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Cohort 3 Open — Only 15 Seats. Apply Before They're Gone.

Land Your First
Data Science Job.
In 3 Months — Not 3 Years.

EarEase-Nexus is India's most focused data science program. Max 15 students per cohort, real industry projects, practitioner mentors who review your code — not a 300-person lecture hall.

15
Max students/cohort
10+
Real-world projects
₹30K
Plans starting at
May '26
Next cohort starts
Tools you'll master
🐍 Python
🗄️ SQL
📊 Power BI
📈 Tableau
🤖 Scikit-learn
🧮 Pandas & NumPy
☁️ Azure / AWS
🔥 XGBoost
⚡ FastAPI
🖥️ Streamlit
The Problem

Why most data courses fail you

You've seen the ads. "Learn in 3 months." "Get placed at ₹15 LPA." Here's what they don't tell you.

01

You're 1 of 500 students

Mass-enrollment platforms batch you with hundreds of strangers. Nobody notices if you skip a week. Nobody follows up. You become a seat in a spreadsheet — not a person with a goal.

02

Certificates ≠ job offers

You finish the course, get a PDF, apply to 200 jobs, hear nothing. HR managers want proof of real work — not a certificate of watching 80 hours of video lectures. Credentials without portfolio don't convert.

03

Theory without real projects

"Iris dataset" and "Titanic survival" are not portfolio projects. Employers spot tutorial work instantly. You need to build things that look exactly like real analyst or data scientist work.

Our Approach

Built differently.
Designed for outcomes.

We cap every cohort at 15 students. Here's what that actually means for your learning.

🎯

Micro-cohort — 15 students maximum

Every student gets seen. Mentors know your name, your project, and your progress. You cannot hide — and you won't need to. Small cohorts create accountability and genuine mentorship.

🏗️

Industry-grade projects — not toy datasets

Every module ends with a deployable project scoped like real consulting work. Your portfolio will show recruiters exactly what you can do — not just what you watched.

🗣️

Live mentorship from active practitioners

Your mentors are currently working data scientists and analysts at tech companies — not ex-practitioners who left industry years ago. They review your code like a senior engineer would at work.

🚀

Hands-on placement support

Resume review, LinkedIn optimisation, mock interviews with recorded feedback, and direct introductions to hiring managers. Not just a job board link and good luck.

EarEase-Nexus at a glance

3 Tracks.
One Mission.

From exploring data science to landing a specific domain role — choose the commitment level that fits your timeline and goal.

45
Days — Foundation track
3
Months — Job-Ready track
6
Months — Immersive track
10+
Real projects built
What You'll Build

Real projects. Real portfolio.

Every project is scoped like real business work — with a data problem, business context, and a deliverable. These go straight onto your GitHub and LinkedIn.

📊
E-Commerce Analytics · Career & Immersive Track

Customer Churn Prediction & Revenue Dashboard

End-to-end ML pipeline for a D2C brand — raw SQL extraction, feature engineering, XGBoost classification model, and a live Power BI dashboard with churn probability scores and projected revenue impact. This is the kind of project that gets recruiters to respond.

Python SQL Power BI XGBoost Pandas Scikit-learn
🏥
Healthcare · Career Track

Patient Readmission Risk Model

Predict 30-day hospital readmissions using structured EHR data. Train, evaluate, and deploy a classification model with a Streamlit dashboard for clinical teams.

Python Scikit-learn Streamlit
💰
FinTech · Career Track

Fraud Detection API

Handle severe class imbalance, engineer features from transaction sequences, and deploy a real-time fraud scoring API using FastAPI and XGBoost.

Python XGBoost FastAPI
🛒
Retail Analytics · All Tracks

Sales Forecasting Dashboard

Time-series forecasting for a retail chain with an interactive Tableau dashboard. The kind execs actually use for replenishment decisions.

Tableau SQL Prophet
🔍
Capstone · Immersive Track

Your Industry-Specific Capstone

Choose your domain — Finance, E-commerce, or Healthcare. Full pipeline: raw data → ML model → dashboard → presentation to a mock stakeholder panel with mentor feedback.

Full Stack Your Domain Mentor-Guided
Curriculum

What you'll learn, module by module

Fully transparent. Every module, every tool, every project brief — listed here before you pay a rupee.

