81+
Training Hours
Live cohort, guided labs, and replay-ready sessions
5
Learning Parts
Foundation, big data, pipelines, AI, and career execution
3
Capstone Projects
E-commerce analytics, streaming, and architecture proof
4.6/5
Learner Rating
Practical guidance, doubt support, and interview focus
From foundational SQL to Agentic AI and data architecture.
The syllabus stays aligned with the original Paid Courses page while fitting the CareerOS visual system.
Part 1: Analytics Foundation
18 hoursPart 2: Big Data Architecture
18 hoursPart 3: Data Pipelines and Engineering
18 hoursPart 4: AI Automation and Career
18 hoursPart 5: Agentic AI Masterclass
9 hoursCareer switchers and non-tech learners moving into data roles.
A compact version of the academy placement proof, using the same learner images already available in the PrepNPlaced asset library.
Senthilkumar
Deloitte
From
Operations and Accounts
To
Data Analyst
Ritesh Gandhare
Infor
From
Mechanical Field
To
Data Analyst
Sneha Kulkarni
7-Eleven
From
Career Gap
To
Data Engineer
Lipika Gupta
Target
From
EduTech Domain
To
Data Analyst
Om Rai
People INC.
From
Service Company
To
Data Analyst
Mohit Dudeja
Wells Fargo
From
Ericsson
To
Data Analyst
Founder-led cohort with practical project and interview guidance.
The instructor cards use the same people, images, and profile links as the source academy page.
Durgesh Yadav
Founder and Lead Instructor
Senior Data Engineer at 7-Eleven. Ex-Product Analyst at Target. Trained thousands of learners for analytics, data engineering, and product-based roles.
LinkedIn Profile
Pragya Rathi
Co-Founder and Lead Instructor
Product Analyst at Target. Data Specialist and Analytics Instructor across SQL, analytics thinking, interview readiness, and practical business cases.
LinkedIn ProfileWhat learners say after joining.
Real feedback framed as compact proof cards so the page stays readable on CareerOS.
Senthil
Cohort Review
The cohort took me from confusion to clarity. The roadmap, projects, and mentorship made real interview and industry problems feel practical.
Akanksha
Career Transition
This gave me the practical learning I needed to break into analytics. The real job scenarios and resume guidance boosted my confidence.
Ritesh
Hands-On Learning
I had theory but no direction before joining. This program gave me real datasets, projects, and company-style problem solving.
Abhishek
Mentorship
The mentorship stands out. Doubts get resolved quickly and the step-by-step approach helped me build strong SQL, Python, and analytics fundamentals.
Shubham
Weekly Growth
This program pushed me from learning concepts to applying them. The assignments and feedback loop helped me improve every week.
Rajib Roy
Data Analyst Batch
The batch helped me understand how a real data analyst works. The Tuesday mentorship has been incredibly valuable.
George
Resume Guidance
Durgesh helped me understand my resume and approach the job market more wisely.
Pragati Sangal
Interview Support
The guidance was detailed, practical, and immediately useful. Mock practice and STAR method tips gave me a clear plan.
Mosaddik Hussain
1:1 Mentorship
After exploring data analytics for nearly a year, I found the right mentor here. The teaching style and roadmap genuinely help beginners grow.
4.6
Rated by 1000+ learners
Trusted for practical teaching, real assignments, doubt support, and job-focused interview preparation.