Master business decisions with data science-learn R, modeling, and analytics to drive strategy, predict trends, and achieve a competitive edge.
Master business decisions with data science-learn R, modeling, and analytics to drive strategy, predict trends, and achieve a competitive edge.
This comprehensive specialization equips business analysts and data scientists with advanced statistical techniques for making data-driven business decisions. The program covers essential analytics approaches across various industries, featuring hands-on case studies in real business contexts. Students learn predictive modeling, customer segmentation, and lifetime value calculation, while developing skills to effectively present insights to stakeholders. The curriculum includes partnership with Accenture, providing practical industry applications. Designed for those with statistical and programming background, the specialization emphasizes both technical proficiency and business acumen.
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English
বাংলা, Tiếng Việt, پښتو, 3 more
What you'll learn
Master statistical techniques for business analytics, develop expertise in R programming for data analysis, create effective customer segmentation and scoring models, calculate and analyze customer lifetime value, apply analytics across various industry domains, present compelling insights to business stakeholders, complete real-world projects with open data, integrate analytics with business strategy.
Skills you'll gain
This course includes:
29 Hours PreRecorded video
4 courses with assignments
Access on Mobile, Tablet, Desktop
Batch access
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There are 4 courses in this program
Foundations of strategic business analytics
Course 1 · 7 Hours to complete · 5 modules
Foundations of Marketing Analytics
Course 2 · 5 Hours to complete · 5 modules
Case studies in business analytics with ACCENTURE
Course 3 · 7 Hours to complete · 3 modules
Capstone: Create Value from Open Data
Course 4 · 10 Hours to complete · 8 modules
Fee Structure
Payment options
Financial Aid
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