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Using classification and regression techniques to forecast, Predicting when an event will happen with survival analysis, Introduction to time series and seasonality, Recital M4 - Predictive maintenance example, Recital M5 - How to present your findings, Strategic Business Analytics Specialization, Associate professor, at ESSEC Business School, FOUNDATIONS OF STRATEGIC BUSINESS ANALYTICS, About the Strategic Business Analytics Specialization. It's an iterative and methodical exploration of data to derive insights from it—and, in turn, make smarter, more strategic decisions that are grounded in facts. In this module you will learn more about the importance of forecasting the future. Parenthetical citations are in the proper format, are properly punctuated and are used at appropriate points to document source material. Then, you will be introduced to predictive maintenance using survival analysis via a case discussion. [email protected] In this module, you will learn why using rigorous statistical methods to … However, in case you require extra-brilliance, here is what you can do. If you take a course in audit mode, you will be able to see most course materials for free. 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. We’ll also teach you how to take these analyses and effectively present them to stakeholders so your business can take action. Write your responses in detail with examples. 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? This specialization is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. Factors leading to events. Clearly written and structurally sound sentences, with no grammar, spelling and/or punctuation errors. Check with your institution to learn more. 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? Preparing future managers to reconcile personal interests with collective responsibility, giving consideration to the common good in their decision-making, and weighing economic challenges against the social costs are some of the objectives ESSEC has set for itself. For over a century, ESSEC has been developing a state-of-the-art educational program that gives the individual pride of place in its learning model, promoting the values of freedom, openness, innovation and responsibility. In terms of assignment completion, we adhere to the guidelines given by you and assign the work to the most suitable writer. We guarantee the following quality in our work to you: We use the following tools to crosscheck our assignments: Your email address will not be published. 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. Write your responses in detail with examples. Predicting events: sales, defaults, risks, churn, etc. Be sure to identify the source of your example in your write-up. As a manager at a major insurance company, Meredith asks two of her analysts to help answer two separate questions regarding a recent car insurance client. Thank Prof. Glady and his team very much. Save my name, email, and website in this browser for the next time I comment. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. Useful course to get the fundamentals of understanding a business problem right. We assign our writers based on various factors such as academic qualification, previous customer feedback, etc. Write your responses in detail with examples. You’ll earn a Specialization Certificate from one of the world’s leading business schools and learn from two of Europe’s leading professors in business analytics and marketing. In this module, we will introduce you to the course and instructional approach. Your email address will not be published. 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. Interpreting and presenting the results of data analysis is a highly regarded skill in today’s world. In this module, you will learn how identifying groups of observations enables you to improve business efficiency. 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. No wordy, vague or poorly constructed sentences. So far, you’ve learnt to use Business Analytics to glean important information relevant to the success of your business. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Coming from a stats/math background, I found it very interesting to see applications of what I had learnt in school! Explain why the ability to reason is important when assessing data-driven conclusions such as this one. Yes, Coursera provides financial aid to learners who cannot afford the fee. In this module, you’ll learn more about how to present your Business Analytics work to a business audience. If you don't see the audit option: What will I get if I subscribe to this Specialization? All papers are properly referenced. This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. 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 engage a number of strategies in order to guarantee top-level assignments. Our team of editors revises the assignments, checking them to ensure they comply with the standards of academic writings. 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. Foundations Of Business Analytics. When will I have access to the lectures and assignments? Proper page numbering, heading, spacing and margins. Additionally, editing may entail refining the language, adding more reference material, and making sure the formatting part is properly done. 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. Published by admin at September 9, 2020. The course may not offer an audit option. APA, MLA, HARVARD, CHICAGO/TURABIAN). For example, it may be suited to experienced statisticians, analysts, engineers who want to move more into a business role. Assignments with proper syntax, that demonstrates mastery of the subject, and with clear organization flow. First, select a top writer who is proficient in a certain discipline. Statistical basics is also important to grasp the work. Sociocultural Theory Essay September 9, 2020. You will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering. The third course and the Capstone Project are designed in partnership with Accenture, one of the world’s best-known consulting, technology services, and outsourcing companies. Its ultimate goal? With this course, you’ll have a first overview on Strategic Business Analytics topics. Learn more. Strict adherence to requested citation styles (i.e. We’ll cover many different data analytics techniques, each time explaining how to be relevant for your business. To meet your needs that you are approved applied to different types of issues you’ll learn more about to! 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