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Foundations of strategic business analytics

Strategic Business Analytics,

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.

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Rating 4.1★ based on 109 ratings
Length 5 weeks
Effort 4 weeks of study, 2-3 hours/week
Starts Jun 26 (45 weeks ago)
Cost $79
From ESSEC Business School via Coursera
Instructor Nicolas Glady
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Science Data Analysis Business Business Essentials

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What people are saying

foundations of strategic business

Foundations of Strategic Business Analytics is the first course in the “Strategic Business Analytics Specialization” offered by ESSEC business school on Coursera.

Foundations of Strategic Business Analytics is the first course in the “Strategic Business Analytics Specialization” offered by ESSEC business school on Coursera.

I give Foundations of Strategic Business Analytics 3 out of 5 stars: Okay.

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business analytics

There's just enough technical information provided to do the analyses, so you should come in with at least some background in R, but what you get is a very nice conceptual and practical understanding of business analytics.

It really added to the business analytics approach I was looking for.

THis allow you to become an strategic business analytics consultant Pathetic description of requirements.

Excelent course!, but it insn't for beginners, you already need some previous skills on R. faltu not good at all Great course to gain VERY valuable knowledge in business analytics.

All in all, a highly recommendable course for anyone with data science skills willing to apply them in the field of business analytics.

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contains nothing but

Just like the other reviewer here said, this course contains nothing but commercial videos for Accenture!

It contains nothing but sales presentations of accenture, telling you how great accenture is.

data science

This is a really good course for someone who is looking for a managerial perspective of data science.

If you do not know anything about R, it is suggestible to take basic R language course before enrolling in this one.I myself was a newbie in data field, but I took several courses of "Data Science" by John Hopkins University before starting this one.

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offered by

It's offered by the world renowned ESSEC school of business and Prof.Glady does a great job.

programming language

The course uses the R programming language for analysis; basic familiarity with R is assumed.

Fantastic examples of applied data analysis Really nice Interesting and industry-insightful curriculum, contains some detail technicality like use of R programming language but provides hands-on video guidance to help student catch on the technicality.

data analysis

The 4-week course covers data analysis topics including clustering, exploring relationships between variables, forecasting and communicating results.

Each week consists of two main content sections: a lecture section that introduces concepts and data analysis techniques and then a recital section that teaches you how to use the methods discussed in lecture in R. The lecture videos themselves are polished with nice text graphics.

technical aspect

Data science is fashionable these days and every MOOC that is available focuses on the technical aspect while this one focuses on applying it to business decisions.

Very relevant courseTeaches the interpretations of advanced analytic techniques - has a nice balance between the communications and the hard technical aspect.

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Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Data Analytics (Statistics) $47k

Advanced Analytics Data Specialist $60k

Data Analytics Instructor $70k

IT Data Analytics Analyst $74k

Big Data Analytics Developer - IoT Analytics $80k

Analyst - Data & Analytics $89k

Data Analytics Developer $99k

Analytics Data Architect $106k

Data Scientist, Risk Analytics $109k

Associate Senior Data Analytics $122k

Head of Data Analytics $129k

Data Scientist (Data Analytics group) $138k

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Rating 4.1★ based on 109 ratings
Length 5 weeks
Effort 4 weeks of study, 2-3 hours/week
Starts Jun 26 (45 weeks ago)
Cost $79
From ESSEC Business School via Coursera
Instructor Nicolas Glady
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Science Data Analysis Business Business Essentials

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