Description
This course provides a foundational understanding of Data Science, a multidisciplinary field that combines techniques from statistics, mathematics, computer science, and domain knowledge to extract meaningful insights and knowledge from data. Participants will learn essential concepts and practical skills required to tackle real-world data problems and make data-driven decisions. The course covers key topics including data exploration and visualization, statistical analysis, machine learning algorithms, and data storytelling. Through hands-on projects and case studies, participants will gain proficiency in using popular tools and programming languages such as Python and R for data manipulation, analysis, and visualization.
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