Data Science Bootcamp

It is widely recognized that evidence-based decision-making is essential for achieving high corporate performance. In today’s data-driven world, organizations have access to vast amounts of data, which, if analyzed and interpreted accurately, can serve as a powerful tool for decision-making. However, to truly leverage this potential, companies must ensure they can extract actionable insights from their data. The Data Analysis Techniques training course demonstrates, through practical examples, how to effectively analyze and interpret data to support robust and defensible business decisions.

This course equips participants with the skills to use Microsoft Excel for a broad range of advanced data analysis and interpretation tasks, utilizing real-world data. While many are familiar with Excel, most only scratch the surface of its full capabilities. The training will help participants unlock the power of Excel by teaching them how to use its advanced analytical, visualization, and interpretive features to their fullest potential.

This then tandems into Data-Driven Decision Making (DDDM), which teaches an approach to making choices, setting strategies, and solving problems based on empirical evidence and data. It involves everaging data analytics, statistical analysis, and data visualization techniques to derive insights and inform decision-making processes across various domains and industries.

Decision-making models are structured approaches or frameworks used to systematically analyze and process information in order to make choices or reach conclusions. These models help individuals or groups navigate through complex situations by breaking down the decision-making process into manageable steps.

This course is designed for project engineers, geoscientists, reservoir engineers, production engineers, petroleum engineers, Inspectorate, planning and development analysts, business planners, and managers.