foundations of business analytics

This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. This course is part of the Strategic Business Analytics Specialization. More questions? Interpreting and presenting the results of data analysis is a highly regarded skill in today’s world. If you only want to read and view the course content, you can audit the course for free. However, in case you require extra-brilliance, here is what you can do. We'll also present you with different data analytics tools to be applied to different types of issues. Moreover, given that the past is not a perfect predictor of the future, it follows that information contained in the available data is an imperfect predictor of future outcomes. We’ll cover two examples: first, using a credit scoring example, you will learn how to derive information about what makes an individual more or less likely to have a strong credit score? Business analytics encompasses a set of tools, technologies, processes, and best practices that are required to derive knowledge from data. She asks the first analyst, Darryl, to predict the likelihood that the client will be in an accident in the next five years using demographic characteristics (e.g., the client’s age, education, etc.). Write your responses in detail with examples. You will learn through examples from various sectors: first, using the previous examples of credit scoring and HR Analytics, you will learn to predict what will happen. A Foundation for Business Analytics Success. This option lets you see all course materials, submit required assessments, and get a final grade. We recommend that you have some background in statistics, R or another programming language, and familiarity with databases and data analysis techniques such as regression, classification, and clustering.We’ll cover a wide variety of analytics approaches in different industry domains. Useful course to get the fundamentals of understanding a business problem right. Predicting events: sales, defaults, risks, churn, etc. Interesting and industry-insightful curriculum, contains some detail technicality like use of R programming language but provides hands-on video guidance to help student catch on the technicality. Required fields are marked *. Download paper from your email or personal account. Uncategorized. In this module, you will learn why using rigorous statistical methods to … Factors leading to events. No wordy, vague or poorly constructed sentences. Just from $10/Page. Published by admin at September 9, 2020. You’ll learn about applications in a wide variety of sectors, including media, communications, public service,etc. Write your responses in detail with examples. In this module you will learn more about the importance of forecasting the future. If you take a course in audit mode, you will be able to see most course materials for free. Coming from a stats/math background, I found it very interesting to see applications of what I had learnt in school! You’ll engage in hands-on case studies in real business contexts: examples include predicting and forecasting events, statistical customer segmentation, and calculating customer scores and lifetime value. In the knowledge economy “it is all about data,” to use a widely circulated expression. Which analyst is making an active prediction? Our Online MS in Business Analytics program is designed around four content pillars that we have identified as essential to success in the field—business acumen, math modeling, computing technologies and communicating with impact. Position Paper: The Utility of Data – Draft. Be sure to identify the source of your example in your posting. That said, while the volume and variety of data readily available to business organizations is nothing short of overwhelming, not all aspects of business decision-making can benefit equally well from the available data. For example, it may be suited to experienced statisticians, analysts, engineers who want to move more into a business role. You will then learn to create those groups in a business-oriented and actionable way. First and foremost, we provide high-quality work. Start instantly and learn at your own schedule. By the end of this MOOC, you should be able to approach a business issue using Analytics by (1) qualifying the issue at hand in quantitative terms, (2) conducting relevant data analyses, and (3) presenting your conclusions and recommendations in a business-oriented, actionable and efficient way. The assessments will also provide you with opportunities to replicate these examples. and to use the assessments provided at the end of the module to strengthen your understanding of these concepts. You can now contact a live agent via Whatsapp. First Assignment. We will use examples to illustrate various concepts. Properly cited scholarly sources from assigned or outside reading and research. In this module, you will learn how identifying groups of observations enables you to improve business efficiency. Introduction: what’s the point of finding groups within data? In terms of assignment completion, we adhere to the guidelines given by you and assign the work to the most suitable writer. Fundamentals of Business Analytics Data analytics is an emerging interdisciplinary area of machine learning, data mining, predictive analytics, text mining, forecasting and optimization, and statistics. Suppose that separate analyses have convincingly shown younger customers are less price sensitive with regard to the product being sold. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. With this course, you’ll have a first overview on Strategic Business Analytics topics. The course may offer 'Full Course, No Certificate' instead. Our team of editors revises the assignments, checking them to ensure they comply with the standards of academic writings. Proper page numbering, heading, spacing and margins. support@gradepanda.com +1 817 953 0426. Reset deadlines in accordance to your schedule. Then, in a second example drawn from HR Analytics, you will learn to estimate what makes an employee more or less likely to leave the company. We’ll also teach you how to take these analyses and effectively present them to stakeholders so your business can take action. However, it contains a number of recitals and R Studio tutorials which will consolidate your competences, enable you to play more freely with data and explore new features and statistical functions in R. The course may not offer an audit option. The editors may also enhance papers completed by yourself in order to meet your needs. Sociocultural Theory Essay September 9, 2020. And I learned it in well organized structure of knowledge. APA, MLA, HARVARD, CHICAGO/TURABIAN). All papers are properly referenced. Good foundations course, some basic working knowledge of R is required so i would recommend that you are able to use the software. By the end of this specialization, you’ll be able to use statistical techniques in R to develop business intelligence insights, and present them in a compelling way to enable smart and sustainable business decisions. Foundations Of Business Analytics; Linear Development in Learning Approaches September 9, 2020. Write your responses in detail with examples. We’ll discuss a wide variety of applications of Business Analytics. Your task is to identify and detail two (2) distinct organizational decision-making scenarios: One in which data can be heavily relied on for making decisions, and the other in which data is considerably less helpful.Write your response in detail with examples using APA format (latest edition). By doing so, we’ll help you develop four sets of skills needed to leverage value from data: Analytics, IT, Business and Communication. How to leverage data for value - from data to insight, Basic clustering using ad-hoc techniques: the example of product management, Identifying groups within data: what's the intuition behind clustering?

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