
Many professionals want to move into Data Analytics
but struggle to figure out:
• Where to start from scratch
• How to transition from a non-technical background
• How to gain relevant project experience
• How to confidently apply for analytics roles
Most people keep learning…
but never feel ready to make the switch.
This program is designed to give you:
✔ A clear step-by-step transition roadmap
✔ Strong foundation across analytics tools
✔ Hands-on projects aligned with real business problems
✔ Guidance to position yourself for analytics roles
In this program, you will:
✔ Transition into Data Analytics step-by-step
✔ Build a job-ready portfolio with real projects
✔ Improve your resume & LinkedIn for career switch
✔ Gain confidence to apply for analytics roles
✔ Professionals from non-technical backgrounds looking to switch careers
✔ Individuals returning to work after a career break
✔ Working professionals feeling stuck in their current role
✔ Learners who have tried courses but couldn’t apply concepts
✔ Anyone serious about transitioning into Data Analytics
No prior experience required — just the right mindset to learn and grow.

✔ Transition into Data Analytics with a clear step-by-step path
✔ Build practical experience through real-world business projects
✔ Develop a strong portfolio aligned with industry expectations
✔ Gain confidence to explain your projects in interviews
✔ Learn how to approach and solve business problems using data
Move from confusion to confidence in your career transition journey.


Learn how to clean, organize, and analyze data using Excel.
Understand how real-world data is structured and used in business scenarios.
Learn how to extract and manipulate data from databases.
Understand how data is stored and accessed in real-world systems.
Build interactive dashboards and visualize business insights.
Learn how to present data clearly for decision-making.
Understand basic data analysis using Python.
Work with datasets and automate simple analysis tasks.
Analyze business data to identify problems and suggest actionable insights.
Understand customer patterns and factors impacting growth.
Build a complete solution from raw data to dashboard.
Work on projects designed to simulate real analyst responsibilities —
based on real business scenarios.
Project types may vary based on your background and learning path.
Build clarity on analytics concepts and understand how your current experience connects to this field.
Learn Excel, SQL, and Power BI with a focus on real-world application and business use cases.
Work on projects aligned with your background to build relevant experience.
Transform your resume, LinkedIn, and prepare for interviews with a clear transition strategy.
✔ Transition-Focused Project Portfolio
Build projects aligned with your background to support your career switch
✔ Resume Transformation
Reframe your existing experience to align with analytics roles
✔ LinkedIn Repositioning
Optimize your profile to reflect your transition into Data Analytics
✔ Interview Preparation for Career Switch
Learn how to confidently explain your journey and projects
✔ Personalized Career Guidance
Get direction and clarity on how to approach your transition
✔ QriusAI Certification
Showcase your skills and strengthen your profile for analytics roles
Everything you need to confidently transition into a Data Analytics career.
Ready to move into Data Analytics but unsure how to start?
Fill the form and we will guide you with the right path for your transition.
© QriusAI
Practical Learning for Data Analytics & AI
Contact: qriusai.contact@gmail.com