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Terms and conditions for the ‘win a course competition to celebrate EARL in September’

We are offering the chance to win either ‘Introduction to R for Analytics’ or ‘Introduction to Python for Analytics’ to celebrate the Enterprise of the Applications of R Language Conference (EARL) taking place in September 2021.

To win, simply complete this form by the 30th September 2021 at midnight UK time. The winner will be selected by a committee of four Data Scientists from the Mango Solutions team and an independent judge.

  • The competition will start on 27th August at 8.00am UK time
  • The entire form must be completed to be a valid entry (entries that are not fully completed will be void)
  • Anyone working in data can enter – the prize is only for yourself and colleagues from the same company
  • One entry per person
  • Only one winner will be chosen
  • Entry to the competition is free
  • The closing date is 30th September 2021 midnight UK time
  • The winner will be selected by 8th October 2021
  • The winner will be chosen by a panel of 4 members of the Mango Solutions team, their names are available on request and one independent non- Mango judge
  • The judging panel will judge on the answers given
  • The prize is either ‘Introduction to R for Analytics’ or ‘Introduction to Python for Analytics’ free course which both are 2-day long courses
  • The winner will be notified by email
  • The course will be delivered online only and to a minimum of 5 people and a maximum of 10 people from the same company
  • The course will be delivered live, in a private session by one of our experienced Data Consultants
  • There will be a 3 month allocation period to agree on the delivery date from January 2022 until March 2022, the prize must be delivered by 31st March midnight 2022
  • The prize does not include any additional costs and expenses
  • Standard Mango training T&Cs must be signed
  • We will use the personal information you provide to administer the competition and contact the winner
  • The surname and county of the winner will be made available on request
  • Please let us know before the closing date if we cannot name you publicly as the winner
  • The winner may be asked to take part in publicity
  • The courses are non-transferable and there is no alternative prize
  • Employees of Mango solutions/ Ascent and their immediate families are ineligible to enter this competition
  •  The terms and conditions are under the laws of England and the jurisdiction of the English courts
  • The competition is not sponsored endorsed administered by or associated with Linkedin or Twitter

Judging Criteria

The judging criteria will be based on your answers in the submission under the core headings. Mango will review every nomination and assess the need for upskilling:

Data team – it would be helpful to understand more about your team, the roles & responsibilities and types of skill sets across the team

Analytic objectives – what are your team objectives for your data remit and how do they align to the overall business goals?

Team maturity – How would you define your team maturity – you might want to consider in terms so the team, stakeholder relations and goals

Skill gaps – what are the primary skills in the team, how do these align to your key goals and what are the perceived gaps?

Justification for training  – why are your team worthy of winning?

Prize course overviews:

Introduction to R for Analytics

This two day introduction to R focuses on getting started with common data tasks. By the end of this course, attendees will be confident in how they can import data, perform common manipulation tasks and visualise data. Along the way they will be introduced to a variety of data types including dates and categorical data. This course will be taught using the popular tidyverse set of packages and is ideal for those new to R who want to quickly get started with analytics in R.

Prerequisites – No prior knowledge of R, or programming, is assumed.

DSR Trait: Programmer

Duration: 2 Days

Level: Breakthrough

Introduction to Python for Analytics

This two day introduction to Python focuses on getting started with common data tasks. By the end of this course, attendees will be confident in how they can import data, perform common manipulation tasks and visualise data. Along the way they will be introduced to a variety of data types including dates and categorical data.

Prerequisites – No prior knowledge of R, or programming, is assumed.

DSR Trait: Programmer

Duration: 2 Days

Level: Breakthrough