What will you learn in Business Analytics Specialization Course
- Understand how data informs business decision-making
- Master descriptive, predictive, and prescriptive analytics
- Learn how to analyze data using Excel, R, and Tableau
- Apply analytics across operations, marketing, HR, and finance functions
Program Overview
Course 1: Customer Analytics
⏳ 4 weeks
Topics: Customer lifetime value, segmentation, targeting
Hands-on: Calculate customer value using real-world datasets
Course 2: Operations Analytics
⏳ 4 weeks
Topics: Queueing theory, inventory management, forecasting
Hands-on: Apply data tools to optimize operational efficiency
Course 3: People Analytics
⏳ 4 weeks
Topics: Hiring metrics, employee retention, performance management
Hands-on: Use analytics to solve HR-related business problems
Course 4: Accounting Analytics
⏳ 4 weeks
Topics: Financial ratios, fraud detection, forecasting earnings
Hands-on: Interpret financial statement data to make business recommendations
Course 5: Business Analytics Capstone Project
⏳ 4 weeks
Topics: Apply all skills learned to a real-world business challenge
Hands-on: Deliver a data-driven solution to a simulated client problem
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Job Outlook
Business analysts and data-driven decision-makers are in high demand
Roles include data analyst, marketing analyst, operations analyst, HR analyst
Average salary range: $65K to $100K depending on experience and industry
Strong foundation for transitioning into data science or MBA programs
Specification: Business Analytics Specialization
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FAQs
- No prior analytics experience is required.
- Basic coding knowledge (especially R) is helpful but not mandatory.
- Focuses on practical business applications of analytics.
- Suitable for professionals from finance, HR, marketing, or operations.
- Prepares learners for hands-on data-driven decision-making.
- Teaches Excel for descriptive analytics.
- Covers R for statistical and predictive modeling.
- Introduces Tableau for visualization and dashboarding.
- Applies tools across multiple business domains.
- Hands-on exercises enhance learning and application.
- Opens roles like Business Analyst, Marketing Analyst, Operations Analyst, and HR Analyst.
- Builds foundational skills for transitioning into data science or MBA programs.
- Strengthens problem-solving and data-driven decision-making abilities.
- Average salary range: $65K–$100K depending on experience and role.
- Practical projects demonstrate tangible business impact on your resume.
- Individual courses include practical exercises using real datasets.
- Capstone project integrates skills from all courses to solve business problems.
- Encourages applying analytics across marketing, HR, finance, and operations.
- Provides a portfolio-ready demonstration of analytical skills.
- Enhances confidence in business decision-making.
- 5 courses, each approximately 4 weeks long.
- Total duration: ~20 weeks at a moderate pace.
- Self-paced learning with lifetime access.
- Includes theory, hands-on exercises, and capstone application.
- Certificate awarded upon completion of all modules.
