Business Analytics · Power BI
Professional Certificate Program · Data Analyst Launchpad
Build the skills.
Build the portfolio.
Build your Data Analytics career.
A 4-month, industry-focused journey designed to take you from analytics fundamentals to industry-ready, AI-powered data analysis.
- 4 Months
- 16-Week Learning Path
- Beginner Friendly
- Live + Recorded
- No Prior Coding Required
Core tools
Excel · SQL · Power BI · Python · GenAI
Program at a Glance
Everything you need to move toward a Data Analyst role.
- Duration
- 4 Months / 16 Weeks
- Mode
- Online — Live & Recorded
- Level
- Beginner
- Prerequisite
- No Prior Coding Required
- Technical Learning
- 180+ Hours
- Q&A / Support
- 80+ Hours
- Projects
- Industry-Ready Project
- Career Preparation
- Mock Interviews + Career Readiness
Learning tools is easy.
Becoming an analyst is not.
Many learners can complete courses or learn individual tools but still struggle to connect those skills to real business problems, projects and career opportunities.
Data Analyst Launchpad is designed to bridge that gap through structured learning, hands-on practice, real-world case studies and career-focused guidance.
The QriusAI Methodology
More than tools. Learn how to think like an analyst.
- 01
Understand
Build strong foundations and understand the business context.
- 02
Analyse
Work with data, identify patterns and generate meaningful insights.
- 03
Build
Create dashboards, analysis and portfolio-ready projects.
- 04
Communicate
Turn analysis into clear business stories and decisions.
- 05
Position
Build your portfolio and prepare yourself for professional opportunities.
Why This Program
A connected journey from beginner to industry-ready.
01
Beginner-to-Industry Ready Journey
Excel → Power BI → SQL → Python → AI as one connected learning path.
02
Real-World Case Studies
Hands-on projects and case studies modeled on practical business problems rather than textbook-only exercises.
03
Industry Interaction
Exposure to working professionals and practical perspectives on how analytics is used in the real world.
04
Career & Networking Opportunities
Guidance, professional development and opportunities to build connections around an analytics career.
Curriculum
Your 16-Week Learning Journey
A structured path from analytics fundamentals to portfolio-ready work.
180+ hours of technical learning · 80+ hours of Q&A / support
Tools you'll work with
Core Analytics
- Excel
- SQL
- Power BI
- Python
AI & Automation
- ChatGPT
- Claude
- Gemini / NotebookLM-style AI tools
- Other relevant AI tools
Real-World Projects
Don't just learn analytics. Build with real business problems.
Apply your learning through hands-on work designed around practical business scenarios.
- Business Problem
- Data
- Analysis
- Dashboard / Output
- Business Insight
Retail Analytics · Power BI
Customer Shopping Analytics Dashboard
Business Analytics · Power BI
Restaurant Performance & Inventory Analytics Dashboard
Supply Chain Analytics · Power BI
Supply Chain Analytics Cockpit
What You Will Build
By the end of the program, you'll have more than a certificate.
Proof of work — not just proof of completion.
- Real-World Projects
- Power BI Dashboards
- Analytics Portfolio
- Resume
- LinkedIn Profile
- Professional Positioning
- Interview Stories
Career Launch & Industry Readiness
From learning to getting career-ready.
Career guidance, interview preparation and industry preparation built into the journey.
- LinkedIn Profile Optimization
- ATS-Friendly Resume Development
- Naukri Profile Optimization
- Professional Portfolio Development
- Personal Branding for Job Seekers
- Professional Website Guidance
- Career Guidance
- Interview Preparation
- Real-World Project Showcase
- Mock Interviews
Who It's For
Who is this program for?
College Students
Preparing for analytics careers.
Fresh Graduates
Building practical, analytics-ready skills to enter the job market.
Early Professionals
Professionals in operations, MIS, marketing, finance, support or similar roles who want to move toward analytics.
Career Switchers
Professionals from other domains who want a structured path into Data Analytics.
No prior coding experience required.
Skills built for the job, not just the classroom.
- 01 Data Cleaning & Wrangling
- 02 Data Modelling
- 03 Data Visualization & Dashboard Creation
- 04 ETL & Workflow Automation
- 05 Exploratory Data Analysis
- 06 Predictive / Analytical Thinking
- 07 AI-Driven Insights
- 08 Communicating Results to Stakeholders
Meet Your Mentor
Learn from a practitioner.
Deepti Nema — Founder & Mentor, QriusAI
18+ years in the IT and software industry, including experience with global enterprises such as Wipro and CGI.
Deepti founded QriusAI to help learners and career-changers build the roadmap, practical skills and confidence needed to turn analytics knowledge into real opportunities.
“If someone had shown me the right roadmap earlier, the journey would have been much easier. Today, I want to become that mentor for thousands of students.”
About QriusAI
QriusAI is a practical-learning platform focused on Data Analytics, hands-on projects, real business case studies and close mentorship.
The focus is not simply on learning tools — it is on building the confidence to solve real problems with data.
Learn More About QriusAICertification
Complete the journey.
Earn your QriusAI Certificate.
Recognition of completing the Data Analyst Launchpad learning journey.
FAQ
Frequently asked questions
Ready to build your Data Analytics career?
Start with a structured roadmap, practical projects and mentor-led guidance.