Overview
Key facts
We will use real-world examples from the social and natural sciences to establish the foundations of probability and distribution theory, and introduce important statistical skills, from descriptive statistics to sampling and inference. In addition to these examples, we will conduct interactive experiments in the classroom to demonstrate the use of key techniques.
London School of Economics and Political Science offers the Introduction to Statistics - Understanding the World through Data programme.
Programme Structure
Courses include:
- Data summaries
- Linear regression
- Probability
- Distribution theory
- Sampling
- Point estimation
- Hypothesis testing
Key information
Duration
- Full-time
- 19 days
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
Credits
- 3-4 credits (US)
- 7.5 ECTS points (EU)
Delivered
Campus Location
- London, United Kingdom
Disciplines
Statistics Data Science & Big Data View 37 other Short Courses in Statistics in United KingdomWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
This course is designed for students intending to pursue further study in statistics or any other field involving the analysis of data, especially those targeting roles in consulting, government and public policy.Students who want to get an understanding of how statistics can be used as a tool to test economic theories would also find this course beneficial.
Tuition Fees
-
International Applies to you
Applies to youNon-residents4150 GBP / full≈ 4150 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents4150 GBP / full≈ 4150 GBP / full
Additional Details
- One Session - £4,150
- Two sessions - £7,300
- Three sessions - £9,000
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.