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Intermediate to Advanced
16 Weeks Cohort6 Detailed Modules

Data Science & Machine Learning Masterclass

End-to-end data analytics, statistical modeling, machine learning pipelines, deep learning, and generative AI using Python.

16 Weeks Intensive
Language: English / Hindi
Verifiable Course Certificate
Data Science & Machine Learning Masterclass
Certified Track
SOFTLAB GLOBAL16 Weeks
Total Tuition Fee
₹60,000inclusive
Delivery Format:Classroom & Hybrid
Batch Capacity:Limited (30 learners)
Campus Location:Civil Lines, Prayagraj

Direct counseling & campus tours available Mon–Sat.

Course Overview & Objectives

Hands-on data science program featuring NumPy, Pandas, Scikit-Learn, PyTorch, Model Deployment, and real-world predictive AI systems.

Complete Course Curriculum

6 Comprehensive Modules • Step-by-Step Hands-on Labs & Projects

Job-Ready 2026
Module 1

Data Science Foundations, Python & Advanced Pandas

3 Learning Units
Data Science Lifecycle & Anaconda Environment
Python Data Structures, NumPy Arrays & Vectorization
Data Wrangling, Imputation & Feature Engineering with Pandas
Module 2

Exploratory Data Analysis & Statistical Storytelling

3 Learning Units
Descriptive & Inferential Statistics for Data Science
Data Visualization with Matplotlib, Seaborn & Plotly
Hypothesis Testing, A/B Testing & Correlation Analysis
Module 3

Machine Learning Algorithms & Predictive Analytics

3 Learning Units
Supervised Learning: Linear & Logistic Regression
Decision Trees, Random Forests, XGBoost & LightGBM
Unsupervised Clustering: K-Means, PCA & Dimensionality Reduction
Module 4

Deep Learning, Neural Networks & PyTorch

3 Learning Units
Neural Network Architecture & Backpropagation in PyTorch
Convolutional Neural Networks (CNN) for Image Recognition
Recurrent Networks (RNN, LSTM) for Time-Series Analysis
Module 5

Generative AI, Large Language Models & MLOps

3 Learning Units
Transformers, HuggingFace & Tokenization Mechanics
Prompt Engineering, LangChain & Retrieval-Augmented Generation (RAG)
Model Serving with FastAPI, Docker & Cloud Deployment
Module 6

Enterprise Machine Learning Capstone Defense

3 Learning Units
End-to-End Predictive Maintenance / Credit Scoring Model
CI/CD Pipeline for Continuous Machine Learning Training
Final Project Code Review & Executive Presentation

Eligibility & Recommended Prerequisites

Target Learners:

Basic programming background or Mathematics / Statistics foundation

Faculty & Mentors

View All Faculty
MG

Mr. Mayur Gaur

Faculty / Trainer • 11+ Years Experience

Technology Leader & Entrepreneur with 11+ years leading hands-on technical curriculum across SOFTLAB GLOBAL programs.

Global University Certification (USA)

Dual Credential Option

Upon program completion, learners can opt to receive co-branded, globally verifiable credentials from Delaware Digital University (USA), registered under the State of Delaware Department of State (Reg #7349298, Dover, USA).

International TVET Skill Transcript
Worldwide Online Employer Verification
Direct Online Admission
Razorpay Verified
Institutional Tuition Fee
₹60,000All-Inclusive

Or reserve your seat for just ₹5,000 with flexible EMIs.

Instant seat allotment & batch placement
Official Fee Receipt & GST invoice provided
100% Money-back guarantee before batch start
PCI-DSS Level 1 SecureCredit / Debit / UPI / EMI
Official Course Flyer
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Data Science & Machine Learning Masterclass Official Brochure
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Official Curriculum & Career Flyer

Detailed 2026 syllabus, hands-on lab schedule, industry projects, and corporate placement partners.

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Leave your details and our senior counselor will call you to discuss syllabus, batch timings, workstation prerequisites, and eligibility.

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What You Receive

  • Complete hands-on curriculum with guided repository codebases
  • Personalized feedback & architectural code reviews on assignments
  • Cryptographically verifiable certificate on completion
  • Structured technical interview & resume preparation

Have Questions?

Visit our campus in Civil Lines or speak directly with an academic counselor to review course syllabus and schedules.