- Level Foundation
- Duration 8 hours
- Course by ESSEC Business School
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Offered by
About
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.Modules
Introduction to Strategic Business Analytics
1
Assignment
- Practice Quizz Module 1
4
Videos
- Welcome to the course
- Becoming a Business Analytics expert
- Why? It is all about value not data
- How to leverage data for value - from data to insight
1
Readings
- Dataset for practice quiz
Finding groups within data: lectures
4
Videos
- Introduction: what’s the point of finding groups within data?
- Basic clustering using ad-hoc techniques: the example of product management
- Identifying groups within data: what's the intuition behind clustering? The example of HR Analytics
- Introduction to Customer Segmentation
Finding groups within data: recitals
4
Videos
- Presentation of Pauline Glikman
- Recital M2 - SKU example
- Recital M2 - HR example
- Recital M2 - Telecom example
1
Readings
- Script and dataset files to replicate recitals
Wrap-up: identifying groups within data
1
Videos
- Wrap-up: identifying groups within data
Graded assessments 1 - 20% of final grade
1
Assignment
- Quiz - Module 2
Factors leading to events: lectures
4
Videos
- Understanding causes and consequences: introduction
- Why use Business Analytics to understand the relationship between causes and consequences
- Understanding what distinguishes two categories
- Beyond the regression estimates: reporting effects in a visual way
Factors leading to events: recitals
2
Videos
- Recital M3 - Credit score example
- Recital M3 - HR example
1
Readings
- Script and dataset files to replicate recitals
Wrap-up: identifying causes to effects
1
Videos
- Wrap-up: identifying causes to effects
Graded assessment 2 - 20% of final grade
1
Assignment
- Quiz - module 3
Predictions and Forecasting: lectures
5
Videos
- Predictions & Forecasting: introduction
- Predicting events: sales, defaults, risks, churn, etc.
- Using classification and regression techniques to forecast
- Predicting when an event will happen with survival analysis
- Introduction to time series and seasonality
Predictions and Forecasting: recitals
4
Videos
- Recital M4 - Credit Score
- Recital M4 - HR example
- Recital M4 - Predictive maintenance example
- Recital M4 - Chocolate Sales example
1
Readings
- Script and dataset files to replicate recitals
Wrap-up: forecasting events
1
Videos
- Wrap-up: forecasting events
Graded Assessment 3 - 20% of final grade
1
Assignment
- Quiz Module 4
Recommendation production and prioritization: lectures
4
Videos
- Reporting your results: introduction
- It's all about the story
- One slide / One idea
- One picture is worth a thousand words
Recommendation production and prioritization: recital
1
Videos
- Recital M5 - How to present your findings
1
Readings
- Presentation Tips
Wrap-up: reporting your results
1
Videos
- Wrap-up: reporting your results
Graded Assessment 4 - 40% of final grade
1
Peer Review
- Peer Review
1
Readings
- Datasets for Peer Review Assignment
Auto Summary
"Foundations of Strategic Business Analytics," offered by Coursera and taught by experts from ESSEC Business School, is designed for students, business analysts, and data scientists eager to apply statistical techniques in business. Covering topics from Marketing to HR Analytics, it requires knowledge of R and data analysis fundamentals. This comprehensive 480-minute course enhances skills in Analytics, IT, Business, and Communication, providing actionable insights and tools for various business issues. Ideal for those seeking to transition into business roles, it offers a rewarding learning experience. Subscription: Starter.

Nicolas Glady