Career Reboot | Analytics Track
Your Next Career Chapter Starts with Data Analytics.
Transition into Data Analytics with a structured learning path, practical business projects, and guidance to reposition your existing experience for analytics roles.
- Learn Core Analytics Skills
- Build Relevant Projects
- Reposition Your Career
The Transition Challenge
Changing Careers Takes More Than Learning New Tools.
- Not knowing where to start when coming from another professional background.
- Learning tools without understanding how they solve business problems.
- Lacking relevant analytics projects to demonstrate practical capability.
- Struggling to explain transferable experience in analytics interviews.
- Not knowing how to reposition a resume or LinkedIn profile for a career transition.
The Career Reboot Journey
From Your Current Experience to Your Next Opportunity.
- 01
Phase 1
Foundation & Direction
Understand analytics roles, identify transferable skills, and establish a learning roadmap.
- 02
Phase 2
Core Analytics Skills
Build foundations in Excel, SQL, Power BI, business thinking, and beginner-level Python.
- 03
Phase 3
Practical Projects
Apply concepts to realistic business problems and build a portfolio that demonstrates your analytical approach.
- 04
Phase 4
Career Transition & Positioning
Strengthen your resume, LinkedIn profile, project presentation, and interview preparation for analytics roles.
What You Will Learn
Core analytics skills, built from the foundations.
No prior coding experience required — the learning path starts from the foundations.
Excel for Data Analysis
Data cleaning, organization, analysis, and business reporting.
SQL for Data Extraction
Querying, filtering, joining, and working with structured data.
Power BI for Dashboards
Data visualization, interactive dashboards, and business insight communication.
Python for Analytics
Beginner-friendly data analysis and working with datasets.
- Analytical thinking
- Business problem-solving
- KPIs & business context
- Interpreting data & communicating insights
Real-World Project Portfolio
Build Evidence of What You Can Do.
Projects are aligned with realistic business scenarios and can be adapted to your background and learning path — helping you demonstrate practical thinking and explain your work in interviews.
Business Problem Case Study
Customer Retention & Behaviour Analysis
End-to-End Analytics Project
- Understand the Problem
- Explore the Data
- Analyse
- Build the Solution
- Communicate Insights
Career Repositioning
Make Your Existing Experience Work for Your Next Career.
Resume Transformation
Reframe relevant existing experience for analytics roles.
LinkedIn Positioning
Align the profile with the intended career direction.
Project Portfolio
Present practical work as evidence of capability.
Interview Preparation
Practise explaining projects, decisions, and career-transition motivation.
Personalized Career Guidance
Identify relevant next steps for the transition.
Who It's For
Who Is This Program For?
- Professionals from non-technical backgrounds who want to transition into analytics.
- Working professionals seeking a change in career direction.
- People returning to work after a career break.
- Learners who have studied analytics tools but struggle to apply them.
- Individuals who want to build relevant project experience before pursuing analytics roles.
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.”
FAQ
Frequently asked questions
Ready to Explore Your Career Transition?
Tell us about your background and goals. The QriusAI team will connect with you to discuss the next steps.