Statistics 1 Part 2: Statistical Methods
The second in a series of four courses which help you to master statistics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.
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- Course by The London School of Economics and Political Science
- Total students 1,163 enrolled
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About
Statistics 1 Part 2 is a self-paced course from LSE which aims to introduce you to and develop your understanding of essential statistical concepts, methods and techniques, emphasising the applications of these methods. This course can be taken alone or as part of the LSE MicroBachelors program in Statistics Fundamentals or the LSE MicroBachelors program in Mathematics and Statistics Fundamentals.
Part 2, Statistical Methods, covers the following topics:
- Hypothesis testing I
- Hypothesis testing II
- Contingency tables and the chi-squared test
- Sampling design and some ideas underlying causation
- Correlation and linear regression
Statistics 1 Part 2 forms part of a series of courses which focuses on the application of statistical methods in management, economics and the social sciences. Attention will focus on how to approach statistical problems, as well as the interpretation of tables and results.
What you will learn
By the end of this course, you will:
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be familiar with some further key ideas of statistics that are accessible to a student with a moderate mathematical competence
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be able to routinely apply a variety of methods for explaining, summarising and presenting data and interpreting results clearly using appropriate diagrams, titles and labels when required
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To explain the fundamentals of statistical inference and perform inference to test the significance of common measures such as means and proportions and conduct chi-squared tests of contingency tables
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be able to use simple linear regression and correlation analysis and know when it is appropriate to do so
Skills you learn
Syllabus
● Hypothesis testing I
● Hypothesis testing II
● Contingency tables and the chi-squared test
● Sampling design and some ideas underlying causation
● Correlation and linear regression
Auto Summary
Enhance your quantitative expertise and prepare for high-growth career opportunities with "Statistics 1 Part 2: Statistical Methods," offered by edX. This intermediate course, the second in a comprehensive four-part series, delves into essential statistical methods, building upon foundational knowledge to elevate your analytical skills. Ideal for those in the IT and Computer Science domain, this course is perfect for learners aiming to advance their careers or pursue further undergraduate studies. Guided by expert instructors, the course content is meticulously designed to ensure a thorough understanding of statistical concepts and their practical applications. Flexible subscription options, including Professional and Starter plans, cater to a variety of learning needs and budgets. Whether you're an aspiring data scientist, a professional seeking to enhance your statistical acumen, or a student preparing for higher education, this course provides the tools and knowledge to succeed. Embark on your journey to mastering statistics and unlocking new career opportunities with edX today.
James Abdey