The statistical analysis of numerical information is proven to be a powerful tool, providing businesses with everyday insight into matters like corporate finance, manufacturing processes, service provision and product quality control.
However, the advent of the Internet of Things, the consequential growth in Big Data, and the ever-increasing business requirements to model and predict, mean that many of the analytical opportunities and needs of a modern, high performing company cannot be met using conventional data analysis methods alone.
More and more companies are wrestling with complex modelling and simulation problems, addressing matters like trying to optimize production systems, to maximize performance efficiency, to minimize operating costs, to combat risk, to detect fraud and to predict future behavior and outcomes.
This KC Academy training course is 100% computer-based and shows by example how to use Microsoft Excel to solve a series of complex and realistic business problems. The problems are drawn from the widest possible range of applications – from robotics to refining, from supply chain logistics to production optimization and from financial risk management to the efficient provision of healthcare. All the problems are different and all convey carefully designed learning objectives.
Delegates will learn how to code and simulate realistic problems and then how to use these simulations to understand system operation, to optimize performance, and to predict future behavior. The training course is intended for people who are experienced in conventional data analysis techniques, and who now want to become specialist in the modelling and simulation of complex business activities.
This Advanced Data Analysis Techniques training course aims to provide those involved in monitoring, managing and controlling complex business processes with the understanding and practical capabilities needed to convert data into meaningful information via a range of very powerful modelling, simulation and predictive analytical methods.
The specific objectives are as follows:
This training course on Advanced Data Analysis Techniques adopts a problem‐based learning approach, in which delegates are presented with a series of real problems drawn from the widest possible range of applications – they range from insurance to supply chain logistics, from chemistry to engineering, and from production optimization to financial risk assessment. Each problem presents and exemplifies the need for a different modelling or analytical approach.
This training course is entirely applications‐oriented, minimizing the time spent on the theory and mathematics of analysis and maximizing the time spent on the use of practical methods from within Excel, along with the understanding of how and why such methods work.
Delegates will spend almost all of their time exploring the use of modelling and simulation methods using Microsoft Excel, to develop solutions to the totally realistic problems that are presented.
Organizations which are able to make optimum decisions, and which can reliably predict future trends and behaviors, are able to enhance substantially their ability to compete on the global stage; as a result of sending their employees on this training course, organizations can expect to benefit from:
Participants will each gain extensive understanding and lots of practical experience of a wide range of the more common modelling, simulation and predictive analytical techniques, all of which will have direct relevance to a wide range of business issues; specifically delegates will acquire:
This KC Academy Advanced Data Analysis Techniques training course has been designed for professionals whose jobs involve the manipulation, representation, interpretation and/or analysis of data. This training course involves extensive modelling and analysis using Excel 2010 (or higher) and therefore delegates must not only be numerate, but must enjoy detailed working with numerical data to solve complex problems.
Full familiarity with Microsoft Excel (version 2007 or higher), and the ability to analyze data using common statistical methods, are fundamental prerequisites for attendance on this Advanced Data Analysis Techniques training course.
There are no prerequisites. Our courses are open to students of all backgrounds who are 18 years of age and older. All courses are conducted in English. Video lectures include English subtitles and the option to slow-down, pause, or replay lectures for better retention. Discussion boards are a critical component of each of our courses; therefore, we suggest students have a conversational knowledge of English when pursuing a Certificate of Completion. For any of the art writing courses, students need to be 100% proficient in written English.
You should have an up-to-date web browser such as: Chrome, Safari, Firefox, or Internet Explorer. For more detailed information, please see the guides for supported browsers and basic computer specifications. Our Online Courses can be accessed on a mobile or tablet device, although we strongly encourage you to have access to a desktop or laptop computer and reliable internet connection for certain course components. Former students have told us it is easiest to read discussion threads and complete written assignments on a laptop or desktop computer.
Registration is available on our website. Just follow these simple steps: Click the “Apply Now” button in the top right corner of your screen. Select “Online Courses.” Choose your course(s). You will be asked for basic contact information and your credit card payment. We require full payment at the time of registration and all tuition is billed in US dollars. Be sure to check with your bank or credit card company, as your financial institution may charge a foreign transaction fee.
Our classes are kept small, at no more than 30 students, to better facilitate and encourage personalized interaction with the instructor and fellow participants. Your classmates come from all over the globe and contribute their global perspectives and experience. Some are currently working within the arts while others are just beginning. All classmates share in their passion for the art world.
It is recommended that you begin your course promptly. If you do need to start the course a few days late, contact your instructor as soon as possible after the course has opened to discuss your options. Registration closes on the Friday after the course begins.
This training course is available to be conducted at your own pace & at your own time. Request for a quotation now and our training advisor will contact you shortly
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