Data Science — AI/ML Specialisation
The complete data science stack — from Python and SQL to machine learning, deep learning, and NLP. Build a portfolio that lands analyst and ML engineer roles at analytics-driven companies.
A data science program built for career switchers
Most people joining this program are not CS graduates. They are mechanical engineers, BPO professionals, commerce graduates, and science majors who see data science as their path into tech. This program is designed with that starting point in mind.
The statistics module is taught visually and practically — no proofs, no derivations. The ML module explains why algorithms work before showing you how to run them. By graduation, you have an EDA report, a working ML pipeline, a Power BI dashboard, and an NLP project — exactly the portfolio that data analyst and ML engineer hiring teams look for.
Program at a glance
3 Portfolio Projects That Get You Hired
Each project is built on a real dataset, reviewed by an industry mentor, and documented for GitHub and LinkedIn.
Predictive ML Model — Real Business Dataset
Pandas, Scikit-learn, XGBoost
An end-to-end ML pipeline predicting a real business outcome (churn, fraud, price) with 90%+ accuracy. Full EDA, feature engineering, model tuning, and evaluation report included.
Power BI Dashboard from Raw Data
Power BI, DAX, Python
A fully interactive sales / operations dashboard built from a raw CSV dataset. Includes calculated columns, KPI cards, drill-through pages, and stakeholder-ready storytelling.
NLP Sentiment Analysis Pipeline
BERT, HuggingFace, Streamlit
A production-ready sentiment analysis system for customer reviews. Uses a fine-tuned BERT model and presents results through a Streamlit dashboard with filtering and export.
Full Curriculum — 8 Modules
20 weeks covering the complete data science stack, from Python to deep learning and SQL.
Build the Python foundation every Data Scientist needs. We go well beyond basics — this module teaches you to handle messy, real-world data at scale.
- NumPy arrays, broadcasting, and vectorised operations
- Pandas DataFrames: indexing, groupby, merge, pivot
- Data cleaning: handling nulls, duplicates, outliers
- Working with real datasets (CSV, JSON, Excel, APIs)
- Performance optimisation for large datasets
Tools & Technologies
Core
Data Wrangling
Visualisation
Machine Learning
Deep Learning
NLP
SQL
Upcoming Batches
July 21, 2026
Weekday Batch
Mon–Fri, 7–11 PM IST
6 seats remaining
September 1, 2026
Weekend Batch
Sat–Sun, 10 AM–6 PM IST
14 seats remaining
October 20, 2026
Weekday Batch
Mon–Fri, 7–11 PM IST
20 seats remaining
Pricing & Payment Options
Or pay in 9 equal installments of ₹4,444/month at 0% interest.
- 280+ hours of live instruction
- 3 portfolio projects with mentor review
- Dedicated placement support (6 months)
- 1-year access to all recorded sessions
- Power BI licence guidance
- LearnSynaptic completion certificate
- Alumni Slack community access
EMI Breakdown
Registration fee (upfront)
Adjusted against total
Monthly EMI × 9
0% interest via Razorpay
Processing fee
No hidden charges
From our Data Science graduates
“The Data Science program gave me both the technical skills and the language to talk about data in a way that business stakeholders understand. The Power BI module and the SQL module were directly tested in my Deloitte interview.”
Priya Sharma
BPO Executive → Data Analyst at Deloitte
“Career switch from a non-IT background felt impossible until this program. The statistics module finally made ML algorithms make sense — not as black boxes, but as mathematical tools I could reason about.”
Karan Mehta
Mechanical Engineer → ML Engineer at Fractal Analytics
Join the July 21 batch — your data career starts here.
5 months of structured learning that gives you the portfolio and the language to walk into any data interview.