
Learn Python data analysis using Pandas: visualization, grouping, correlation, dataset merging, and machine learning with Scikit-learn for practical data science skills.

This course is aimed at being a pre-term or a preparatory course for probability and statistics. It is very basic and introduces the students to the understanding of data and measuring associations. It also introduces the concepts of probability and dist…

Master Salesforce administration: data modeling, UI customization, automation, security, and analytics for efficient CRM management and business process optimization.

This course discusses the basic concepts of financial accounting and reporting. The viewpoint is that of readers of financial reports rather than the accountants who prepare them.

The accuracy of forecasting depends upon the goodness of obtained model. What are the steps and checks required to obtain a good model and in turn, how to do forecasting is being aimed to be taught in this course.

Explore everyday phenomena through statistical analysis, revealing hidden patterns in parking, elevators, and sports. Learn how complex systems research uncovers universal principles in daily life.

Explore the fractal nature of armed conflicts, swing voters, and pivotal components in society through complex systems research, revealing hidden patterns and influential factors shaping human behavior.

Explore the evolution of classical music narratives across five centuries, analyzing structural complexity, temporal directionality, and the concept of irreversibility in musical compositions.

Explore the application of conditional degree matrices in musical analysis, focusing on complexity, universal features, and evolutionary perspectives across cultures.

Explore complex systems through statistical physics, examining random walks, lead changes in sports, and data analysis techniques for understanding dynamic processes.

Explore optimal Bayesian learning from complex models, challenging traditional approaches and proposing a new method to maximize expected information while avoiding bias in multiparameter systems.

Explore global pandemics, influenza threats, and the role of mathematical modeling in disease surveillance and control through advanced computing techniques.

Explores limitations of scalp EEG for mind reading, proposes ECoG as superior alternative, and discusses potential for groundbreaking advancements in neuroscience through implantable high-density wireless ECoG systems.

Explore how social media sentiment analysis can accurately measure daily emotional dynamics of online communities, validated through surveys and applied to COVID-19 impact studies.

Explore self-generated learning's radical impact on cognitive development through data-driven insights, experiments, and complex dynamic systems analysis with Linda Smith.

Explore the interplay of skill and luck in shaping life outcomes. Learn to define, measure, and improve skill while managing luck, with examples from sports, entertainment, and business.

Explore team performance in iGEM competition through large-scale analysis, uncovering insights into open science practices and collaborative research dynamics.

Explore how diverse disciplines like sports, biology, and history can enhance decision-making skills, particularly in investing and personal growth.

Explore the intersection of mathematics and art through computational analysis of style in literature, visual arts, and dance, with applications in authentication and quantification of artistic expression.

Explore how computers learn from massive data to perform tasks like spelling correction and translation, rivaling human capabilities through example-based learning.

Explore how big data from everyday technologies can reveal human behavior patterns and societal trends, with applications in global development, health, and socioeconomic analysis.