Python from the ground up — data types, control flow, functions, file I/O. NumPy arrays and Pandas DataFrames on real datasets from Day 1. You will be writing practical data-cleaning code within two weeks.
Python 3.x Pandas NumPy Jupyter
From basic SELECT to CTEs, window functions, subqueries, joins, and query optimisation. Work on PostgreSQL and SQLite using real business schemas. SQL is used daily in every data role — we make it second nature.
SQL PostgreSQL SQLite
Descriptive stats, distributions, outlier detection, hypothesis testing, and correlation analysis. You'll learn to tell a clear data story before building any model — the skill most analysts actually use in their day-to-day work.
Seaborn Matplotlib SciPy
Build interactive dashboards in Power BI and Tableau that stakeholders actually use. Learn the art of data storytelling — choosing the right chart, building a narrative, and making recommendations that get actioned.
Power BI Tableau Plotly
Regression, classification, and clustering — from intuition to implementation. Train/test splits, cross-validation, hyperparameter tuning, class imbalance, and model evaluation metrics. No black boxes; you'll understand what you're running.
Scikit-learn XGBoost LightGBM
Package models as REST APIs with FastAPI. Deploy on cloud using Azure/AWS basics. Build Streamlit apps for non-technical stakeholders. Then: resume writing, LinkedIn optimisation, GitHub portfolio polish, and mock technical interviews with recorded feedback.
FastAPI Azure AWS Streamlit GitHub

Tools & Technologies

🐍
Python
🗄️
SQL
📊
Power BI
📈
Tableau
🤖
Scikit-learn
🔥
XGBoost
🧮
Pandas
📉
NumPy
☁️
Azure
FastAPI
🖥️
Streamlit
🐙
GitHub
⏱️
180+
Total learning hours on Career Track
Pricing

Clear plans. No hidden fees.

Three tracks designed for different goals and timelines. All prices + 18% GST. EMI available on request.

Foundation
"Learn the skill. Build the proof."
30K
+ 18% GST = ₹35,400 total
45 days · 3 live sessions/week
  • What's included
  • Live online classes (3× per week)
  • Full Python, SQL, EDA & Pandas syllabus
  • 3 guided real-world projects
  • Certificate of completion
  • Community access (Discord)
  • Lifetime recording access
  • Weekly assignment feedback
Start Foundation Track
Best for: Fresh graduates exploring data science with low-risk entry.
Career Accelerator
"Guaranteed outcome or we work until you get there."
80K
+ 18% GST = ₹94,400 total
6 months · Full immersive
  • Everything in Job-Ready, plus
  • 10+ projects including a capstone product
  • 6× 1:1 mentor sessions (named mentors)
  • Domain track: Finance / E-commerce / Healthcare
  • Guaranteed 5 interview referrals
  • Conditional refund — no interview calls in 60 days post-completion
  • LinkedIn profile review by an industry recruiter
  • Freelancing accelerator module
  • Alumni network — lifetime access
Apply for Accelerator
Best for: Students serious about a specific industry track who want a guaranteed outcome.

All plans include lifetime recording access. EMI available on request. Questions? Write to admissions@eareasetech.com

Why EarEase-Nexus

What makes us genuinely different

Every edtech platform promises the moon. Here's what we actually do differently — and why it converts to offers.

👥

15-seat micro-cohorts

We cap every cohort at 15 students. Your mentor knows your name, your project, and your progress. You can't hide — and you won't need to.

🏗️

Portfolio-first curriculum

Every module ends with a deployable, reviewable project. By graduation you have 6–10 real projects on GitHub — the kind that get recruiter messages.

🎯

Active practitioner mentors

Mentors are currently working in data roles at tech companies — not ex-practitioners who left industry five years ago. They review your code like a senior engineer would in a real job.

📋

100% transparent syllabus

Everything we teach — every module, every tool, every project brief — is listed publicly. You know exactly what you're getting before paying a single rupee.

💼

Hands-on placement support

Not just a job board link. We review your resume, optimise your LinkedIn, run mock interviews, and make direct introductions to hiring managers where we can.

🔒

Conditional refund guarantee

On the Immersive track: complete the program, submit all projects, and if you don't receive interview calls within 60 days post-completion, we continue supporting you — or refund.

