Foundations of strategic business analytics

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Foundations of strategic business analytics

Course Details

Cost

FREE,
Add a Verified Certificate for $79

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Coursera online courses
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with yo...
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with your coursework. Coursera also partners with the US State Department to create “learning hubs” around the world. Students can get internet access, take courses, and participate in weekly in-person study groups to make learning even more collaborative. Begin your journey into the mysteries of the human brain by taking courses in neuroscience. Learn how to navigate the data infrastructures that multinational corporations use when you discover the world of data analysis. Follow one of Coursera’s “Skill Tracks”. Or try any one of its more than 560 available courses to help you achieve your academic and professional goals.

Provider Subject Specialization
Humanities
Sciences & Technology
4691 reviews

Course Description

Who is this course for? This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. For example, it may be suited to experienced statisticians, analysts, engineers who want to move more into a business role. 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. 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. With this course, you’ll have a first overview on Strategic Business Analytics topics. We’ll discuss a wide variety of applications of Business Analytics. From Marketing to Supply Chai... Who is this course for? This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. For example, it may be suited to experienced statisticians, analysts, engineers who want to move more into a business role. 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. 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. With this course, you’ll have a first overview on Strategic Business Analytics topics. We’ll discuss a wide variety of applications of Business Analytics. From Marketing to Supply Chain or Credit Scoring and HR Analytics, etc. We’ll cover many different data analytics techniques, each time explaining how to be relevant for your business. We’ll pay special attention to how you can produce convincing, actionable, and efficient insights. We'll also present you with different data analytics tools to be applied to different types of issues. By doing so, we’ll help you develop four sets of skills needed to leverage value from data: Analytics, IT, Business and Communication. 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. Prerequisites : 1/ Be able to use R or to program 2/ To know the fundamentals of databases, data analysis (regression, classification, clustering) We give credit to Pauline Glikman, Albane Gaubert, Elias Abou Khalil-Lanvin (Students at ESSEC BUSINESS SCHOOL) for their contribution to this course design.
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Reviews 6/10 stars
1 Review for Foundations of strategic business analytics

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Greg Hamel profile image
Greg Hamel profile image
6/10 stars
  • 116 reviews
  • 107 completed
3 years, 4 months ago
Foundations of Strategic Business Analytics is the first course in the “Strategic Business Analytics Specialization” offered by ESSEC business school on Coursera. The 4-week course covers data analysis topics including clustering, exploring relationships between variables, forecasting and communicating results. All discussion is geared toward a business context, so the focus is on producing clear, actionable insight instead of looking at low-level details. The course uses the R programming language for analysis; basic familiarity with R is assumed. Grading is based on 3 quizzes and a peer-graded assignment. Each week consists of two main content sections: a lecture section that introduces concepts and data analysis techniques and then a recital section that teaches you how to use the methods discussed in lecture in R. The lecture videos themselves are polished with nice text graphics. The lecturer’s English takes a little time to ... Foundations of Strategic Business Analytics is the first course in the “Strategic Business Analytics Specialization” offered by ESSEC business school on Coursera. The 4-week course covers data analysis topics including clustering, exploring relationships between variables, forecasting and communicating results. All discussion is geared toward a business context, so the focus is on producing clear, actionable insight instead of looking at low-level details. The course uses the R programming language for analysis; basic familiarity with R is assumed. Grading is based on 3 quizzes and a peer-graded assignment. Each week consists of two main content sections: a lecture section that introduces concepts and data analysis techniques and then a recital section that teaches you how to use the methods discussed in lecture in R. The lecture videos themselves are polished with nice text graphics. The lecturer’s English takes a little time to get used to, but he speaks clearly and he does a good job framing each topic in the context of business. The programming recitals are easy to follow and let you get some hands-on experience with lecture topics right away. Foundations of Strategic Business Analytics is a nice introduction to thinking about data analytics in a business setting, but it is too short. Follow-up courses will hopefully let you dig your teeth deeper into the material. Also note that the specialization is listed as “Advanced”, but this course is not very technical and only really requires basic R knowledge as a prerequisite. I give Foundations of Strategic Business Analytics 3 out of 5 stars: Okay.
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