This Business Analytics Specialization introduces big data analytics to business professionals, regardless of prior analytics experience. Gain data literacy and an analytic mindset to drive strategic decisions. The program encompasses customer analytics, operations analytics, people analytics, accounting analytics, and a Business Analytics Capstone Project.
Throughout the courses, you'll explore topics such as customer data collection, demand uncertainty modeling, people analytics for talent management, and the interaction between financial and non-financial metrics for forecasting and strategy. The Business Analytics Capstone Project provides hands-on experience in applying data-driven decision-making to real business challenges faced by global technology companies.
Certificate Available ✔
Get Started / More InfoThis Specialization includes modules on Customer Analytics, Operations Analytics, People Analytics, Accounting Analytics, and a Business Analytics Capstone Project, providing comprehensive coverage of data-driven decision-making and business strategies.
Data about browsing and buying patterns are harnessed to inform business decisions. Explore the methods and tools used to predict and influence customer behavior. Gain insights from real-world practices at top firms like Amazon, Google, and Starbucks.
Learn to transform data into better decisions, matching supply with demand in various business settings. Understand how to model future demand uncertainties, predict outcomes, and make informed decisions in the face of risk using available methods and software.
Discover a data-driven approach to managing people at work. Explore techniques for recruiting and retaining great talent, and understand how data and sophisticated analysis inform decisions related to leadership, hiring, compensation, and collaboration.
Explore how financial and non-financial metrics are linked to financial performance. Learn how accounting data provides insight into areas such as consumer behavior predictions, corporate strategy, risk management, and optimization.
Apply data-driven decision-making to real business challenges faced by global technology companies like Yahoo, Google, and Facebook. Gain experience in evaluating and creating data-driven decisions and learn to optimize data for key insights and analysis.
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