GOVERNMENT-CERTIFIED COURSE
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Certified Data Science & Machine Learning Professional (SDT-DSML)
Covers the end-to-end machine learning workflow — from data preparation to model deployment basics — the fastest-growing BSc career pathway. Tools & Platforms: Python, Pandas, Scikit-learn, Jupyter Notebook
₹40,000
₹32,000
Save ₹8,000
6 Months
Duration
Live +
Recorded
Max 30
Students
Govt.
Certified
Empowering learners with AI skills
to build a smarter tomorrow.
to build a smarter tomorrow.
Learning Outcomes
- Clean, explore, and prepare real-world datasets for modelling
- Build and evaluate regression, classification, and clustering models
- Deploy a simple ML model as a working demo application
Course Objectives
- Build practical fluency across the end-to-end machine learning workflow
- Develop the ability to select, train, and evaluate appropriate ML models for a given problem
- Understand the basics of deploying a model as a usable demo/application
Applications in Industry
- Data analyst and junior data scientist entry-level roles
- Predictive analytics support in marketing, finance, and operations teams
- Foundation for postgraduate study or certification in AI/ML
Course Content — Modules
- Data science workflow overview: problem framing to deployment
- Python refresher for data science (Pandas, NumPy basics)
- Data cleaning and exploratory data analysis (EDA)
- Statistics refresher: distributions, correlation, hypothesis testing
- Introduction to supervised vs unsupervised learning
- Foundations Recap & Concept Check
- Regression models: linear and logistic regression
- Classification models: decision trees, random forest, KNN
- Clustering basics: k-means and use cases
- Model evaluation: accuracy, precision/recall, confusion matrix, cross-validation
- Feature engineering and handling missing/imbalanced data
- Introduction to model deployment concepts (APIs, basic Flask/Streamlit demo)
- Skill Consolidation Workshop
- Applied Mini-Exercise / Practice Lab
- Case Study: Customer churn prediction for a subscription business
- Case Study: Sales forecasting using regression models
- Case Study: Customer segmentation using clustering
- Capstone Kickoff & Problem Scoping
- Capstone Development — Core Build (Certified Data Science & Machine Learning Professional)
- Capstone Review & Mentor Feedback
- Capstone Finalisation & Presentation
- Resume, Portfolio & LinkedIn Refresh
- Mock Interview Rounds & Feedback
- Capstone Presentation — Mock Panel Pitch
No certificate samples available yet.
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Course Delivery Format
Duration6 months (100 hours total)
ModeOnline Live Classes + Recorded Lectures
ScheduleWeekend & Weekday Evening Batches
Batch SizeMaximum 30 students
Prerequisites
- Laptop/Desktop with stable internet connection
- Basic English proficiency
- Willingness to dedicate 4–5 hours weekly
- No prior technical knowledge required
Investment & Scholarships
Course Fee
₹40,000
₹32,000
EMI OptionsAvailable
ScholarshipsMerit-based & Need-based
Early Bird15% Discount
Certification
- Course Completion Certificate
- Industry-recognized certifications
- LinkedIn badge
- Project completion certificates
Placement Support
- Resume building & LinkedIn optimization
- Mock interviews & soft skills training
- Access to job portal with 200+ partners
- Networking sessions with industry professionals
- Lifetime placement assistance
Learning Support
- 24/7 access to recorded lectures
- Doubt clearing sessions twice weekly
- Dedicated mentor support
- Peer learning community
- Monthly industry expert guest lectures