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Market Growth (2020–2030)
AI adoption accelerating
Become industry-ready with Statistics, Supervised & Unsupervised ML, Feature Engineering, Model Evaluation, and Deployments. Build portfolio projects and earn a QR-verified certificate.
Curriculum includes Python (Pandas/NumPy), EDA & Data Visualization, Scikit-learn, XGBoost, basic Deep Learning, ML pipelines, MLOps fundamentals, and CI/CD best practices.
Data Science fuels products, operations, and strategy. Build Python/SQL/ML skills with mentor-led projects and recruiter-ready outcomes.
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Market Growth (2020–2030)
Job Vacancies in India
Data Science Freshers’ Average Salary
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India’s Global Market Share
Master dashboards, experimentation, and ML pipelines-target roles like Data Analyst, Data Scientist, and ML Engineer.
*Figures are indicative and vary by location, skills, and industry.
From EDA & feature engineering to model development and MLOps, this masterclass focuses on deployable skills. You’ll ship APIs, dashboards, and reproducible experiments that translate to interviews and on-the-job success.
Keywords: data science training, machine learning course, deep learning with TensorFlow, feature engineering, model deployment, MLOps pipeline, ML monitoring, cloud AI solutions, Python data analysis.
A 200+ hour, industry-aligned journey from SQL and Excel to BI (Power BI/Tableau), Python foundations, Statistics, ML with Python, R, and domain projects.
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*Module order may vary slightly by cohort and instructor discretion to maximize learning outcomes.
Learn from anywhere. Your journey to a Data Science career starts here.
Apply advanced techniques to solve real business challenges. Build a recruiter-ready portfolio with clean code, clear storytelling, and measurable impact.
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Forecast equipment failures from sensor streams to reduce downtime and maintenance cost.
Mine customer feedback to quantify sentiment and surface actionable themes at scale.
Build robust time-series forecasts for equities with backtesting and risk-aware metrics.
Predict churn and prioritize campaigns using uplift models for incremental impact.
Detect low-quality or defective product images to automate content standards.
Deliver personalized recommendations with evaluation beyond accuracy (coverage, novelty).
These industry-aligned projects emphasize reproducible pipelines, evaluation, and clear communication-ideal for Data Scientist, ML Engineer, and Analytics roles.
*Scope may vary by dataset, domain, and pace.
Authentic reviews from our Advanced Data Science & Machine Learning cohort—highlighting MLOps, model deployment, drift monitoring, and job outcomes.
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Read independent reviews of our Data Science and ML masterclass. Alumni highlight MLOps, deployment, monitoring, and job placements.
The demand for skilled data professionals is skyrocketing. Our program prepares you for high-impact roles with top-tier companies, offering comprehensive placement support and portfolio building.
Data Science roles are among the fastest-growing globally with competitive salaries.
From Analyst to ML Engineer, unlock a wide range of career paths.
Average Salary Hike
55%
Placement Success
92%
Our Graduates Work At Leading Companies
This program is meticulously designed to cater to learners from diverse backgrounds, ensuring a smooth transition into the world of Data Science and AI.
B.Tech, BCA, BSc, or Commerce grads looking to start a high-paying career in Data Science & AI.
Programmers wanting to switch from web/app dev to Machine Learning and AI engineering.
Analysts aiming to upgrade from Excel/SQL to Python, ML, and advanced predictive modeling.
Professionals from Sales, Marketing, or Finance seeking to pivot into the booming data industry.
Individuals looking to restart their career with a future-proof skill set in Data Science.
Join hundreds of successful graduates who have transitioned into high-paying Data Science roles. Start your journey today.
Everything you need to know about our Advanced Data Science & Machine Learning Masterclass—admissions, curriculum, schedule, portfolio, and placement support.
Basic Python is helpful but not mandatory. We start with foundations and ramp up to ML, DL, and deployment with guided, hands-on projects.
The masterclass runs for ~200 hours, including live sessions, labs, capstone projects, and interview preparation.
Yes. You’ll get resume revamps, ATS keyword mapping, mock interviews, portfolio reviews, and targeted referrals through our network.
Python, pandas/Polars, scikit-learn, TensorFlow/Keras, MLflow/DVC, FastAPI, Docker, and cloud patterns on AWS/GCP/Azure.
Absolutely. Each module ends with a deployable artifact-APIs, dashboards, notebooks, and experiment reports-to showcase in interviews.
Yes. We offer flexible schedules, mentor support, and recorded sessions so you can learn at your pace without missing milestones.
Still have questions?
Find answers about prerequisites, duration, job assistance, tools covered, portfolio outcomes, and flexible schedules for the Data Science & Machine Learning program.
Enroll today and get 100% job assistance, mentor-led projects, and a verifiable global certificate.
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