Data Science and Analytics Training with New Horizons Ireland

Trends-2018

For an organisation to become really analytics-driven a philosophy of data-driven decision-making must be ingrained at every level. In order for this to happen, analytics training must be provided at every level.

New Horizons Ireland has teamed up with the Analytics Store to provide focused training courses in all aspects of analytics from the strategic managerial level, to advanced implementation techniques. Places can be taken on our regular scheduled courses or bespoke courses can be delivered in-house, and tailored to the very specific needs of your organisation. 

Course List

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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Includes these courses:

  • Intro to R for Data Science
  • Intro to Python
  • Data Science Essentials
  • Principles of Machine Learning
  • 20774 Perform Cloud Data Science with Azure Machine Learning (5-Day Course)

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Includes these courses:

  • Data Science Orientation
  • 20761 Querying Data with Transact SQL (5-Day Course)
  • Analyzing Data with Power BI
  • Introduction to Data Analysis Using Excel
  • Analyzing Data and Visualizing Data with Excel
  • Essential Statistics for Data Analysis using Excel

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Includes these courses:

  • Programming with R for Data Science
  • Programming with Python for Data Science
  • 20775 Perform Data Engineering on Microsoft Azure HDInsight (5-Day Course)
  • Applied Machine Learning Scenarios
  • Developing Intelligent Applications
  • Implementing Predictive Analytics with Spark in Azure HDInsight

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