Coursera
Embark on a journey to sharpen your mind with 'Mindware: Critical Thinking for the Information Age'. This course equips you with essential concepts from statistics, probability, scientific methodology, cognitive psychology, and cost-benefit theory. Learn how to apply these critical thinking skills in business, media analysis, and everyday decision-making.
Coursera
Discover the secrets to understanding and leveraging 'megatrends' that shape today's business landscape. This course will equip you with essential data analytics tools and skills to analyze challenges and opportunities, ensuring your organization stays ahead of the curve. Perfect for professionals looking to make informed decisions based on data insights.
Coursera
Discover the essentials of data analysis and visualization with our comprehensive Python-based course. Learn about statistics, study design, data exploration, and effective data presentation techniques to gain valuable insights from your datasets.
Coursera
Discover the power of Python in understanding data through inferential statistics. This course will guide you from basic principles to advanced techniques for analyzing both categorical and quantitative data, comparing populations, constructing confidence intervals, and testing theories using sample data. Perfect for beginners and professionals alike who want to harness the potential of statistical analysis with Python.
Coursera
Dive into the world of data analysis with 'Statistics with SAS' – a beginner-friendly course designed for those using SAS software. Gain expertise in performing statistical analyses including t-tests, ANOVA, and linear regression, plus a brief introduction to logistic regression.
Coursera
Dive into a Master’s-level exploration of causal inference with this rigorous mathematical survey course on Coursera. Gain essential insights into the statistical methods used to make informed decisions about causation across various fields such as science, medicine, policy, and business.
Coursera
Dive into the world of Bayesian Statistics with 'Bayesian Statistics: Mixture Models' on Coursera. This comprehensive course is designed to equip you with an in-depth understanding of mixture models, a powerful tool for analyzing complex data structures. Through engaging video lectures, interactive quizzes, and hands-on assignments, you'll explore real-world applications and develop the skills needed to tackle sophisticated statistical problems.
Coursera
Dive into the essential mathematics behind one of the most popular dimensionality reduction techniques in machine learning: Principal Component Analysis (PCA). This comprehensive course is designed for those with an intermediate understanding of statistics and linear algebra, aiming to equip you with the skills needed to apply PCA effectively in your data science projects. By the end of this course, you'll have a solid grasp on how to minimize reconstruction error and extract meaningful patterns from high-dimensional datasets.
Coursera
Discover the essential elements of statistical analysis and data interpretation tailored specifically for public health professionals. This course provides a solid foundation in understanding key concepts such as types of variables, common distributions, and hypothesis testing. By the end of this program, you'll be able to analyze new datasets, identify their main characteristics, perform basic analyses, and formulate and test hypotheses based on means and proportions.