Statistical Inference
The process of inferring population or scientific truths from data is known as statistical inference. Statistical modeling, data-oriented strategies, and explicit use of designs and randomization in analyses are just a few of the methods for performing inference. Furthermore, there are numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference, as well as broad theories (frequentists, Bayesian, likelihood, design based, etc.).
A practitioner's mind can become bogged down in a tangle of techniques, philosophies, and nuance. The fundamentals of inference are presented in this course in a practical approach to getting things done. Students will understand the broad directions of statistical inference after taking this course and will be able to use this knowledge to make informed decisions when analyzing data.
This course offers:
- Flexible deadlines: Reset deadlines based on your availability.
- Shareable certificate: Get a Certificate when you complete
- 100% online
- Approx. 54 hours to complete
- Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, English, Spanish
Course ratings: 4.2/5
Enroll here: https://www.coursera.org/learn/statistical-inference
