Foundations of strategic business analytics

$43/mo.
Course Image
  4.4
Out of 365 reviews
Go to course
or more from Coursera

Course Information

Platform iconPlatform: Coursera
Level iconDifficulty: All levels
Time icon26-40h hours of content
Speed iconStarts Jul 30
Certificate iconCertificate: Certificate (q2)
Instructor Image
Nicolas Glady

Related Courses

Business Analytics
by Udacity | $599

Using data to optimize a business is becoming more and more the norm; the business that do not are missing out. This course teaches you how to collect, organize, and analyze data using Excel, SQL, and Tableau (a great visualization tool). This Udacity course is a great start if you are just entering the data science field and are looking to pursue a career in the industry.

Predictive Analytics for Business
by Udacity | $999

Udacity has created a one of the best courses to learn predictive analytics for business. Students will use predictive analytics principles on real-world cases while becoming skilled in Alteryx (data prep and analyzation) and Tableau (data visualization).

Business Analytics Course
by Springboard | $1499

Learn how to make data-driven business decisions with this analytics course. Master the skills needed to become a business analyst.

Product Design
by Udacity | Free

This is a great course for anybody who wants to be good in Product Design. In this course, you will learn a range of Product Design's important aspects such as product validation, Google's Design Sprint, and UI/UX practices, among others. By the end of this course, you will be able to transform any idea into a product that you can build a business around.

Classification Models
by Udacity | Free

This Classification Models course teaches students how to use classification predictive models to solve non-numeric data business problems. Through this course, students will know how to create business insights that are helpful to the goals of enterprises. Students will also learn techniques how to implement their knowledge in Alteryx.

Foundations of strategic business analytics

This course is created or produced by ESSEC Business School via Coursera

Description of the course

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.

Syllabus of "Foundations of strategic business analytics"

Introduction to Strategic Business Analytics

In this module, we will introduce you to the course and instructional approach. You will learn that Strategic Business Analytics relies on four distinct skills: IT, Analytics, Business and Communication.

Finding groups within Data

In this module, you will learn how identifying groups of observations enables you to improve business efficiency. You will then learn to create those groups in a business-oriented and actionable way. We will use examples to illustrate various concepts. The assessments will also provide you with opportunities to replicate these examples.


Factors leading to events

In this module, you will learn why using rigorous statistical methods to understand the relationship between different events is crucial. We?ll cover two examples: first, using a credit scoring example, you will learn how to derive information about what makes an individual more or less likely to have a strong credit score? Then, in a second example drawn from HR Analytics, you will learn to estimate what makes an employee more or less likely to leave the company. As usual, we invite you to replicate those examples thanks to the recital and to use the assessments provided at the end of the module to strengthen your understanding of these concepts.More



Predictions and Forecasting

In this module you will learn more about the importance of forecasting the future. You will learn through examples from various sectors: first, using the previous examples of credit scoring and HR Analytics, you will learn to predict what will happen. Then, you will be introduced to predictive maintenance using survival analysis via a case discussion. Finally, we?ll discuss seasonality in the context of the first example discussed in this MOOC: using analytics for managing your supply chain and logistics better. More



Recommendation production and prioritization

So far, you?ve learnt to use Business Analytics to glean important information relevant to the success of your business. In this module, you?ll learn more about how to present your Business Analytics work to a business audience. This module is also important for your final capstone project presentation.You?ll learn that it is important to find an angle, and tell a story.Instead of presenting a list of results that are not connected to each other, you will learn to take your audience by the hand and steer it to the recommendations you want to conclude on.You?ll learn to structure your story and your slides, and master the most used visualization tips and tricks. The assessment at the end of this module will provide an opportunity for you to practice these methods and to prepare the first step of the capstone project.More




Go to course
Back to search results