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A hands-on introduction to the interplay between statistics and computation for the analysis of real data. -- Part of the MITx MicroMasters program in Statistics and Data Science.
Develop a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing and prediction. -- Part of the MITx MicroMasters program in Statistics and Data Science.
An in-depth introduction to time series analysis, from learning structured models to predictions and reinforcement learning, with hands-on projects - Part of the MITx MicroMasters program in Statistics and Data Science.
An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. -- Part of the MITx MicroMasters program in Statistics and Data Science.
Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference -- Part of the MITx MicroMasters program in Statistics and Data Science.
Master core supply chain methodologies—statistics, regression, optimization, and probability—to model uncertainty, drive data-driven decisions, and solve complex planning problems. Part of MITx MicroMasters.
Explore supply chain network optimization, financial frameworks, and supplier management strategies to enhance business performance, part of the MITx MicroMasters in Supply Chain Management.
Master supply chain dynamics by analyzing complexity, building System Dynamics models, assessing global risks, and designing strategies that balance efficiency, flexibility, and resilience.
Master the fundamentals of logistics and supply chain management, covering uncertainty, forecasting, inventory policies, and transportation routing from both analytical and practical perspectives.
Explore supply chain technology from data analysis and SQL to Machine Learning and enterprise systems like ERP, WMS, and TMS, part of the MITx Supply Chain Management MicroMasters.
Explore data science principles, electronic health records analysis, and AI/ML applications to improve population health through collaborative healthcare analytics.
Explore advanced economic theories and methods to analyze policy issues from digital transformation to inequality, covering public finance, market design, and behavioral economics.
Master wavefunctions, Schrödinger equation solutions, and quantum scattering while exploring one-dimensional potentials, angular momentum, and the hydrogen atom structure.
Explore scientific principles and technologies for creating comfortable, energy-efficient indoor environments while minimizing climate impact through sustainable design strategies.
Master potential flow theory and boundary layer analysis for high Reynolds number flows, exploring vorticity, circulation, lift, and turbulence transition.
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