EdX
Elevate your career in data science by completing the Professional Certificate Program in Data Science and culminate it with our Data Science: Capstone project on edX. This final project will challenge you to apply your knowledge of data visualization, probability, inference, modeling, data wrangling, organization, regression, and machine learning through practical R data analysis tasks.
Coursera
In an unpredictable world, making decisions can be daunting. This course, 'Probability and Statistics: To p or not to p?', equips you with the tools to understand risk, probability, and statistical analysis, empowering you to make informed choices in your personal and professional life. From identifying 'black swan' events to understanding the odds of everyday decisions, this course is designed for those who want to navigate uncertainty with confidence.
EdX
Dive into the fascinating world of probability with MathTrackX's Probability course on edX. This beginner-friendly program will equip you with essential skills in understanding randomness, modeling chance, and making data-driven decisions. Explore discrete random variables, probability distributions, and more to unlock a deeper comprehension of statistical inference.
Coursera
Explore the world of multifactor experiments with our introductory course on Factorial and Fractional Factorial Designs. Designed for those in engineering, science, and business, this course teaches you how to effectively design experiments where multiple factors are varied simultaneously. Master the art of analyzing data using ANOVA and unlock the potential to optimize processes and drive innovation.
Coursera
Dive into the world of Random Models, Nested and Split-Plot Designs with our expert-led online course. Gain a deep understanding of designing and analyzing experiments where factors are chosen at random, including nested factor studies and split-plot designs. Learn modern methods for estimating variability components crucial for assessing measurement systems' capability.
Coursera
Dive into the world of Causal Inference 2, a Coursera course designed to equip you with advanced skills in understanding and analyzing causal relationships using sophisticated statistical methods. This course is perfect for those looking to deepen their knowledge in areas critical to scientific research, healthcare, policy-making, and business strategy.
Coursera
Unlock the secrets of data analysis with 'Data – What It Is, What We Can Do With It' on Coursera. This course will equip you with essential skills in interpreting descriptive statistics, conducting causal analyses, and creating effective visualizations to derive valuable insights from data. Perfect for beginners looking to understand the basics or professionals aiming to refine their analytical skills.
Coursera
Dive deep into the world of statistics with 'What are the Chances? Probability and Uncertainty in Statistics'. This course unravels the complexities of probability theory and its application to statistical analysis, enabling you to confidently measure and communicate uncertainty. From understanding basic probability rules to conducting hypothesis tests and interpreting regression results, this course equips you with essential skills for analyzing data effectively.
EdX
Discover the fundamentals of sample surveys and statistical inference through practical examples in this introductory statistics course from edX. Gain insights into samples vs. populations, identify common survey biases, and understand probability errors in sampling to build a strong foundation for data analysis.