Fundamentals of Machine Learning For Predictive Data Analytics (3 days)
This course has been designed to guide delegates through the most important topics in machine learning and how they should be applied to build real-world relevant predictive analytics models. All delegates will receive a copy of “Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples and Case Studies”. This course is aimed at people in a technical role who want to fully understand and use predictive analytics techniques.
Understanding Analytics for Managers (1 day)
The use of analytics is widespread in business & for those without analytics training running analytics projects & building analytics teams can be daunting. This course explains how analytics can be used in an organization & how to build an analytics team
Data-driven Business Using Statistical Analysis (2 days)
The most effective businesses make their decisions based on data and evidence, rather than unfounded gut feelings. This course covers the statistical methods that analysts need to move from simple reporting on business problems to extracting insight to solve business problems. Delegates will learn how to use modern data analytics tools to generate descriptive statistics, perform statistical testing and build statistical models. On returning to work after completing this course delegates will immediately be able to make a difference to the way that their organisations make decisions.
Beginning Data Analytics with R (3 days)
Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. The R programming language is one of the most powerful and flexible tools in the data analytics toolkit. This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualisation in R. Mastery of these techniques will allow delegates to immediately add value in their work place by extracting valuable insight from company data to allow better, data-driven decisions.
Effective Data Visualisation (2 days)
The companies using analytics most successfully understand that using sophisticated analytics approaches to unlock insights from data is only half the job. Communicating these insights to all of the different parts of an organisation is just as important as doing the actual analysis. Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data.
The Art & Craft of Advanced Analytics (3 days)
From fraud detection to customer insight, companies are building advanced analytics models to answer important questions. This course explores, in detail, the full model building process from the planning stages to model implementation. The main emphasis of the course is on the processes and techniques involved in building models taking the practical restraints of everyday business into account.
Advanced Analytics with R (3 days)
Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. The R programming language is one of the most powerful and flexible tools in the data analytics toolkit. This course teaches delegates who are already familiar with analytics techniques and at least one programming language how to effectively us the R programming language for three tasks: data manipulation and preparation, statistical analysis and advanced analytics (including predictive modelling and segmentation). Mastery of these techniques will allow delegates to immediately add value in their work place by extracting valuable insight from company data to allow better, data-driven decisions.
Putting the Data into Predictive Analytics (3 days)
So, you’ve learned about the power of analytics and advanced analytics techniques, but are you getting the most out of your data? Using examples from customer segmentation to sales forecasting, this course demystifies the techniques required to transform raw data into insight-filled data for driving your analytics solutions.