What is 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.

Why is it important to learn about statistical inference?

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.

How can I apply statistical inference in my career?

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.

How can online courses on Coursera help me learn about statistical inference?

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.

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.

What Statistical Inference courses are best for training and upskilling employees or the workforce?

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 .

Top Statistical Inference Courses - Learn Statistical Inference Online

Skip to search results

Filter by

Subject
Required

Data Science(982)

Business(329)

Information Technology(195)

Computer Science(176)

Language
Required

The language used throughout the course, in both instruction and assessments.

English(1,517)

Spanish(914)

French(852)

Portuguese (Brazil)(847)

Learning Product
Required

Guided Projects(139)

Build job-relevant skills in under 2 hours with hands-on tutorials.

Courses(1,449)

Learn from top instructors with graded assignments, videos, and discussion forums.

Projects(19)

Learn a new tool or skill in an interactive, hands-on environment.

Specializations(248)

Get in-depth knowledge of a subject by completing a series of courses and projects.

Professional Certificates(27)

Earn career credentials from industry leaders that demonstrate your expertise.

MasterTrack® Certificates(8)

Earn career credentials while taking courses that count towards your Master’s degree.

Degrees(17)

Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.

Postgraduate Diploma(1)

Complete graduate-level learning without committing to a full degree program.

Graduate Certificates(1)

Earn a university-issued career credential in a flexible, interactive format.

Level
Required

Beginner(787)

Intermediate(819)

Advanced(98)

Mixed(178)

Duration
Required

Less Than 2 Hours(158)

1-4 Weeks(747)

1-3 Months(734)

3-6 Months(242)

6-12 Months(10)

1-4 Years(17)

Skills
Required

Machine Learning(846)

Data Analysis(652)

Statistical Analysis(499)

Applied Machine Learning(462)

Subtitles
Required

English(1,706)

Spanish(1,006)

French(946)

Arabic(902)

Educator
Required

Google Cloud(218)

Johns Hopkins University(144)

Coursera Project Network(137)

University of Colorado Boulder(92)

Explore the Statistical Inference Course Catalog

Status: Free
University of Toronto
Data Visualization for Genome Biology
Skills you'll gain: Scientific Visualization, Data Visualization Software, Statistical Visualization, Interactive Data Visualization, Bioinformatics, Data Presentation, Ggplot2, Visualization (Computer Graphics), Dimensionality Reduction, Scatter Plots, R Programming, Network Analysis, Exploratory Data Analysis, Heat Maps, Design Thinking
4.7
Rating, 4.7 out of 5 stars
23 reviews
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Mastering Software Development in R Capstone
Skills you'll gain: Software Documentation, Leaflet (Software), Technical Documentation, Data Manipulation, Data Cleansing, Data Transformation, Data Visualization Software, Code Review, R Programming, GitHub, Continuous Integration, Software Testing
4
Rating, 4 out of 5 stars
44 reviews
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Perform basic data analysis tasks using Java streams
Skills you'll gain: Data Import/Export, Data Analysis, Exploratory Data Analysis, Java, Data Manipulation, Descriptive Statistics, Statistics
4.5
Rating, 4.5 out of 5 stars
6 reviews
Intermediate · Guided Project · Less Than 2 Hours
Queen Mary University of London
Research Instruments and Research Hypotheses
Skills you'll gain: Research Reports, Statistical Hypothesis Testing, Survey Creation, Research Design, Statistical Analysis, Data Processing, Data Collection, Quantitative Research, Research Methodologies, Statistics, Data Analysis, Descriptive Statistics, Data Validation
4.9
Rating, 4.9 out of 5 stars
18 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Coursera Instructor Network
Advanced Quantitative Statistics with Excel
Skills you'll gain: Regression Analysis, Microsoft Excel, Statistical Hypothesis Testing, Business Analytics, Data-Driven Decision-Making, Business Analysis, Statistical Analysis, Data Visualization Software, Statistical Methods, Analytics, Data Analysis, Probability & Statistics, Variance Analysis, Forecasting
4.6
Rating, 4.6 out of 5 stars
8 reviews
Beginner · Course · 1 - 4 Weeks
University of California San Diego
Hacking COVID-19 — Course 3: Unraveling COVID-19's Origins
Skills you'll gain: Bioinformatics, Computational Thinking, Life Sciences, Medical Science and Research, Scientific Methods, Science and Research
Beginner · Course · 1 - 4 Weeks
Fred Hutchinson Cancer Center
Researcher's guide to omic fundamentals
Skills you'll gain: Bioinformatics, Data Processing, Data Analysis, Exploratory Data Analysis, Statistical Analysis, Metadata Management, R Programming, Scientific Methods, Data Management, Data Quality
3.9
Rating, 3.9 out of 5 stars
10 reviews
Intermediate · Course · 1 - 3 Months
Google Cloud
Responsible AI for Developers: Interpretability & Transparency
Skills you'll gain: Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Software Visualization, Machine Learning, Artificial Intelligence, Data Ethics, Data Storytelling
4.9
Rating, 4.9 out of 5 stars
11 reviews
Intermediate · Course · 1 - 4 Weeks
EIT Digital
Advanced Recommender Systems
Skills you'll gain: Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Dimensionality Reduction, Machine Learning, Unsupervised Learning, Advanced Analytics, Supervised Learning, Predictive Modeling, Algorithms, Data Analysis
3.8
Rating, 3.8 out of 5 stars
23 reviews
Intermediate · Course · 1 - 3 Months
Coursera Project Network
RStudio for Six Sigma - Control Charts
Skills you'll gain: Statistical Process Controls, Six Sigma Methodology, Quality Control, Plot (Graphics), Statistical Analysis, R Programming
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
Supply Chain Network Optimization Using MILP on RStudio
Skills you'll gain: Operations Research, Supply Chain, Supply Chain Management, Supply Chain Planning, Transportation, Supply Chain, and Logistics, Process Optimization, Inventory Control, Capacity Planning, R Programming
4.3
Rating, 4.3 out of 5 stars
10 reviews
Beginner · Guided Project · Less Than 2 Hours
The State University of New York
Player Evaluation, Team Performance and Roster Management
Skills you'll gain: Calendar Management, Performance Analysis, Analytics, Data-Driven Decision-Making, Data Analysis, Scheduling, Staff Management, Team Performance Management, Linear Algebra, Data Management, Administration, Contract Management, Business, Compensation Management, Contract Negotiation, R Programming, Strategic Decision-Making
5
Rating, 5 out of 5 stars
6 reviews
Beginner · Course · 1 - 3 Months

Statistical Inference learners also search

Advanced R Programming

Beginner Predictive Analytics

1…102 103 104…160

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

Data Visualization for Genome Biology: University of Toronto
Mastering Software Development in R Capstone: Johns Hopkins University
Perform basic data analysis tasks using Java streams: Coursera Project Network
Research Instruments and Research Hypotheses: Queen Mary University of London
Advanced Quantitative Statistics with Excel: Coursera Instructor Network
Hacking COVID-19 — Course 3: Unraveling COVID-19's Origins: University of California San Diego
Researcher's guide to omic fundamentals: Fred Hutchinson Cancer Center
Responsible AI for Developers: Interpretability & Transparency: Google Cloud
Advanced Recommender Systems: EIT Digital
RStudio for Six Sigma - Control Charts: Coursera Project Network

Statistical Inference Courses Online