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Overview

Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. 

Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference. A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance. 

This Statistical Inference offered by Coursera in partnership Johns Hopkins University presents the fundamentals of inference in a practical approach for getting things done. After taking this course, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data.

What you will learn

  • Describe variability, distributions, limits, and confidence intervals
  • Make informed data analysis decisions
  • Understand the process of drawing conclusions about populations or scientific truths from data
  • Use p-values, confidence intervals, and permutation tests

Detailed Programme Facts

Programme Structure

Courses include:

  • Probability & Expected Values
  • Variability, Distribution, & Asymptotics
  • Intervals, Testing, & Pvalues
  • Power, Bootstrapping, & Permutation Tests

English Language Requirements

This programme may require students to demonstrate proficiency in English.

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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