What are the benefits of taking an online Statistical Inference course?

Online Statistical Inference courses offer a convenient and flexible way to enhance your knowledge or learn new Statistical Inference skills. Choose from a wide range of Statistical Inference courses offered by top universities and industry leaders tailored to various skill levels.

Top Statistical Inference Courses - Learn Statistical Inference Online

Browse
Statistical Inference

Results for "statistical inference"

Status: Free Trial
Johns Hopkins University
Statistical Inference
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Statistics, Probability, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis
4.2
Rating, 4.2 out of 5 stars
4.5K reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Data Science Foundations: Statistical Inference
Skills you'll gain: Probability, Statistical Hypothesis Testing, Probability & Statistics, Probability Distribution, Bayesian Statistics, Statistical Methods, Statistical Inference, Sampling (Statistics), Statistical Analysis, Statistics, Data Ethics, Data Analysis, A/B Testing, Data Science, Descriptive Statistics, Quantitative Research, Artificial Intelligence
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
335 reviews
Intermediate · Specialization · 3 - 6 Months
Status: New
Status: Preview
O.P. Jindal Global University
Statistical Methods and Data Analysis
Skills you'll gain: Sampling (Statistics), Statistical Analysis, Probability Distribution, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Correlation Analysis, Regression Analysis, R (Software), R Programming, Statistical Modeling, Statistical Inference, Probability, Big Data, Decision Tree Learning
Build toward a degree
Mixed · Course · 1 - 3 Months
Status: New
Status: Free Trial
University of Colorado Boulder
Foundations of Probability and Statistics
Skills you'll gain: Probability, Probability & Statistics, Estimation, Probability Distribution, Markov Model, Bayesian Statistics, Statistical Methods, Statistical Inference, Sampling (Statistics), Statistical Analysis, Statistics, Artificial Intelligence, Generative AI, Data Analysis, Data Science, Descriptive Statistics, Machine Learning Algorithms, Mathematical Theory & Analysis
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
320 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Duke University
Inferential Statistics
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation
4.8
Rating, 4.8 out of 5 stars
2.8K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of California, Santa Cruz
Bayesian Statistics
Skills you'll gain: Time Series Analysis and Forecasting, Bayesian Statistics, R Programming, Forecasting, Statistical Inference, Statistical Modeling, Technical Communication, Data Presentation, Statistics, Probability, Statistical Analysis, Statistical Software, Advanced Analytics, R (Software), Data Analysis, Mathematical Modeling, Microsoft Excel, Markov Model, Statistical Methods, Data Science
4.6
Rating, 4.6 out of 5 stars
3.5K reviews
Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

Start my career

Change my career

Grow in my current role

Explore topics outside of work

Status: Free Trial
University of Michigan
Statistics with Python
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Bayesian Statistics, Data Visualization, Statistics, Matplotlib, Statistical Visualization, Statistical Software, Probability & Statistics, Statistical Analysis, Jupyter, Statistical Programming, Regression Analysis, Data Visualization Software, Predictive Modeling, Data Analysis, Python Programming
4.6
Rating, 4.6 out of 5 stars
3.3K reviews
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Advanced Statistics for Data Science
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling
4.4
Rating, 4.4 out of 5 stars
781 reviews
Advanced · Specialization · 3 - 6 Months
Status: Free Trial
Imperial College London
Statistical Analysis with R for Public Health
Skills you'll gain: Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistics, Public Health, Statistical Inference, Probability & Statistics, Time Series Analysis and Forecasting
4.7
Rating, 4.7 out of 5 stars
2.1K reviews
Beginner · Specialization · 3 - 6 Months
Status: Preview
Eindhoven University of Technology
Improving your statistical inferences
Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Sample Size Determination, Research, R Programming, Data Sharing
4.9
Rating, 4.9 out of 5 stars
799 reviews
Intermediate · Course · 1 - 3 Months
Status: Preview
Stanford University
Introduction to Statistics
Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution
4.6
Rating, 4.6 out of 5 stars
4.2K reviews
Beginner · Course · 1 - 3 Months
Status: New
Status: Preview
Northeastern University
Engineering Probability and Statistics Part 1
Skills you'll gain: Probability & Statistics, Probability Distribution, Probability, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Statistical Visualization, Correlation Analysis, Reliability
Mixed · Course · 1 - 3 Months

Searches related to statistical inference

improving your statistical inferences

data science foundations: statistical inference

statistical inference and hypothesis testing in data science applications

In summary, here are 10 of our most popular statistical inference courses

Statistical Inference: Johns Hopkins University
Data Science Foundations: Statistical Inference: University of Colorado Boulder
Statistical Methods and Data Analysis : O.P. Jindal Global University
Foundations of Probability and Statistics: University of Colorado Boulder
Inferential Statistics: Duke University
Bayesian Statistics: University of California, Santa Cruz
Statistics with Python: University of Michigan
Advanced Statistics for Data Science: Johns Hopkins University
Statistical Analysis with R for Public Health: Imperial College London
Improving your statistical inferences: Eindhoven University of Technology

Skills you can learn in Probability And Statistics

R Programming (19)

Linear Regression (12)

Statistical Analysis (12)

Regression Analysis (10)

Biostatistics (9)

Bayesian (7)

Logistic Regression (7)

Probability Distribution (7)

Bayesian Statistics (6)

Medical Statistics (6)

Frequently Asked Questions about Statistical Inference

Statistical inference is the process whereby you can draw conclusions about a population based on random samples of that population and the statistics that you draw from those samples. When you rely on statistical inference, you take what you've observed about your samples of that population and apply them to the group as a whole. Applying statistical inference allows you to take what you know about the population as well as what's uncertain to make statements about the entire population based on your analysis.‎

If you want to learn about a certain population—whether they're customers or fellow employees—you can use statistical inference to draw conclusions about that population based on your analysis of data about them. You can't always survey or test an entire population to gain insight, but you can sample the population and make educated assumptions based on the data. Understanding statistical inference allows you to take that data and use it to draw conclusions that make sense and prove true.‎

Statistical inference has plenty of benefits for different business sectors. Statisticians and data analysts use this method often to draw conclusions based on samples of populations. If you're in sales or product development, you can use statistical inference to determine which brands or products are popular with your customers or clients. Scientists use statistical inference to test hypotheses and draw conclusions when it's impossible for them to test or sample an entire population. You can apply statistical inference to analyze the data from surveys of any population that you sample.‎

Online courses on Coursera give you both a grasp of the concepts of statistical inference and practical applications. You'll learn from the best instructors in the academic world, and you can learn at a pace and schedule that best suits your schedule and lifestyle. When you finish our courses, you'll know how to use statistical inference in your career, which will give you an advantage whether you're trying to get better at your current job or whether you're looking to make a career change.‎

When looking to enhance your workforce's skills in Statistical Inference, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.