Greetings MARMAM, As the accumulation of data for research, monitoring, and mitigation of marine mammals has increased dramatically in recent years, the need for analytical tools and methods to efficiently extract meaningful data products from this information has also increased. Passive acoustic data is a well-established tool used to study marine mammals, often resulting in months of data that can be tedious to review for vocal activity from a range of species. Additionally, the collection of marine mammal observations and associated environmental data requires programmatic approaches to data management, analysis, and visualization. Ocean Science Analytics addresses the need for efficient processing of ocean science data via our online technical training courses, *PAM: Large Acoustic Datasets* and *R for Ocean Science Data Analysis*. The summer training session for the PAM course will be in *June*, and for the R course will be in *August*. Each course is accredited by the Institute of Marine Engineering, Science & Technology (IMarEST <https://www.imarest.org/membership/education-careers/imarest-recognised-cpd-courses/cpd-courses/5641-ocean-science-analytics>), and is offered in an online, flexible format. Courses include a combination of guided videos, instructional materials, and scaffolded activities intended to provide you with a hands-on software experience. *PAM: Large Dataset Analysis*: Passive acoustic monitoring (PAM) is commonly used to support biological monitoring and mitigation in marine environments. Reductions in the cost of equipment and data storage lead to the collection of huge volumes of data. This course provides acousticians with a workflow for processing data using a combination of PAMGuard and acoustic packages based in R programming language. The course starts with the semi-automated approach to dataset annotation using a combination of machine learning algorithms, and post-automation grouping of calls within PAMGuard. Once data are annotated in the binary and database format used by PAMGuard, we extract measurement and from the R package ‘PAMpal’ to format, query and visualize the annotated data. *R for Ocean Science Data Analysis**:* Marine mammal observation data (visual or acoustic) is frequently evaluated in association with environmental data. Understanding the relationship between marine mammals and environmental conditions serves a wide range of purposes from evaluating the effects of climate change on cetaceans to establishing marine protected areas. With the procurement of large datasets comes the need for efficient and effective data management and processing tools. R programming language is a free, open-source tool that can be used for a wide range of ocean science data needs, including data wrangling, visualization, and analysis. This course provides participants with a context-specific background to R using oceanographic data throughout the course materials. This course is designed for novice R learners interested in developing intermediate skills in ocean science data analysis. Details regarding each of the courses, including a list of course topics and registration can be found on Technical Training <https://www.oceanscienceanalytics.com/technical-training> page. Courses are online and asynchronous, but *SPACE IS LIMITED* as we provide our support and feedback along the way! Register today to secure your space by visiting the course page you are interested in. You can join any day in the training session month and receive 30 days of access from the time of purchase. Ocean Science Analytics (OSA) is an ocean science research and online technical training company headquartered in San Diego, CA. We use our expertise in technology-based analytical methods and software tools to monitor and assess oceanic and coastal ecosystems for conservation and management purposes and provide technology-centered training to a broad audience. We are excited to partner with Jennifer Pettis Schallert of BioSci <https://www.biosci.science/> to bring you the R for Ocean Science Data Analysis course! For questions or more information, feel free to contact Liz Ferguson via eferguson@oceanscienceanalytics.com. Liz Ferguson *CEO and Founder* *Ocean Science Analytics* *www.oceanscienceanalytics.com <http://www.oceanscienceanalytics.com>*