
Learn essential accounting and finance principles for civil engineers, covering economic decision-making, risk analysis, bidding strategies, and financial management in construction projects.

Comprehensive exploration of probability and statistics concepts, covering fundamental principles, algebraic structures, and advanced topics through 79 detailed lectures.

Explore the wonders of the universe through comprehensive lectures on celestial bodies, cosmic phenomena, and the origins and evolution of our cosmos.

Dive into machine learning fundamentals with engaging videos covering models, data exploration, validation, and advanced concepts like random forests and AutoML.

In this course, we will be learning functions of Management, Demand forecasting, Exercises on Economics, Entrepreneurship and Decision making under Certainty, Risk and Uncertainty.

In this series of videos, Kaggle Data Scientist, Rachael, will walk you through how to use SQL.

Learn to create a GPT-2 model for Python code generation, covering data acquisition, cleaning, preprocessing, tokenization, training, and testing.

Learn R programming and advanced marketing analytics techniques, including consumer behavior, segmentation, pricing, forecasting, and data-driven decision-making for business success.

Comprehensive exploration of probability, random variables, processes, and vibrations in structural dynamics, covering theory and applications in earthquake engineering and system failure analysis.

The main objective of statistics is to work on a small sample of data but provide conclusions for the whole population. Such results cannot be obtained without learning the concepts and tools of theory of probability and statistical inference.

Comprehensive exploration of econometric analysis, covering linear regression, hypothesis testing, STATA applications, and advanced models like logit, probit, and tobit.

Comprehensive exploration of optimization techniques, covering linear and nonlinear programming, integer programming, transportation problems, and multi-objective decision making.

Explore the transformative potential of Big Data across sectors, its key qualities, and societal impact. Gain insights into data growth, digitalization, and value extraction in this thought-provoking lecture.

Explore mathematical tools for understanding complex data, their applications in disease treatment, exam predictions, and advertising, and the limitations of these approaches in real-world scenarios.

Insights on effectively communicating complex statistical data to the public, drawing lessons from pandemic experiences. Explores successes, failures, and challenges in interpreting and presenting statistics during crises.

Explore Nobel Prize-winning neuronal signalling models, including Hodgkin-Huxley and Fitzhugh-Nagumo, to understand how neurons generate and propagate electrical signals vital for bodily communication.

Renowned mathematician Terry Tao explores AI's potential in advancing scientific and mathematical research, followed by a discussion with Po-Shen Loh on the future of AI in academia.

Explore how data shaped our world and its potential to create a better future with economist Tim Harford in this insightful inaugural lecture honoring Vicky Neale's contributions to mathematics education.

Explore financial modeling with Federico Bandi, covering spectral factor models, consumption components, and predictability in stocks and bonds, with insights on aggregation and pricing.

Explore racially targeted disinformation on Twitter during the 2020 Election, challenges in communication with trust and safety teams, and recommendations for increasing racial literacy in computer science.

Explore strategies to reduce healthcare's environmental impact while maintaining quality care, covering topics like surgery waste, life cycle assessment, and sustainable practices in various medical settings.