The Advanced Data Analysis Techniques statistical analysis of numerical information is proven to be a powerful tool, providing everyday insight into matters like corporate finance, production processes, and quality control.
However, the advent of the Internet of Things, the consequential growth in Big Data, and the ever-increasing 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 statistical methods alone.
More and more companies are wrestling with complex modeling 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.
Manipulate complex data sets to gain deeper insights and make better decisions!
This advanced analytics seminar will introduce you to predictive analytics techniques, so you can frame strategic and operational questions involving marketing, finance, and operations or other real-world business applications.
In this hands-on course, you will cover a variety of analytics tools, such as histograms, ANOVA analysis, A/B testing, Pareto analysis, clustering, box plots, scatter diagrams, partitioning, unstructured text analysis, and multivariate regression analysis. Best of all, no background in statistics or programming is required. As long as you have a basic understanding of spreadsheets, you will learn how to manipulate complex data sets so you can gain insights that are not possible with common business intelligence techniques.
This training course provides you with the Advanced Data Analysis skills to enable you to improve the planning, monitoring, and performance of your organization. This will strengthen your ability within the workplace, allowing you to understand, produce and evaluate data to support you in your role for the benefit of yourself and your organization.
Delegates will work through practical case studies.
This training seminar is intended for delegates who have already attended the Data Analysis Techniques training seminar (this is a necessary prerequisite for this training) and hence who already have a solid understanding of conventional data analysis methods.
YOU WILL LEARN HOW TO
The training seminar shows by example how to build on the method learned in the Data Analysis Techniques training seminar and to create a variety of powerful modeling, simulation, and predictive analytical methods.
The methods introduced include Bayesian models, Newtonian and genetic optimization methods, Monte Carlo simulation, Markov models, advanced What If analysis, Time Series models, Linear Programming, and more.
The training seminar uses advanced features of Microsoft Excel throughout, and it is important that all delegates are fully competent in both Excel and the statistical analysis of data.
IMPORTANT COURSE INFORMATION
Upon completing the course, participants will be awarded Microsoft Certificate in addition to the certificate they receive from Strategic Axis.
COURSE OUTLINE