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Statistics 1 Part 1: Introductory statistics, probability and estimation

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.

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Statistics 1 Part 1: Introductory statistics, probability and estimation

There is one session available:

After a course session ends, it will be archivedOpens in a new tab.
Starts May 31
Ends Sep 28
Enroll

Statistics 1 Part 1: Introductory statistics, probability and estimation

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.

Statistics 1 Part 1: Introductory statistics, probability and estimation
5 weeks
12–15 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

After a course session ends, it will be archivedOpens in a new tab.
Starts May 31
Ends Sep 28
Enroll
Statistics 1 Part 1: Introductory statistics, probability and estimation

About this course

Skip 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.

At a glance

  • Institution: LSE
  • Subject: Data Analysis & Statistics
  • Level: Intermediate
  • Prerequisites:

    Statistics 1 Part 1 assumes no prior knowledge of statistics. Essential statistical concepts are introduced and are further built on in Statistics 1 Part 2 (and also in Statistics 2, Parts 1 and 2). It is strongly recommeded to study the LSE statistics courses in order (progressing to Statistics 1, Part 2) given the cumulative nature of the subject matter.

  • Language: English
  • Video Transcript: English
  • Associated programs:
  • Associated skills: Economics, Statistics, Data Visualization, Statistical Methods, Probability, Social Sciences, Normal Distribution, Sampling (Statistics), Management, Basic Math, Probability Theories

What you'll learn

Skip What you'll learn

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

Syllabus

Skip Syllabus

● 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

About the instructors

This course is part of Statistics Fundamentals MicroBachelors Program

Learn more 
Expert instruction
5 high-quality courses
Self-paced
Progress at your own speed
5 months
11 - 14 hours per week

Ways to take this course

Choose your path when you enroll.
Verified Track
Audit Track

Price

$199.20 USD

Free

Access to course materials

Unlimited

Limited

Expires on Jul 5

World class institutions and universities

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Shareable certificate upon completion

Graded assignments and exams

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