EdX
Discover the intersection of computing and mathematics with 'Computing for Data Analysis'. This hands-on course offers a practical introduction to basic programming principles crucial for contemporary data analysis, data mining, and machine learning. Dive into the entire data analysis pipeline from collection to interactive visualization.
Coursera
Discover the essential probability and statistical principles employed in basic data analysis through our beginner-friendly Mathematical Biostatistics Boot Camp 1. Designed for those with a strong foundation in calculus, this course offers an introductory approach to these critical concepts. A bit of linear algebra and programming knowledge will enhance your learning experience but are not prerequisites.
Coursera
Dive into the world of healthcare informatics with our interactive, graduate-level course. Explore essential tools and techniques in a practical setting, brought to life through technology-enabled educational innovations. Join an online learning community and build a vital network as you master the skills needed for modern healthcare.
Coursera
Dive into the world of biostatistics with 'Mathematical Biostatistics Boot Camp 2'. This course is designed to equip you with essential skills in data analysis and statistical inference, specifically focusing on one and two independent samples. Whether you're a healthcare professional, researcher, or student, this program will enhance your understanding of key concepts that are crucial for making informed decisions based on data.
Coursera
Dive into the world of Structural Equation Modeling (SEM), a powerful statistical tool that bridges the gap between theory and empirical data analysis across diverse disciplines. This course will guide you through understanding SEM's principles, applying it in real-world scenarios, and leveraging its capabilities to explore intricate relationships among variables. Whether you're in sociology, psychology, education, economics, management, or marketing research, this course equips you with the skills to analyze complex systems and make informed decisions based on robust data.
Coursera
Dive into the world of Python and iPython with our specialized course designed for genomic data scientists. This course, part of the Genomic Big Data Science Specialization from Johns Hopkins University, will equip you with the necessary programming skills to analyze complex genetic information effectively.
Coursera
Dive into the world of genomics with 'Statistics for Genomic Data Science'. This course, part of Johns Hopkins University's Genomic Big Data Science Specialization, offers an in-depth exploration of the statistical principles that underpin genomic data analysis. Whether you're a budding bioinformatician or looking to enhance your understanding of genetic data science, this course provides essential knowledge and practical skills.
Coursera
Dive into the world of genomic data analysis with 'Bioconductor for Genomic Data Science'. This course, part of Johns Hopkins University's Genomic Big Data Specialization, equips you with essential skills to leverage Bioconductor tools effectively. Whether you're a researcher, biostatistician, or working in genomics, this course will empower your ability to analyze and interpret genomic data.
Coursera
Explore the world of Functional Magnetic Resonance Imaging (fMRI) in our introductory course designed for psychologists, statisticians, neuroscientists, and other professionals interested in understanding the human mind and brain. Gain insights into MR Physics, K Space, experimental design, data acquisition, analysis, and psychological inference.