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Strategic Business Analytics Specialization

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About Course

Strategic Business Analytics Specialization

This specialization, offered completely free of charge on Theetay, is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. It’s delivered by ESSEC Business School, one of the world’s leading business schools, and features instruction from two of Europe’s leading professors in business analytics and marketing.

This course is perfect for those with a background in statistics, R or another programming language, and familiarity with databases and data analysis techniques such as regression, classification, and clustering. You will learn to utilize statistical techniques in R to develop business intelligence insights and present them in a compelling way to enable smart and sustainable business decisions.

The specialization will cover a wide variety of analytics approaches in different industry domains, including hands-on case studies in real business contexts. You’ll engage with examples like predicting and forecasting events, statistical customer segmentation, and calculating customer scores and lifetime value. The third course and the Capstone Project are designed in partnership with Accenture, a global leader in consulting, technology services, and outsourcing. You’ll explore applications in various sectors, including media, communications, and public service.

Upon completion of this specialization, available for free on Theetay, you will earn a Specialization Certificate from ESSEC Business School.

This course is offered for free on Theetay and is available from platforms like Udemy, Udacity, Coursera, MasterClass, NearPeer, and other leading online learning providers.

Keywords: Business Analytics, Data Science, Statistics, R, Regression, Classification, Clustering, Data Analysis, Predictive Analytics, Customer Segmentation, Business Intelligence, ESSEC Business School, Accenture, Free Online Courses

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What Will You Learn?

  • Marketing Performance Measurement And Management
  • R Programming
  • Marketing Analytics
  • Presentation

Course Content

01. Foundations of strategic business analytics

  • A Message from the Professor
  • 001 001_welcome-to-the-course.en.srt
    00:00
  • 006 002_becoming-a-business-analytics-expert.mp4
    00:00
  • 009 003_why-it-is-all-about-value-not-data.mp4
    00:00
  • 012 004_how-to-leverage-data-for-value-from-data-to-insight.mp4
    00:00
  • 013 005_dataset-for-practice-quiz_instructions.html
    00:00
  • 015 006_practice-quizz-module-1_quiz.html
    00:00
  • 018 001_introduction-whats-the-point-of-finding-groups-within-data.mp4
    00:00
  • 021 002_basic-clustering-using-ad-hoc-techniques-the-example-of-product-management.mp4
    00:00
  • 024 003_identifying-groups-within-data-whats-the-intuition-behind-clustering-the-example.mp4
    00:00
  • 027 004_introduction-to-customer-segmentation.mp4
    00:00
  • 030 001_presentation-of-pauline-glikman.mp4
    00:00
  • 033 002_recital-m2-sku-example.mp4
    00:00
  • 036 003_recital-m2-hr-example.mp4
    00:00
  • 039 004_recital-m2-telecom-example.mp4
    00:00
  • 044 005_script-and-dataset-files-to-replicate-recitals_instructions.html
    00:00
  • 050 001_wrap-up-identifying-groups-within-data.mp4
    00:00
  • 057 002_why-use-business-analytics-to-understand-the-relationship-between-causes-and.mp4
    00:00
  • 060 003_understanding-what-distinguishes-two-categories.mp4
    00:00
  • 063 004_beyond-the-regression-estimates-reporting-effects-in-a-visual-way.mp4
    00:00
  • 066 001_recital-m3-credit-score-example.mp4
    00:00
  • 069 002_recital-m3-hr-example.mp4
    00:00
  • 072 003_script-and-dataset-files-to-replicate-recitals_instructions.html
    00:00
  • 078 001_wrap-up-identifying-causes-to-effects.mp4
    00:00
  • 085 002_predicting-events-sales-defaults-risks-churn-etc.mp4
    00:00
  • 088 003_using-classification-and-regression-techniques-to-forecast.mp4
    00:00
  • 091 004_predicting-when-an-event-will-happen-with-survival-analysis.mp4
    00:00
  • 094 005_introduction-to-time-series-and-seasonality.mp4
    00:00
  • 097 001_recital-m4-credit-score.mp4
    00:00
  • 100 002_recital-m4-hr-example.mp4
    00:00
  • 103 003_recital-m4-predictive-maintenance-example.mp4
    00:00
  • 106 004_recital-m4-chocolate-sales-example.mp4
    00:00
  • 114 005_script-and-dataset-files-to-replicate-recitals_instructions.html
    00:00
  • 121 001_wrap-up-forecasting-events.mp4
    00:00
  • 128 002_its-all-about-the-story.mp4
    00:00
  • 131 003_one-slide-one-idea.mp4
    00:00
  • 134 004_one-picture-is-worth-a-thousand-words.mp4
    00:00
  • 137 001_recital-m5-how-to-present-your-findings.mp4
    00:00
  • 138 002_presentation-tips_instructions.html
    00:00
  • 142 001_wrap-up-reporting-your-results.mp4
    00:00
  • 147 002_peer-review_peer_assignment_instructions.html
    00:00
  • links.txt
    00:00
  • Section Quiz

02. Foundations of marketing analytics

03. Case studies in business analytics with ACCENTURE

04. Capstone Create Value from Open Data

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MN
1 month ago
had a great experience while attending this

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