Statistics 1 Part 2: Statistical Methods

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 2 program focuses on statistical methods and is taught in English at The London School of Economics And Political Science in England. This non-degree program is 1 week long and is open to students with a pre-high school education level. It's a great opportunity to learn from experienced instructors.

Students in this program will learn about statistical methods, including data analysis and interpretation. They will develop skills in collecting and analyzing data, and learn how to use statistical software. The program includes hands-on components to help students apply statistical concepts to real-world problems.

Graduates of this program can pursue careers as Statistical Analysts, Data Scientists, or Research Assistants. They can work in industries like healthcare, finance, or social sciences, and companies like pharmaceutical companies or market research firms may hire them.