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  1. Home
  2. Learning Paths

Strategic Business Analytics Learning Path

Strategic Business Analytics is a Specialization designed by Coursera. It consists of four courses and can be completed in five months .

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Description

This specialization is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. 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. 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.

We’ll also teach you how to take these analyses and effectively present them to stakeholders so your business can take action. 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. You’ll learn about applications in a wide variety of sectors, including media, communications, public service,etc. 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. 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.

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Free Learning Paths by Career Track

Bootstrap Data ScientistBootstrap Data AnalystBootstrap Business AnalystBootstrap Data EngineerBootstrap Chief Data OfficerBootstrap Data Architect

Included Courses

Coursera
ESSEC Business School
1. Foundations of strategic business analytics
Nicolas Glady

8 hours

Advanced

57,276
R Programming RStudio Classification Cluster Analysis Customer Analytics Data Analysis Data Analytics
Coursera
ESSEC Business School
2. Foundations of marketing analytics
Arnaud De Bruyn

6 hours

Advanced

37,767
R Programming RStudio SQL Big Data Customer Analytics Data Analysis Data Analytics Data Mining
Coursera
ESSEC Business School
Free
3. Case studies in business analytics with ACCENTURE
Nicholas Strayer

8 hours

23,963
Big Data Correlation Customer Analytics Data Analytics Data Science
Coursera
ESSEC Business School
Free
4. Capstone: Create Value from Open Data
Nicolas Glady

11 hours

3,298
Data Analysis Data Analytics Data Sets
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