Title: Statistics 1 Part 1: Introductory statistics, probability and estimation

Location: US

Company: The London School of Economics and Political Science

About this course:
Statistics 1 Part 1 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 1, Introductory Statistics, Probability and Estimation, covers the following topics:
● Mathematical revision and the nature of statistics
● Data visualisation and descriptive statistics
● Probability theory
● The normal distribution and ideas of sampling
● Point and interval estimation
Statistics 1 Part 1 forms part of a series of courses which focuses on the application of statistical methods in management, economics and the social sciences. During this course, you will focus on the interpretation of tables and results, and how to approach statistical problems effectively.

By the end of this course, you will:

be familiar with some key ideas of statistics that are accessible to a student with a moderate mathematical competence

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

have a grounding in probability theory

The first 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.

Duration: 5 weeks

Skills:
- Basic Math
- Data Visualization
- Economics
- Management
- Normal Distribution
- Probability
- Probability Theories
- Sampling (Statistics)
- Social Sciences
- Statistical Methods
- Statistics

Curriculum:
- be familiar with some key ideas of statistics that are accessible to a student with a moderate mathematical competence
- 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

- have a grounding in probability theory