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 Supply Chain Analytics - a transformative approach to managing supply chains using data-driven strategies. This course will equip you with essential tools and skills to diagnose and optimize supply chain operations, ensuring both cost-effectiveness and high levels of customer satisfaction.
Coursera
Discover how to effectively process, store, and analyze data using Microsoft Azure's powerful platform. This course is tailored for those looking to enhance their understanding of big data analytics and improve their ability to make strategic business decisions. Learn the fundamentals of big data, along with practical applications using Python, R, and Apache Spark.
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
Embark on a problem-solving adventure with our Data Analysis and Representation course. This is the second part of a specialization that combines computational thinking with introductory C programming. Dive deep into understanding how to represent data effectively, make informed selections, and iterate through complex problems. Perfect for beginners looking to build a strong foundation in data analysis and programming.
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.
Coursera
Dive into the world of Survival Analysis in Public Health with our expert-led online course. Gain a deep understanding of time-to-event analysis using R, learn about unique terms like hazard and censoring, and apply your skills through practical data analysis exercises. Perfect for public health professionals looking to enhance their analytical capabilities.
Coursera
Dive into the world of data analysis with 'Exploratory Data Analysis with MATLAB'. This course is designed for those who want to learn how to explore, analyze, and interpret data using MATLAB. By the end of this course, you'll be able to think like a data scientist, use interactive features in MATLAB to extract subsets and compute statistics, generate code automatically, and effectively communicate your analysis through live scripts.
Coursera
Dive into the fascinating world of health informatics with our Data Science of Health Informatics course. Gain expertise in handling complex health datasets, understanding their nuances, and applying them to improve patient care, conduct impactful research, ensure quality standards, and drive innovation in healthcare technology.