End-to-end ML workflow from statistical foundations to model deployment on cloud. Updated with AutoML, explainable AI (XAI), and MLflow-based experiment tracking.
This Data Science & Machine Learning course is designed for learners across India who want practical, job-focused training in Regression, Classification, Clustering, XGBoost. Averra combines live guidance, structured lessons, labs, assessments, and counseling so you can move from fundamentals to portfolio-ready skills.
Clear fitment for students, graduates, and professionals choosing a Data or AI learning path.
Core outcomes and practical skills covered across this course.
8 focused modules with 16 hands-on lab areas and 4 updated 2025/26 topic markers.
3 lectures covering Linear Algebra for ML, Probability for ML, Statistical Inference
3 lectures covering Data Preprocessing Pipeline, Feature Engineering, Feature Selection
3 lectures covering Linear & Polynomial Regression, Ridge, Lasso & ElasticNet, Decision Trees & Ensemble Regression
4 lectures covering Logistic Regression, SVM & Naive Bayes, Random Forest & Gradient Boosting
3 lectures covering K-Means & Hierarchical Clustering, Dimensionality Reduction, Anomaly Detection
4 lectures covering Time Series Forecasting, NLP Fundamentals, Neural Networks & Deep Learning Intro
2 lectures covering Explainable AI (XAI), Bias, Fairness & Ethics in ML
3 lectures covering MLflow for Experiment Tracking, Serving Models with FastAPI, Capstone: ML End-to-End Project
Averra Data, Pirangut
Averra Data provides course counseling and online training support for learners across India. Share your background, preferred schedule, and career goal, and our team will help you choose the right Data, Analytics, AI, Python, SQL, Governance, or Cloud path.
Explore connected courses that build naturally from this learning path.
Answers to common questions about fitment, tools, certification and enrollment.
Data Science & Machine Learning is suitable for professionals who already know the basics and want deeper practical skills, learners preparing for portfolio projects, interviews, and applied workplace use, analysts, engineers, and managers who need advanced implementation and governance depth.
The course covers Regression, Classification, Clustering, XGBoost, Model Evaluation with practical exposure to NumPy, TensorFlow, Docker.
Included after completing the required learning activities, labs, and assessments.
This path can support preparation for roles such as Data Scientist, Machine Learning Engineer, ML Analyst and related data or AI positions.
Use the Enroll Now or Book Counseling option to share your details. The Averra team will confirm the right batch, schedule, and next steps.