Angola Embraces Advanced Data Analysis in Agriculture and Fisheries with Training on Data Processing and Analysis Tools

In a significant step towards enhancing agricultural and rural statistics, a training workshop focusing on data processing and analysis was recently concluded in Luanda. Organized from November 6 to 10, 2023, under the Global Strategy for the Improvement of Agricultural and Rural Statistics (GSARSII), the event marked a pivotal moment in Angola's efforts to adopt modern statistical methods for sustainable agricultural production used for policymaking in rural development. 

The training aimed to empower the National Statistical Systems (NSS) with tools and knowledge for quality data analysis. This approach aligns with GSARS's emphasis on cost-effective statistical collection and analysis methods necessary for timely decision-making in agricultural and rural sectors. 

The workshop drew participants from the National Statistics Office, Ministry of Agriculture and Forestry, and Ministry of Fisheries, with a commendable gender representation, including five women among the 12 attendees. Tailored to provide a solid foundation in R programming, the training covered various aspects, from basic operations and data structures to advanced techniques in univariate and bivariate statistics and the use of popular R packages like tidyverse and ggplot2. 

Trainer Dr. Marcel Vieira emphasized the relevance of such training for current and future data challenges in agriculture and fisheries statistics. The feedback was overwhelmingly positive, with most participants acknowledging the new insights gained and their applicability in their respective roles. The hands-on approach, involving presentations, individual exercises, and case studies, facilitated practical learning and immediate application of skills. 

The training's success was evident in the participants' responses, with a majority recommending it to colleagues and expressing confidence in integrating R software into their work routines. This sentiment was reflected in their suggestions for more extensive training, highlighting the need for continuous learning in this evolving field. 

As Angola steps into a future where data-driven strategies are crucial for agricultural and rural development, this workshop represents a significant stride in building the necessary expertise. With plans to complete further modules, there is an optimistic outlook for the consolidation and expansion of these crucial skills among Angolan statisticians.