Foundations of strategic business analytics
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Foundations of strategic business analytics at Coursera Overview
Duration | 8 hours |
Start from | Start Now |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Go to Website  |
Credential | Certificate |
Foundations of strategic business analytics at Coursera Highlights
- Offered By ESSEC Business School
- inlcudes peer graded assignments, exercises and quizzes
- Learn from expert professor of ESSEC Business School
- 56% got a tangible career benefit from this course
Foundations of strategic business analytics at Coursera Course details
- 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.
- 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.
Foundations of strategic business analytics at Coursera Curriculum
WEEK-1-Introduction to Strategic Business Analytics
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
Finding groups within Data
WEEK-2-Factors leading to events
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
Recital M3 - Credit score example
Recital M3 - HR example
Wrap-up: identifying causes to effects
WEEK-3-Predictions and Forecasting
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
Recital M4 - Credit Score
Recital M4 - HR example
Recital M4 - Predictive maintenance example
Recital M4 - Chocolate Sales example
Wrap-up: forecasting events
WEEK-4-Recommendation production and prioritization
Reporting your results: introduction
It's all about the story
One slide / One idea
One picture is worth a thousand words
Recital M5 - How to present your findings
Wrap-up: reporting your results
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