Master Python, R, SQL, machine learning, data visualization, and statistical analysis. Transform raw data into actionable business insights.
Data is the new oil. Turn data into insights that drive million-dollar business decisions.
Sexiest job of the 21st century
Average $100K+ per year
Finance, healthcare, tech & more
Drive strategic decisions
Our data science program teaches you to extract insights from data, build predictive models, and communicate findings. Learn from data scientists working at leading companies.
Master Python, R, SQL, Tableau, machine learning algorithms, statistical analysis, and data visualization. Build projects including customer segmentation, predictive analytics, and recommendation systems.
Whether targeting data scientist, data analyst, or machine learning engineer roles, gain hands-on experience solving real business problems with data.
Comprehensive data science training covering programming, statistics, machine learning, and visualization.
From Python fundamentals to deploying machine learning models in production.
Python programming, data structures, SQL fundamentals, database design, Pandas, NumPy, data manipulation, exploratory data analysis.
Descriptive statistics, probability distributions, hypothesis testing, confidence intervals, A/B testing, statistical inference, R programming basics.
Matplotlib, Seaborn, Plotly, Tableau dashboards, Power BI, exploratory data analysis techniques, storytelling with data, visual design principles.
Supervised & unsupervised learning, regression, classification, decision trees, random forests, clustering, model evaluation, cross-validation, feature engineering.
Gradient boosting (XGBoost, LightGBM), neural networks intro, NLP basics, recommendation systems, time series forecasting, ensemble methods.
End-to-end data science project, model deployment, APIs, cloud platforms, MLOps basics, portfolio building, presenting findings to stakeholders.
