NHS Data and Analytics Academy

Introduction to Statistics

Certificate available: complete this course to be awarded a certificate

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Stanford's 'Introduction to Statistics' teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.

- SA11.3 Intermediate: Present the results of longitudinal analysis clearly and explain the meaning and limitations of available data and its context.

SA15.1 Beginner  You can identify a business question and convert it into an appropriate hypothesis.   

SA15.1 Intermediate  You can determine the correct statistical tests for hypotheses, along with whether testing should be one tailed or two tailed.  

SA15.2 Beginner  You understand the difference between analytical hypotheses and null hypotheses.   

SA15.2 Intermediate  You understand alpha and beta and what p-values and confidence limits mean and you know how to calculate them. 

DAC3 L1: You conduct simple analyses using descriptive statistics.

DAC3 L2: You have knowledge of explicative statistical skills.

DSC1 L2: Ensures work conforms to agreed standards.

DSC1 L2: Seeks advice on the application of techniques when appropriate.

Skills Covered

- Descriptive Statistics

- Sampling and Randomized Controlled Experiments

- Probability

- Sampling Distributions

- Central Limit Theorem

- Regression

- Tests of Significance

- Resampling

- Multiple Comparisons

Additional information

This course provides foundational knowledge in statistical thinking, enabling learners to analyse data effectively and communicate insights, serving as a stepping stone to advanced topics in statistics and machine learning.

Resource details

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Contributed by: NHS Data and Analytics Academy
Authored by: Stanford University via Coursera, Stanford University via Coursera
Licence: More information on licences
First contributed: 04 April 2025
Audience access level: General user

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