Become a Data Analyst – Pay After Your Get Placed!
Pay just ₹4,999 + GST. The rest ₹1,15,000 is payable only after placement.
Pay Only ₹4,999 Now
Secure your seat with a minimal registration fee and pay the remaining ₹1,15,000 only after you get placed.
Simple Payment Structure
Registration Fee
₹4,999
After Placement
₹1,15,000
Total Course Fee
₹1,19,999
Who is this Course For?
Fresh Graduates
Looking to kickstart a career in Data and Analytics with strong foundations.
Working Professionals
Transition smoothly into analytics and data roles with guided learning paths.
Math & Commerce Background
Leverage your analytical mindset and apply it to data-driven decision making.
Non-Tech Professionals
Curious about data? Learn from scratch and explore the world of analytics.
Why Choose Us?
Pay After Placement Assurance
Zero upfront fees — pay the course fee only after you land a job.
Expert Mentors from Top Companies
Learn directly from senior professionals at Google, Amazon, and more.
1-on-1 Doubt Solving
Stuck somewhere? Get personalized help anytime during the program.
Career Support till Placement
Dedicated placement team with mock interviews and job referrals.
Lifetime Access to LMS & Materials
Unlimited access to recorded classes, PDFs, and project resources.
100% Practical Learning Approach
Master skills by building real-world projects, not just watching videos.
Hands On Projects You'll Build
Sales Dashboard in Power BI
Visualize and track sales performance using interactive Power BI dashboards.
E-commerce Product Analysis
Analyze product performance and user trends in Python with pandas & matplotlib.
Bank Loan Default Prediction
Use logistic regression and decision trees to predict loan default risks.
Customer Segmentation
Apply K-Means clustering to segment customers based on purchasing behavior.
Hospital Readmission Analytics
Analyze patterns in patient readmissions to improve hospital performance metrics.
Data Analyst Course Curriculum
Month 1: Data Foundations & Excel Mastery
- Week 1: Introduction to Data Analytics
- Week 2: Excel Basics + Data Cleaning
- Week 3: Advanced Excel + Dashboards
- Week 4: Case Study + Tools Intro
Month 2: SQL + Python for Data Analysis
- Week 5: SQL Basics – Data Querying
- Week 6: SQL Joins & Aggregations
- Week 7: Python Basics
- Week 8: Pandas for Data Analysis
Month 3: Exploratory Data Analysis + Visualization
- Week 9: NumPy + Descriptive Statistics
- Week 10: EDA using Pandas & Seaborn
- Week 11: Data Visualization using Power BI
- Week 12: Tableau Basics (Optional)
Month 4: Statistics, Case Studies & Placement Prep
- Week 13: Inferential Statistics
- Week 14: Data Analyst Case Study – End to End
- Week 15: Resume, GitHub, and Interview Prep
- Week 16: Final Capstone Project + Placement Support
Tools Covered
Python
NumPy
Pandas
GitHub
Git
Docker
TensorFlow
Keras
HuggingFace
LangChain
Streamlit
OpenAI
Linux
Flask
Azure
GCP
AWS
Terraform
Kubernetes
JenkinsPortfolio Projects
Retail Sales Forecasting
Predict sales using Python and visualize trends with Power BI.
Hospital Patient Analytics
Analyze hospital data and build performance dashboards.
Customer Churn Analysis
Identify churn patterns and improve retention using Python.
Netflix Recommendation Insights
Explore content preferences and trends with Python analysis.
E-commerce Order Analytics
Analyze order data using SQL and Tableau dashboards.
Financial Dashboard Analysis
Build interactive dashboards using Excel and Power BI for revenue and expense tracking.
Placement Assistance
Dedicated Career Coach
1-on-1 support to guide your career path and job preparation.
Resume, GitHub & LinkedIn Profile Building
Polish your profile and resume to attract top employers.
Mock Interviews
Practice technical & behavioral rounds with experts.
HR & Technical Prep
Master communication and problem-solving for real interviews.
Job Referrals & Interview Scheduling
Get referred to hiring partners and schedule interviews faster.
Fast-Track Resume Forwarding
We actively send your resume to top companies in our hiring network to fast-track your interview process.
Success Stories from Our Learners
I joined with just ₹4,999 and now I’m working as a data analyst in a fintech startup making 6 LPA! The mentorship and mock interviews made all the difference.
Ritu M., Mumbai
The curriculum is 100% practical, and the placement team truly delivers. I cracked 3 interviews back-to-back thanks to their guidance!
Sagar V., Bangalore
Coming from a commerce background, I was unsure. But the hands-on projects and real-time support made it smooth. Got placed at KPMG!
Neha J., Delhi
From Excel to Power BI and SQL — every tool I needed, I mastered here. I now work as a Business Analyst with Capgemini.
Rahul T., Hyderabad
As someone from a non-tech background, this program gave me the confidence to pivot. The capstone projects were impressive portfolio boosters!
Jessica A., New York
I loved the flexibility of 6–8 hours per week. It allowed me to learn alongside my part-time job. I’m now interning at a data consultancy firm.
Brian M., Texas
The ‘Pay After Placement’ model removed the financial risk. Today I’m working in a data analyst role at a mid-size retail company.
Samantha R., California
This course gave me everything — tools, mentorship, and job support. I even got help optimizing my GitHub and resume for US recruiters.
Eric L., Florida
The curriculum is global-standard and the project portfolio impressed my employer. I now work with a London-based e-commerce firm.
Aisha K., London
Being from a maths background, the transition to data analytics was smooth. I landed my first analyst job in just 5 months!
David W., Manchester
Real-world projects, 1-on-1 mentoring, and a clear roadmap made this the best investment. I’m now at a tech firm making £35K+.
Priya S., Birmingham
The course is well-paced, and even the capstone project reviews were professional-level. The placement support extended even after 6 months!
Arjun N., Leeds
Frequently Asked Questions
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