Data Science Training Course Prospectus

Our data science course prospectus will give you an overview of the training courses we offer in the fields of data science, data analysis, data visualisation, Microsoft Excel, and R: the statistical programming language. Our data science training courses are aimed at beginners as well as more advanced learners.

In the data science training course prospectus you will see the range of topics covered in our training courses. The data science training course prospectus will show you the elements of each training course so you can choose the training courses that are best for you. There are two main kinds of course:

• Excel based courses – The Excel based training courses are designed to be a basic introduction to looking at data and beginning to think about data analysis and the general topic of data science.
• R based courses – The R based training courses are aimed directly at use of the statistical programming language R. R is an Open Source programming language that is widely used for data analysis and data visualisation.

The Data Science Training Course Prospectus will help you choose the most appropriate training courses for your needs.

The following table shows the basic data science training courses currently available. Click the Course Code to jump to a more detailed description for each course.

The following table shows the R training courses currently available. Click the Course Code to jump to a more detailed description for each course.

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 and prices.

Since COVID-19 online courses have been more popular. All our data 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.

Course pricing is £330 per delegate per day for online courses and £380 for face-to-face at our London HQ. For onsite courses prices are £330 plus travel expenses. There are discounts for multi-delegate bookings contact us for details.

Course Code: DS101

Arrange and manage your data using Microsoft Excel spreadsheet software to help you get the most from your data. In the 1-day Making Sense of Data Course you’ll learn some of the core skills to help you become a data scientist. The Making Sense of Data Course is broadly split into 2 parts:

Understanding Data

In this section of the Making Sense of Data course you’ll learn how to arrange and manage your data to best effect. Key topics include:

• Data Layout
  • Data tools (sort, filter)
• Data Tables
  • Managing data better
• Pivot Tables
  • Pivot Charts

Making Sense of Data

In this section of the Making Sense of Data course you’ll learn how to summarise your data to help you understand and simplify your data. Key topics include:

• Averages
  • Mean
  • Median
• Data distribution
  • Normal distribution
  • Histograms
• Data dispersion
  • Standard deviation
  • Confidence intervals
  • Inter-Quartile Range

Who needs this course?

This course is for beginners who want to boost their skills in data science, that is data management and data science. No assumed knowledge is needed, although it is assumed that you have access to Microsoft Excel spreadsheet software.

Course Code: DS102

Make decisions about your data with statistical hypothesis tests using Microsoft Excel spreadsheet software. In the 1-day Basic Hypothesis Testing course you will learn about the basic hypothesis tests that underpin all analytical methods. The Basic Hypothesis Testing course covers a range of topics, including:

• Setting up a hypothesis and null hypothesis
• Choosing the correct test to use
• Differences tests (1-sample, 2-sample independent, and paired tests):
  • T-test for normally distributed data
  • U-test for non-parametric data (including how to rank data)
• Correlation:
  • Pearson Product Moment (parametric)
  • Spearman Rank Correlation (non-parametric)
• Association
  • Chi Squared test of association
  • Goodness of Fit

During the Basic Hypothesis Testing course you will learn when to use each test and how to carry out the analyses using Excel. In the Basic Hypothesis Testing course you will also learn how to report and interpret the results.

Who needs this course?

This course is for beginners who want to boost their skills in data science. This course is for those that need to undertake data analysis and interpret the results. No assumed knowledge is needed, although it is assumed that you have access to Microsoft Excel spreadsheet software.

Course Code: DS103

Create professional looking graphs and visualise your data using Microsoft Excel. In the 1-day Data Visualisation using Excel course you will learn how to use the graphical capabilities of Microsoft Excel spreadsheet software to produce data visualisations that help you and others understand your data and results most easily. The Data Visualisation using Excel course covers a range of topics, including:

• Types of Chart
• Different charts for different purposes
  • Choosing the right graph
• Elements of a chart
• Using Excel
• Bar & Column charts
  • Histograms and tally plots
  • Error Bars
• Scatter Plots
  • Trendlines
• Line plots
• Sparklines
• Pie Charts
• Box-whisker plots

Who needs this course?

This course is for beginners who want to boost their skills in data science. This course is for those that need to present their data in an effective manner. No assumed knowledge is needed, although it is assumed that you have access to Microsoft Excel spreadsheet software.

