Coursera
Discover the basics of probability and data analysis with our Introduction to Probability and Data with R course. Gain essential skills in exploring data, understanding different types of sampling methods, and applying Bayes' rule. Enhance your knowledge of numeric summary statistics and basic data visualization techniques using R programming language.
Coursera
Dive into the world of Linear Regression and Modeling with our expert-led course. Master the basics and advanced techniques for analyzing relationships between variables in your data sets and predicting continuous outcomes effectively. Gain hands-on experience with R and RStudio to create, examine, and utilize regression models.
Coursera
Dive deep into the history and impact of one of the most significant events in modern times with our 'Understanding 9/11' course. Learn why the 9/11 attacks happened and how they have influenced global security policies and our understanding of terrorism today.
Coursera
Explore the intriguing behaviors and critical conservation needs of our closest living relatives - chimpanzees. This course, led by experts who have lived and worked with these remarkable animals, delves into the pioneering research of Jane Goodall and its impact on our understanding of human evolution.
Coursera
Dive into the advanced concepts of C programming with our 'Pointers, Arrays, and Recursion' course. This specialized module is designed for programmers looking to enhance their skills in handling memory locations (pointers), managing data sets (arrays), and implementing algorithms via self-referential functions (recursion).
Coursera
Discover the power of Inferential Statistics with this engaging Coursera course. Designed for beginners and professionals alike, this program will equip you with essential skills to analyze and interpret data, perform hypothesis tests, and communicate your findings clearly. Dive into practical applications using R and RStudio, free statistical software, and apply these techniques to real-world datasets.
Coursera
Dive into the world of cloud computing with our specialized course on Cloud Virtualization, Containers, and APIs. This course is designed for those looking to master the essential building blocks of cloud technology, including virtual machines, containers, and API integration. Gain insights into designing efficient Cloud-native systems, developing robust Microservices using Flask and Kubernetes, and implementing effective operational strategies.
Coursera
Dive into the world of Cloud Data Engineering with this specialized course designed for those looking to apply advanced data handling techniques at scale. This course builds upon foundational cloud computing knowledge, equipping you with practical skills in developing and deploying data engineering applications on the cloud.
Coursera
Dive into the practical aspects of managing machine learning projects with this specialized course by Duke University's Pratt School of Engineering. This second part of the AI Product Management Specialization covers essential steps from identifying opportunities to deploying and maintaining ML systems. Gain insights into the data science process, model building, and system design.