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Business Analytics Professional Program
Business Analytics
Use data to make and defend business decisions.
For managers and professionals who need to turn data into business decisions. You'll analyze finance, marketing, customer and operations data in Excel, SQL and Power BI, and learn to present findings to people who don't work with data.
What you'll learn
- Business intelligence fundamentals
- Strategic data analysis
- Financial analytics and modeling
- Marketing analytics
- Operations analytics
- Customer analytics and segmentation
- Predictive analytics for business
- Business performance metrics (KPIs)
- Advanced Excel, Power BI and SQL
- Data storytelling and presentation
Curriculum
9 modules
Weeks 1–2Introduction to Business Analytics
- The business analytics landscape
- Descriptive, predictive and prescriptive analytics
- Data-driven business strategy
- Analytics maturity model
- Business vs technical analytics
Weeks 3–5Business Intelligence Tools
- Advanced Excel functions
- Pivot tables and charts
- Power Query for data transformation
- SQL fundamentals for business
- Power BI Desktop and Service
- Creating business dashboards
Weeks 6–7Financial Analytics
- Financial statement analysis
- Profitability analysis
- Cost-benefit analysis
- Budget forecasting
- Financial modeling
- ROI and NPV calculations
- Risk assessment
Weeks 8–9Marketing Analytics
- Customer acquisition cost (CAC)
- Customer lifetime value (CLV)
- Marketing campaign analysis
- A/B testing and experimentation
- Social media analytics
- Web analytics (Google Analytics)
- Marketing attribution models
Weeks 10–11Customer Analytics
- Customer segmentation
- RFM analysis
- Churn prediction
- Customer journey mapping
- Net Promoter Score (NPS) analysis
- Cohort analysis
Weeks 12–13Operations Analytics
- Supply chain analytics
- Inventory optimization
- Process improvement analysis
- Quality control analytics
- Resource allocation
- Efficiency metrics
Weeks 14–15Predictive Analytics for Business
- Introduction to predictive modeling
- Sales forecasting
- Demand prediction
- Trend analysis
- Time series forecasting
- Business scenario planning
Week 16Data Visualization and Storytelling
- Principles of data visualization
- Building a business story
- Executive dashboards
- Presentation practice
- Communicating with stakeholders
Week 17Capstone Business Project
- Real business case study
- End-to-end analysis
- Dashboard creation
- Business recommendations
- Executive presentation
Who it's for
- Business managers and executives
- Marketing professionals
- Finance and accounting professionals
- Operations managers
- Entrepreneurs and business owners
- Consultants
Career paths
- Business Analyst
- Business Intelligence Analyst
- Marketing Analyst
- Financial Analyst
- Operations Analyst
- Strategy Analyst
- Product Analyst
- Analytics Consultant
Tools
- Microsoft Excel (advanced)
- Power BI
- SQL
- Google Analytics
- Tableau (introduction)
- R/Python basics
Projects
- Customer segmentation for e-commerce
- Sales performance dashboard
- Marketing campaign ROI analysis
- Financial forecasting model
- Supply chain optimization
- Churn prediction analysis