Course Code: DR101

The Beginning R training course will give you a foundation at using R: the statistical programming language. In this 1-day Beginning R course you will learn how to use R for many kinds of data analysis and visualisation. You do not have to be a programmer to use R; in the Beginning R training course you will learn the skills you need to take the first steps in Data Science.

Key topics include:

• The R help system
• Basic maths
• Handling and managing data:
  • Import
  • Export
  • Rearranging data
  • Subsets
  • Data types
• Summarising data
  • Averages
  • Tabulation
• Visualising data
  • Histograms
  • Bar charts
  • Box-whisker plots
  • Scatter plots
  • Exporting graphics

Who needs this course?

This course is for anyone who needs to carry out data analysis or data visualisation, regardless of background or field of study.

Course Code: DR103

The Ecological Data Analysis using R training course is designed to be a foundation in data science, statistical hypothesis testing, and in use of the R statistical programming language. This 3-day training course Ecological Data Analysis using R is a complete primer in the use of R as well as basic data analysis. The course is biased towards ecology and environmental science, and topics include analytical methods specific to ecology (e.g. diversity, and ordination).

This Ecological Data Course covers a range of topics, including:

• Introduction to R.
  • Importing data.
  • Working with data objects.
  • Summary statistics.
• Basic Hypothesis testing.
  • Tests for differences.
  • Tests for correlation.
  • Tests of association.
• Data visualisation.
  • Basic chart types.
  • Adding to charts (text, titles, legends)
• Regression and ANOVA.
  • ANOVA and post-hoc testing.
  • Linear regression modelling.
• Community analyses.
  • Diversity analysis.
  • Hierarchical cluster analysis.
  • Ordination (e.g. PCoA, NMDS).

Who needs this course?

This course is for ecology and environmental science students who need to learn to use R for data analysis and visualisation of ecological data.

Course Code: DR201

The Data Mining using R training course will give you the skills you need to explore data using R: the statistical programming language. This 2-day R training 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.

The Data Mining using R course covers a range of topics including:

• Importing data
• Managing data:
  • Subsetting data
  • Summarising data
  • Aggregating data
  • Tabulating data
• Visualising data:
  • Box-whisker plots
  • Bar charts
  • Strip charts
  • Histograms
  • Scatter plots
  • Exporting graphics
• Unsupervised Machine Learning
  • Hierarchical clustering
  • K-means analysis
  • Ordination (PCS, PCO, NMDS)
• Supervised Machine Learning
  • Linear modelling
  • Model building
  • Model prediction

Who needs this course?

This course is for data scientists who need to explore data and make decisions based on their data.

Course Code: DR202

The Data Visualisation using R training course will help you get the most out of the graphical capabilities of R: the statistical programming language. In this 2-day training course you will learn how to produce a range of professional-looking graphs. You will learn the skills you need to produce good graphics that will make your data and results more easily understandable.

The Data Visualisation using R training course covers a range of topics, including:

• Graphs for data distribution:
  • Histogram.
  • QQ plot.
• Graphs exploring differences:
  • Bar chart.
  • Box-whisker plot.
  • Strip charts.
• Graphs exploring relationships between variables:
  • Scatter plots.
  • Best-fit lines.
• Graphs exploring compositional data:
  • Cleveland Dot charts.
  • Mosaic plots.
• Multivariate plots:
  • Scatter plot matrix.
  • Conditioning plots.
  • Lattice graphics.
• Adding to existing plots:
  • Titles.
  • Legends.
  • Marginal text.
  • Math symbols.
  • Bold, italic etc.
  • Lines.
• Using colour in your graphics.
• Altering graphical parameters.
• Split screen graphics.
• Exporting graphics.

Who needs this course?

This course is for anyone who needs to present their data and results in a professional manner.

Course Code: DR212

The Data Visualisation using ggplot2 training course is an introduction to the popular R package ggplot2. In this 1-day training course you will learn the basics of data visualisation using the ggplot2 system. R has powerful and flexible graphical capabilities, which are enhanced by the popular R package ggplot2.

Key topics include:

• Introduction to ggplot2
• Graphics for distribution
  • Histograms
  • Dot plots
  • Density plots
• Graphics for differences
  • Bar and column charts
  • Box-whisker plots
  • Violin plots
• Scatter plots
  • Regression lines
• Line graphs
• Line segments
• Error bars
• Labels
• Coordinate systems
• Position adjustment
• Facets
• Legends
• Themes
• Exporting graphics

Who needs this course?

This course is for R users who needs to present their data and results in a professional manner.