Training Courses

Data Analytics Training Courses

Our Data Analytics Training Courses cover a wide range of topics including: data visualisation, predictive analysis, machine learning, statistical hypothesis testing, and R programming. Data analytics training courses can be held at our London training centre or your workplace. Data analytics training courses can also be attended online, via easy to use video conferencing software.

Our Training Courses in Data Analytics for Ecology, Conservation & Environmental Science are in two main forms:

  • General Data Analytics Courses – suitable for any discipline.
  • Ecology Data Analytics Courses – aimed at Ecology, Conservation & Environmental Scientists.

Many of our data analytics training courses feature the R program. R is a powerful and flexible Open Source statistical environment. The R program is used widely by Universities and Professionals for many tasks in Data Analytics, including: data visualisation, predictive analysis, machine learning, and statistical hypothesis testing.

We can also tailor our data analytics training courses to produce bespoke training in data analysis to best suit your requirements.

Training Course Prospectus

Since COVID-19 online courses have been more popular. All our data science training courses are available online, which means we can be flexible about dates. We can also arrange training at our main training centre in London, or at your workplace. At the moment there are no set dates for courses but you can Check dates here to see details of forthcoming events.

Tailored Training Courses

In addition to our regular data analytics training courses we can produce tailored training courses to best suit your requirements. Our tailored training courses can cover the specific topics that you need, giving you bespoke training in the areas that are most important to you.

Our Tailored Training Courses in Data Analytics for Ecology, Conservation & Environmental Science come in two main forms:

  • General Data Analytics Courses: suitable for any discipline.
  • Ecology Data Analytics Courses: aimed at Ecology, Conservation & Environmental Scientists.

Our tailored training courses could incorporate many topics, including:

  • Data management: biological records, importing and validating data.
  • Basic statistics: summary statistics, hypothesis testing using Excel and R.
  • Quantitative ecology: using Excel and R for ecological data analytics.
  • Learning R: the statistical programming language.
  • Data visualisation: graphs and charts using Excel and R.
  • Biological community analysis: multivariate analyses (ordination).
  • Ecological diversity.
  • Ecosystem information.
  • Predictive modelling and machine learning.

Our tailored training courses can be held at one of our London training centres, your workplace or online, using video conferencing software.

Training Course Prospectus

Training courses to suit your requirements

We provide training courses to suit your requirements. Our data analytics training courses are completely flexible and can be fashioned to suit your requirements. Training courses can focus on general data analytics, suitable for any discipline, using Excel or R: the statistical programming language. Alternatively, training courses can focus on data analytics in ecology, conservation biology, and environmental science.

Our data analytics training courses could include a range of topics, including:

  • Using Excel or R: the statistical programming language.
  • Data import, cleaning and validation.
  • Preparing data for use in other programs, such as Twinspan or MAVIS.
  • Summarising and aggregating data.
  • Statistical hypothesis testing.
  • Predictive modelling and machine learning.
  • Data visualisation: graphs and charts to help interpret your data.
  • Biological diversity.
  • Ecological community analysis: multivariate analysis (Ordination).

Our data analytics training courses can be held at one of our London training centres, your workplace or online using our web conferencing software.

Training Course Prospectus

 For more information, please send us an email

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