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Data Science Advanced Live Classes

PGP in Data Science

Elite 12-month postgraduate program that transforms you into a job-ready, end-to-end data scientist with 6 capstones, 1:1 mentorship and dedicated placement support.

4.9 480 enrolled 12 months · 520+ live learning hours Certificate
Overview
Curriculum
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Program Overview

A flagship postgraduate program engineered for professionals targeting senior data science roles. Across 12 months and 520+ live mentor-led hours you progress from mathematical foundations to production machine learning, deep learning, big-data engineering and MLOps. The curriculum is delivered through 14 rigorous modules, 6 portfolio-grade capstone projects, weekly 1:1 mentorship, mock interviews and dedicated career and placement support, plus a premium complimentary software stack worth thousands of dollars.

What you'll learn

  • Master Python, SQL and advanced statistics for rigorous data analysis
  • Build, tune and evaluate production machine learning and deep learning models
  • Engineer scalable data pipelines and feature stores with Spark and Airflow
  • Deploy, monitor and govern models in production with full MLOps tooling
  • Communicate insight to executives through storytelling and dashboards
  • Lead end-to-end data science projects from problem framing to business impact

Tools you'll use

PythonPandasscikit-learnPyTorchTensorFlowSQLApache SparkAirflowDockerAWS SageMakerPower BIMLflow

Hands-on Projects

  • Retail demand forecasting engine (time series)
  • Customer churn prediction and retention model
  • Real-time fraud detection pipeline
  • NLP document intelligence system
  • End-to-end MLOps deployment on cloud
  • Executive analytics dashboard with A/B test analysis

Career Outcomes

Data ScientistSenior Data ScientistMachine Learning EngineerData Science LeadApplied Scientist

Complimentary software included

Enroll in this course and get these professional tools free — licenses and access are provided as part of the program, at no extra cost.

AWS SageMaker Credits Cloud ML

Managed cloud credits to train and deploy models at scale.

Anaconda Enterprise Data Platform

Full Python and data science distribution.

Databricks (Trial) Big Data

Unified Spark analytics and lakehouse platform.

MLflow MLOps

Track experiments, models and deployments.

Power BI Pro BI Tool

Build and share executive dashboards.

JetBrains DataSpell IDE

Professional IDE for data science.

Curriculum

Data Science Foundations & Python
  • Python for data science
  • NumPy and Pandas
  • Environments, Git and reproducibility
Mathematics & Statistics for ML
  • Linear algebra
  • Calculus for optimization
  • Probability and distributions
  • Hypothesis testing
Data Wrangling & SQL
  • Advanced SQL
  • Data cleaning
  • ETL fundamentals
  • Feature engineering
Exploratory Data Analysis & Visualization
  • EDA techniques
  • Matplotlib and Seaborn
  • Dashboarding and storytelling
Supervised Machine Learning
  • Regression
  • Classification
  • Trees and ensembles
  • Model evaluation
Unsupervised Learning
  • Clustering
  • Dimensionality reduction
  • Anomaly detection
Deep Learning
  • Neural networks and backprop
  • CNNs
  • RNNs
  • PyTorch and TensorFlow
Natural Language Processing
  • Text processing
  • Embeddings
  • Transformers
  • LLM basics
Big Data Engineering
  • Apache Spark
  • Distributed computing
  • Data lakes and warehouses
Data Pipelines & Orchestration
  • Airflow
  • dbt
  • Streaming
  • Data quality
MLOps & Model Deployment
  • Docker
  • CI/CD for ML
  • Model serving
  • Monitoring and drift
Cloud for Data Science
  • AWS and Azure ML services
  • Scalable training
  • Cost optimization
Business Analytics & Experimentation
  • A/B testing
  • Causal inference
  • Metrics design
Capstone & Career Readiness
  • Capstone projects
  • Portfolio review
  • Interview prep
  • Placement support

Dr. Priya Nair

Lead Data Scientist, ex-FAANG

10+ years building ML systems at scale, mentor to 2,000+ learners.

Certificate

Industry-recognized PGP in Data Science certificate, capstone portfolio review and a verifiable digital credential.

Who is this program for?

Working professionals and graduates targeting senior data science roles who want an end-to-end, mentor-led path with placement support.

Is there placement support?

Yes. Dedicated career coaching, resume and portfolio reviews, mock interviews and hiring-partner referrals are included.

Do I need prior experience?

A basic programming or quantitative background helps, but the program covers foundations before advancing to expert topics.

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