Your Mentors

Learn from practitioners, not professors

Every mentor at EarEase-Nexus is currently employed in a data role. They bring real codebases, real constraints, and real hiring perspective to every session.

AK
Arjun K.
Senior Data Scientist
FinTech Startup · Bengaluru
5+ years in ML and credit risk modelling. Specialises in XGBoost, feature engineering, and deploying models in production at scale. Covers Modules 5–6 and reviews every student's ML project personally.
PS
Priya S.
Data Analytics Lead
E-commerce Company · Hyderabad
Expert in SQL, Power BI, and translating raw data into business decisions. 7 years building analytics products for category and growth teams. Covers Modules 2–4 and dashboard project reviews.
RM
Rahul M.
ML Engineer
SaaS Platform · Pune
Builds end-to-end ML pipelines on Azure with FastAPI and Streamlit. Former FAANG intern. Covers deployment module and conducts the mock technical interviews with detailed recorded feedback for every student.
Student Outcomes

What our students say

Real students. Real outcomes. From our pilot cohorts.

★★★★★
"Coming from a non-CS background I was terrified. By month 2 I had built a working churn model and presented it to a mock client panel. Got a Data Analyst offer within 6 weeks of graduating. The cohort size made all the difference — Arjun literally reviewed my code every single week."
VR
Varsha R.
Data Analyst · EdTech Company, Bengaluru
★★★★★
"I had completed two other online courses before EarEase-Nexus. Both were video lecture dumps. This felt like actual work experience. The projects are exactly the kind of things you see in job descriptions. My GitHub now gets actual recruiter messages — that never happened before."
KP
Karan P.
Junior Data Scientist · Healthtech Startup, Mumbai
★★★★★
"Priya's SQL and Power BI sessions were exactly what I needed while working full time. The 3-classes-per-week format was manageable. Three months after completing the program, I was running analytics for our entire product team. Got promoted. Worth every rupee."
SA
Sneha A.
Product Analyst · SaaS Company, Hyderabad
FAQ

Questions we get asked most

EarEase-Nexus is built for two profiles. (1) Final-year engineering, science, or commerce students and recent graduates who want to break into the data field — no prior coding required for the Foundation track. (2) Working professionals from any domain looking to transition into data analyst or data science roles who need practical, portfolio-building training, not just theory and certificates.
Not for the Foundation or Job-Ready tracks. We start from Python fundamentals with zero assumptions. You need to be comfortable with a computer and have basic logical thinking — if you've used Excel for data work, you're ready to start. The Immersive track assumes you've completed at least the Career-track content.
Self-paced video courses are great for learning concepts. They're poor at getting you hired — because employers can't verify depth of understanding, and nobody builds anything real. EarEase-Nexus is cohort-based, project-driven, and mentor-reviewed. You build real things. A practitioner looks at your code. You do recorded mock interviews. You get placement support. That's what converts to offers.
All live sessions are recorded and uploaded within 24 hours. You can catch up async. That said, live attendance is strongly encouraged — the Q&A and live project feedback sessions happen in real-time and aren't fully replicable from recordings. Mentors know who attends live, and it shows in the quality of feedback you get.
After the Job-Ready (₹45K) track, graduates typically apply for: Data Analyst, Business Analyst, Product Analyst, Reporting Analyst, Junior Data Scientist, and BI Developer roles. Most openings at ₹3–8 LPA are within reach for a strong portfolio graduate — especially with our mock interview prep and placement support.
For Foundation and Job-Ready tracks, you can withdraw and receive a full refund within 7 days of program start if it's not a fit. For the Immersive (₹80K) track, we offer a conditional guarantee: complete the program in full, submit all projects, and if you don't receive interview calls within 60 days post-completion, we continue supporting your placement — and consider a partial refund on a case-by-case basis. Terms are shared in the enrollment agreement.
Cohort 3 is scheduled to start in May 2026. We run one cohort every 2–3 months and hard-cap seats at 15 per batch. Fill the application form to reserve your place — we confirm within 48 hours.
🟢 4 seats remaining for May 2026 cohort

15 seats per cohort.
Cohort 3 is now open.

Apply in 5 minutes. We'll review your application and get back to you within 48 hours.

Questions? Email admissions@eareasetech.com — we respond within 24 hours.