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Foundations of strategic business analytics

Approx. 8 hours to complete

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Course Summary

This course focuses on strategic business analytics and how it can be used to drive business decisions. It covers topics such as data visualization, statistical analysis, and predictive modeling.

Key Learning Points

Learn how to use data to make strategic business decisions
Develop skills in data visualization, statistical analysis, and predictive modeling
Understand how to apply strategic business analytics in various industries

Job Positions & Salaries of people who have taken this course might have

- USA: $70,000 - $100,000
- India: ₹500,000 - ₹1,500,000
- Spain: €25,000 - €45,000
- USA: $70,000 - $100,000
- India: ₹500,000 - ₹1,500,000
- Spain: €25,000 - €45,000
- USA: $60,000 - $90,000
- India: ₹400,000 - ₹1,200,000
- Spain: €20,000 - €35,000
- USA: $70,000 - $100,000
- India: ₹500,000 - ₹1,500,000
- Spain: €25,000 - €45,000
- USA: $60,000 - $90,000
- India: ₹400,000 - ₹1,200,000
- Spain: €20,000 - €35,000
- USA: $50,000 - $80,000
- India: ₹350,000 - ₹1,000,000
- Spain: €18,000 - €30,000

Learning Outcomes

Develop skills in using data to drive business decisions
Understand how to apply strategic business analytics in various industries
Create visualizations and reports to communicate data insights

Prerequisites or good to have knowledge before taking this course

Basic understanding of statistics and data analysis
Familiarity with Excel and/or other data analysis tools

Course Difficulty Level

Intermediate

Course Format

Online self-paced course
Video lectures with quizzes and assignments

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Data Analysis and Presentation Skills: the PwC Approach
Data Science Essentials

Related Education Paths

Notable People in This Field

Nate Silver
Stephanie D. H. Evergreen

Related Books

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 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.

Outline

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
Dataset for practice quiz
Practice Quizz Module 1

Finding groups within Data
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
Presentation of Pauline Glikman
Recital M2 - SKU example
Recital M2 - HR example
Recital M2 - Telecom example
Wrap-up: identifying groups within data
Script and dataset files to replicate recitals
Quiz - Module 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
Script and dataset files to replicate recitals
Quiz - module 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
Script and dataset files to replicate recitals
Quiz Module 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
Presentation Tips
Datasets for Peer Review Assignment

Summary of User Reviews

Learn strategic business analytics with Coursera. This course has received positive reviews from users. Many users have appreciated the practical approach to the course material.

Key Aspect Users Liked About This Course

The course material is presented in a practical and applicable way.

Pros from User Reviews

The course material is well-structured and easy to follow.
The videos and lectures are engaging and informative.
The assignments and quizzes are challenging but manageable.
The instructor is knowledgeable and responsive to questions.
The course provides useful insights and tools for analyzing business data.

Cons from User Reviews

Some users have found the course material to be too basic.
The course requires a significant time commitment.
The course may not be suitable for those without a background in statistics or data analysis.
Some of the examples used in the course may not be relevant to all industries.
The course does not provide hands-on experience with analytics software.

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