Business and Data Analytics

With skills in business and data analytics being increasingly in-demand in the job market, whether you work in administration, accounting, marketing, or any job that requires you to organize and present any type of data, CPDLL has a suite of courses just for you. Developed and delivered by industry experts, the business and data analytics short courses offered by CPDLL enables you to be able to understand how to analyse data for businesses, assess business situations, support decision making and identify opportunities for creating value.

Advanced Data Analysis using R

In recent years, R has been one of the most preferred programming languages used by data scientists. R’s flexibility as a software means that it has the capabilities to perform the necessary tasks for various fields in data analytics. In fact, one such field where R is increasingly used is in the financial sector. Against this backdrop, this course is intended for those who have knowledge of and experience using R, and would like to further advance or develop their experiences with advanced statistical methods using R.

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Applied Machine Learning and Data Mining using Matlab and Python

This course in data mining is designed to equip you with the knowledge and skills needed to understand, analyse, and derive insights from vast stores of digital information assets using Matlab and Python. It will prepare you to be competent in the world of “Big Data”, and will help you to develop a good understanding of the basic concepts, principles and techniques of data mining.

Mode of Delivery: ~~Face-to-Face~~ Online

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Business Analytics

The ability to use data effectively to drive rapid, precise and profitable decisions has been a critical strategic advantage of companies such as Apple, Google and Walmart. Business and data analytics are therefore integral to modern management and graduates with business analytics skills are in increasing demand. This course introduces you to the field of business analytics. Using real-world case studies, this course will enable you to develop skills in analyzing business situations. You will also learn how to identify and evaluate opportunities in which business analytics can be used to support the decision-making process and improve performance. The triad of descriptive analytics, predictive analytics and prescriptive analytics will be covered.

Mode of Delivery: ~~Face-to-Face~~ Online

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Data Analytics using Microsoft Excel (Advanced)

This course develops expertise in the use of Microsoft Excel as an analytical tool for business decision-making. It builds on the knowledge gained in the intermediate Data Analytics using Microsoft Excel course. Advanced/expert topics such as variability and its application to risk analysis, the construction and analysis of decision trees, and the use of probability will be critical elements of the course.

Mode of Delivery: ~~Face-to-Face~~ ONLINE

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Data Analytics using Microsoft Excel (Intermediate)

Microsoft Excel is used by many businesses, but few are maximizing its analytical capabilities to support business decision-making. This course develops an intermediate level of competence in the advanced features of Microsoft Excel. On completion, you will be able to use Microsoft Excel to produce information that can support the decision-making process, as well as to automate necessary but tedious tasks required in an organizational setting, resulting in time and cost efficiencies. Topics such as the application of statistics in business and how to present data in both graphical and tabular format for immediate transfer of information to support the decision-making process will be addressed.

Mode of Delivery: ~~Face-to-Face~~ ONLINE

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Data Science for Business using R

The intelligent use of data can power businesses to new levels of competitiveness. This course provides you with the practical, analytical and technical skills to extract useful knowledge and gain insight from small and large datasets via the ‘R’ tool. The course will address predictive modelling, data scraping, sentiment analysis, and text mining. You will also explore how to generate and incorporate data from webpages, pdf documents and internet search engines such as Google Trends. In summary, the course will bridge the gap between theory and abstract statistics and real-world applications through an instructor-led, hands on approach, and provide you with the analytical and technical tools to distinguish themselves in today’s workplace.

Mode of Delivery: ~~Face-to-Face~~ Online

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Foundations in Data Analytics and Visualization

This course covers the foundations of data analytics as well as the techniques required for data-driven decision-making. It will introduce students to important concepts in data analytics across a wide range of applications using programming language including R and data analysis software including SPSS. The course will also focus on the application of data analytics techniques and how data analytics is used to create value for organisations. Moreover, delegates will learn how to transform data into key business insights using data analytics tools and methods such as statistics and visualisation techniques.

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Introduction to R for Business

R is a powerful free open source statistical computing software that has emerged as the leading programming language for statistics and data analysis. It is well established in both academia and corporations for robustness, reliability and accuracy, but is still relatively new to the Caribbean region. R allows the business to combine statistics with computer science in order to extract new insights and new knowledge from the vast amount of data generated from the digital age. This introductory course in ‘R’ opens to door to the new way of doing business. Using real cases, allows you will sit at the computer and learn how to load, merge, clean, reshape, summarize, troubleshoot and transform data into mathematical functions, and produce ‘markdown’ reports using R. In the final analysis, this course positions you to immediately increase their usefulness to the organisation, as well as to move on to more advanced courses such as Data Science Using R.

Mode of Delivery: ~~Face-to-Face~~ ONLINE

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