach!

DISCOUNTS AVAILABLE

We offer a variety of discounts including an early bird discount - so book early. We also provide an academic/ student and multiple course discount. Details are on the booking form.

TAILORED ON-SITE TRAINING

Sending your entire team to us can be a bit of task. To avoid the upheaval of your team and expenses, we offer tailored on-site training where we send an expert trainer *to you!*. This means:

  1. All content covered in the training fits the tasks at your hands and the ability of your team.
  2. We will build you a bespoke set of notes, practicals, slides as well as a tailored R/Python package to use until your heart's content.
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TAILORED ON-LINE TRAINING

If the none of the above suit your needs, we are able to perform 1-1 or 1-many training online. The topics would again be bespoke to you and your team and each course would be built to suit the level of the team and meet the overall objective. For smaller tasks like reviewing of already written code, this method is perfect!

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