What You'll Get

βœ“ πŸŽ“ Learn from industry experts with real-world experience and proven expertise
βœ“ 🀝 1:1 personalized guidance tailored to your goals and learning pace
βœ“ πŸ’Ό Internship opportunities to gain hands-on experience at top companies
βœ“ πŸ”— Referrals & network access to fast-track your career growth
βœ“ 🌟 Profile building support β€” resume, LinkedIn, and portfolio crafted to impress

Course Curriculum

7 modules β€’ 51 lessons

1. Introduction to Business Analytics

7 lessons

2. Data Management & SQL for Finance

7 lessons

3. Statistics & Visualization Basics

7 lessons

4. Power BI for Financial Dashboards

8 lessons

5. Python for Financial Analytics

7 lessons

+ 2 more modules

About This Course

Break into top finance and analytics roles with the exact tools recruiters look for β€” SQL, Python, Power BI, and predictive modelling, all in just 4 weeks. You'll build real financial dashboards, write data queries, analyse stock returns with Python, and create credit risk models β€” portfolio-ready projects that stand out in placement interviews. AI tools like Power BI Copilot, GitHub Copilot, and Google AutoML keep you ahead of the curve. Spanning 7 modules, 56 lessons, and a full capstone project, this course turns final-year students into job-ready analysts.