Statistics 1 Part 1: Introductory statistics, probability and estimation

The London School of Economics And Political Science, located in England, is a world-leading institution for social, economic, and political knowledge. You'll find that its central London location and global alumni network make it a unique hub for academic and professional development in the social sciences. For instance, its close ties to governments, international organizations, and the private sector provide opportunities for you to engage with influential research and thought leadership.

LSE focuses on disciplines such as economics, international relations, law, sociology, finance, and public policy, with 11 programs available. Specifically, you can explore fields like economics and international relations in depth, and benefit from the school's research expertise in these areas. You'll also have access to a broad range of undergraduate, postgraduate, and executive education programs, covering many aspects of the social sciences.

As a student, you'll be based in the heart of London, with all the benefits that come with it. You'll have access to a unique hub of academic and professional development, with opportunities to engage with global policy and public debate. For example, you can take advantage of the school's location to attend seminars, workshops, and events that bring together leading thinkers and practitioners in your field. This will help you build a strong network of contacts and stay up-to-date with the latest developments in your area of interest.

The Statistics 1 Part 1 program is a non-degree course for international students, taught in English, and lasts for 1 week. It introduces students to introductory statistics, probability, and estimation, providing a solid foundation in data analysis.

The curriculum includes subjects such as descriptive statistics, probability theory, and estimation methods, helping students develop skills in data interpretation, statistical modeling, and problem-solving. Students will also work on practical exercises to apply statistical concepts to real-world problems.

After completing this program, students can pursue careers as Data Analysts, Statistical Consultants, Research Assistants, or Business Intelligence Developers, working in various industries such as finance, healthcare, or social sciences, where data-driven decision making is essential.