Graduate Business Analytics Certificate Program GBACP Home Who Should Participate Tuition and Fees Content and Professors Who Should Participate Accounting and … Simulation involves building a computer model that generates probabilistic outcomes based on the decisions we make and the uncertainties we face. In these situations we often resort to simulation, a methodology that combines decisions (e.g., how many service representatives to hire) and uncertainties (e.g., the demand for service). In preparation for this session, it is highly recommended that students unfamiliar with how the Internet works watch the 15-minute movie on http://www.warriorsofthe.net/. Courses are taught by expert faculty who bring industry experience to the online classroom. An innovative learning culture influences the way the world does business. Forecasting is an essential step in almost making any business plan. This session provides an introduction to the statistical methods used in decision modeling, including: (1) review of the mean, median, mode, standard deviation, normal curve, graphs and charts; (2) sampling - why sample, uses of sampling, comparison of sample survey methods on 10 dimensions, sample design and choosing random samples; (3) making estimates from samples - central limit theorem, confidence intervals for means and proportions; and (4) computing sample size for estimating means and proportions. For example, without good sales forecasts, inventory management and capacity planning can go badly wrong. Either Full-Time or Part-Time, the MSBA program prepares students for successful careers in the burgeoning field of business analytics from business analysts, data analysts, marketing analysts, financial analysts, data base and data warehouse architects to data scientists. SMU Academy is the professional training arm of Singapore Management University. Almost every company spends time retrieving data and placing it into spreadsheets.This can be a huge waste of time and often a robotic process.The module will discuss ways to automate this process with Visual Basic for Applications (VBA).A real world corporate example will show how one company retrieves data to help facilitate the management of data from four different reporting methods. In the non-technical Applied Business Analytics program, you will learn a practical framework that includes data models, decisions, and value, building confidence in using data to improve decision-making. This certificate will be in the form of a digital certificate that runs on blockchain and is tamper-proof and verifiable. A real world example will show managing data for a web site; from online ordering to Pick and Pack. Students build a diverse portfolio of projects in our coding, data, and fintech programs or complete multiple certification training’s in our cybersecurity program demonstrating their knowledge. The lab will contain a coding exercise to import data in to a spreadsheet. To address these uncertainties in a decision-making context, decision trees have proved to be a powerful graphical tool. This session explores several different methods most commonly used to forecast. Each cohort Graduate Business Analytics Certificate Program GBACP Home Who Should Participate Tuition and Fees Content and Professors Leverage the terabytes of data that bombard your organization to drive efficiency, maximize your tech-nology investment and strengthen your customer relationships. Rigorous programs within a truly customized academic experience. In just 24 weeks, you’ll journey through a challenging curriculum and gain the specialized skills needed to analyze big data and turn it … The first topic covered here is hypothesis tests; the primary decision-making tool in statistics. The Master of IT in Business (MITB) is an Information Technology programme that equips professionals with analytic & technological skills for today's ever changing world. On-Line Analytical Processing (OLAP) and Data Warehousing are decision support technologies.Their goal is to enable enterprises to gain competitive advantage by exploiting the ever-growing amount of data that is collected and stored in corporate databases and files for better and faster decision-making. This session discusses the essentials of project management, covering broadly the technical and social aspects of project execution. Once we are familiar with the basic concepts of descriptive statistics we can take on more complex tasks. 2 certificates awarded: a Certificate in Fundamentals of Data Science and a Certificate in Data Analytics Curriculum: 4 modules covering Statistics for Data Science, Programming for Data Science, Data Mining Techniques and The session also introduces specific data mining software for building predictive models without writing any code. A special emphasis is placed on how to integrate forecasting into the business planning process. A community where professors know students by name and help them create powerful networks. In working with multiple variables we build regression models. 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