Data Science Masterclass (Analytics to AI)
Master Applied Statistics, Advanced SQL, Python, Tableau/Power BI dashboards, and Predictive Analytics for high-growth roles.
What is this course about?
Turn raw data into business revenue. This 5-month masterclass equips you with the complete toolkit required by Data Analysts, BI Specialists, and Data Scientists: Advanced SQL, Python Analytics, Statistics, Tableau / Power BI, and Predictive Machine Learning.
Key Course Highlights:
Who is this course for?
- 👉 Non-tech professionals wanting a high-paying pivot into analytics
- 👉 Software engineers looking to shift towards Business Intelligence & Data Science
- 👉 College graduates from any stream (B.Tech, B.Sc, B.Com, MBA) wanting data careers
Prerequisites:
- ✓ Basic comfort with spreadsheets / numbers. No coding prerequisites.
- ✓ A computer with at least 8GB RAM.
Course Curriculum & Learning Path
6 Detailed Modules • 5 Months (160+ Hours)
Master data cleaning, lookup functions, pivot tables, and financial modeling.
Topics Covered:
Query relational databases like a pro with complex joins and window calculations.
Topics Covered:
Major Projects You Will Build
Stand out in interviews with production-grade portfolio projects — not just basic calculator apps.
SaaS Customer Lifetime Value & Churn Predictor
Identifies high-risk accounts and forecasts quarterly recurring revenue with 94% accuracy.
Fintech Credit Risk Underwriting Model
Scores loan applicants based on historical transaction data and default risk metrics.
Omnichannel Retail BI Dashboard in Power BI
Tracks revenue across 50+ regional stores with drill-down views by product category and sales rep.
Learn Directly From MNC Veterans
At Logic Wale, we are just starting our brand and our mentors are exclusively from top Multinational Corporations. They bring industry standard best-practices, real architectural case studies, and corporate interview secrets straight to your screen.
EX-AMAZONRohan Verma
Ex-Amazon Lead Data Scientist
💼 7+ Years managing enterprise analytics pipelines
EX-MICROSOFTAman Sharma
Ex-Microsoft Analytics Engineer
💼 8+ Years in large-scale SQL & BI data warehouses
Tools & Technologies Mastered
Frequently Asked Questions
Q: Do I need an engineering degree to become a Data Analyst?
Not at all. Data Analytics hires heavily from Commerce, Science, Arts, and Management backgrounds because business understanding and SQL matter more than low-level engineering.
Q: Does this course teach both Power BI and Tableau?
Yes, we provide hands-on modules in both market leaders, plus Advanced SQL and Python, so you qualify for all job listings.
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