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

Explore the Statistical Inference Course Catalog

Status: Free Trial
University of California, Irvine
Data Warehousing and Business Intelligence
Skills you'll gain: Extract, Transform, Load, Data Warehousing, Data Mining, Business Intelligence, Star Schema, Snowflake Schema, Data Modeling, Data Mart, Data Architecture, Unsupervised Learning, Business Analytics, Data-Driven Decision-Making, Machine Learning Methods, Databases, Statistical Methods, Data Science, Predictive Modeling, Big Data, Cloud Computing, Market Analysis
4.6
Rating, 4.6 out of 5 stars
120 reviews
Beginner · Course · 1 - 4 Weeks
Icahn School of Medicine at Mount Sinai
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
Skills you'll gain: Bioinformatics, Interactive Data Visualization, Supervised Learning, Machine Learning, Big Data, Data Science, Data Integration, Unsupervised Learning, Molecular Biology, Data Processing, Data Analysis, Metadata Management, Application Programming Interface (API), Restful API
4.8
Rating, 4.8 out of 5 stars
26 reviews
Intermediate · Course · 3 - 6 Months
Status: Free Trial
Illinois Tech
Variable Selection, Model Validation, Nonlinear Regression
Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, R Programming, Statistical Analysis, Statistical Modeling, Predictive Modeling, Advanced Analytics, Probability & Statistics, Data Validation
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
7 reviews
Intermediate · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Financial Management Capstone
Skills you'll gain: Peer Review, Financial Management, Financial Modeling, Financial Data, Investment Management, Financial Analysis, Data Storytelling, Mergers & Acquisitions, Cash Flows, Business Valuation, Return On Investment, Corporate Strategy
4.6
Rating, 4.6 out of 5 stars
136 reviews
Intermediate · Course · 1 - 3 Months
Status: New
Status: Free Trial
Illinois Tech
Data Analytics and Big Data
Skills you'll gain: Database Design, Relational Databases, Database Application, Database Systems, Database Management, NoSQL, Database Theory, Databases, Database Development, Machine Learning Algorithms, SQL, Big Data, Apache Hadoop, Database Management Systems, MySQL, Statistical Analysis, Data Visualization, Data Analysis, Apache Spark, Data Modeling
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
63 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
SAS
Practicing for the SAS Programming Certification Exam
Skills you'll gain: SAS (Software), Data Analysis, Requirements Analysis, Exploratory Data Analysis, Statistical Programming, Statistical Analysis, Data Manipulation, Data Cleansing, Data Transformation, Data Import/Export
4.8
Rating, 4.8 out of 5 stars
94 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Introduction to R Programming and Tidyverse
Skills you'll gain: Rmarkdown, Ggplot2, Tidyverse (R Package), R Programming, Data Visualization Software, Statistical Programming, Data Manipulation, Statistical Reporting, Data Analysis, Data Wrangling, Software Installation, Debugging
4.2
Rating, 4.2 out of 5 stars
47 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
EDHEC Business School
The Finance of Climate Change
Skills you'll gain: Project Finance, Finance, Financial Market, Securities (Finance), Environmental Social And Corporate Governance (ESG), Corporate Finance, Corporate Sustainability, Financial Modeling, Financial Regulation, Investment Management, Financial Analysis, Risk Analysis, Risk Management, Cash Flows
4.6
Rating, 4.6 out of 5 stars
111 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Advanced Probability and Statistical Methods
Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistical Modeling, Statistics, Statistical Inference, Probability, R Programming, Applied Mathematics
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of California San Diego
Molecular Evolution (Bioinformatics IV)
Skills you'll gain: Bioinformatics, Statistical Analysis, Molecular Biology, Graph Theory, Taxonomy, Tree Maps, Algorithms
4.5
Rating, 4.5 out of 5 stars
79 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of California, Irvine
The Nature of Data and Relational Database Design
Skills you'll gain: Decision Support Systems, Database Design, Relational Databases, Database Management, Database Management Systems, SQL, Descriptive Statistics, Data Literacy, Statistics, Business Intelligence, Microsoft Excel, Extract, Transform, Load, Data-Driven Decision-Making, Business Analytics, Data Manipulation, Data Science
4.5
Rating, 4.5 out of 5 stars
101 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Resampling, Selection and Splines
Skills you'll gain: Data Science, R Programming, Statistical Machine Learning, Advanced Analytics, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Statistical Methods, Sampling (Statistics), Regression Analysis, Statistical Inference
5
Rating, 5 out of 5 stars
8 reviews
Intermediate · Course · 1 - 3 Months