How to Describe Data examines the use of data in our everyday lives, giving you the ability to assess the usefulness and relevance of the information you encounter. In this course, learn about uncertainty’s role in measurements and how you can develop a critical eye toward evaluating statistical information in places like headlines, advertisements, and research. You’ll learn … [Read more...] about How to Describe Data
Probability and Statistics
Statistical Learning
This course offers a deep dive into the world of statistical analysis, equipping learners with cutting-edge techniques to understand and interpret data effectively. We explore a range of methodologies, from regression and classification to advanced approaches like kernel methods and support vector machines, all designed to enhance your data analysis skills. Our journey is … [Read more...] about Statistical Learning
Random Processes
Probability and statistics provide an excellent tool for understanding, modeling and communicating uncertainty in engineering systems. In many applications there is the added challenge of considering random quantities that vary over time and/or space. Examples can be found in seismic applications, financial markets, heterogeneous materials, and image processing, among many … [Read more...] about Random Processes
Statistics and Calculus Methods for Data Analysis
This program focuses on the practical application of essential mathematical, statistical, and analytical techniques vital for advanced data science studies. Learn to calculate expected values, understand the normal distribution, perform derivative calculations, and solve complex integrals, all demonstrated with Python. Start with the concept of expected values and explore their … [Read more...] about Statistics and Calculus Methods for Data Analysis
Foundations of Probability and Statistics
In this three-course Specialization, you’ll build a strong mathematical foundation in probability, statistics, and basic stochastic processes, with direct applications to data science and artificial intelligence. You’ll begin by mastering the fundamentals of probability, learning to quantify uncertainty, work with random variables, and apply the Central Limit Theorem. Next, … [Read more...] about Foundations of Probability and Statistics
