Business Analytics & Strategy
Course Overview
The Business Analytics & Strategy course is an advanced professional program designed to help learners harness the power of data to make smarter, evidence-based business decisions. It bridges the gap between analytics and strategic management, focusing on how organizations use data insights to drive profitability, innovation, and competitive advantage.
Participants will gain hands-on exposure to the analytical lifecycle — from data collection and visualization to predictive modeling and business forecasting. You’ll learn to translate analytical insights into actionable business strategies that improve operations, optimize marketing, and shape corporate strategy.
By blending real-world case studies with practical tool-based training, the course transforms you into a data-savvy strategist who can identify opportunities, mitigate risks, and lead business transformation in the digital era.
Key Highlights
- Comprehensive coverage of analytics, business intelligence, and strategic planning
- Hands-on projects using real-world datasets and visualization tools
- Learn to design data-driven business models and decision frameworks
- Blend of technical (data analytics) and managerial (strategy design) skills
- Expert mentorship with case studies from global brands and industries
- Build and present a complete Business Analytics Strategy portfolio project
- Certification recognized for roles in analytics, consulting, and management
Tools & Technologies Covered
- Data Analytics Tools: Excel, Power BI, Tableau, Google Data Studio
- Statistical & Modeling Tools: Python (Pandas, NumPy, Scikit-learn), R
- Databases: SQL, MySQL, Google BigQuery
- Business Tools: SAP Analytics Cloud, IBM SPSS, SAS
- Project Tools: Microsoft Project, Trello, Jira for strategy implementation
- Visualization & Presentation Tools: PowerPoint, Canva, Google Slides
Curriculum
- 6 Sections
- 0 Lessons
- 15 Weeks
- Module 1: Introduction to Business AnalyticsIntroduction to Web Technologies HTML5 & CSS3 – Structure and Styling Responsive Web Design (Flexbox & Grid) JavaScript Essentials (ES6+) DOM Manipulation and Events ReactJS – Components, State, and Props Building Single Page Applications (SPA)0
- Module 2: Data-Driven Decision MakingIntroduction to Node.js & Express.js Server Creation and Routing Working with RESTful APIs Authentication & Authorization (JWT, Sessions) CRUD Operations and API Integration Middleware and Error Handling0
- Module 3: Descriptive & Diagnostic AnalyticsIntroduction to Databases Working with MongoDB and Mongoose Data Modeling and Schema Design Performing CRUD Operations Database Connectivity with Node.js0
- Module 4: Predictive Analytics & ForecastingGit & GitHub Essentials Project Collaboration and Branching Hosting Front-End (Netlify) Deploying Back-End (Render, AWS, or Heroku) Managing Environment Variables & Configurations0
- Module 5: Business Intelligence (BI) & Data VisualizationBuild a Complete Full Stack Web Application Integrate Front-End & Back-End Seamlessly Test, Debug, and Deploy Your Application Present Your Project Portfolio0
- Module 6: Strategic Management & Business Modeling0
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