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
L&T EduTech
Intelligent Digital Factories
Skills you'll gain: Machine Learning Algorithms, Internet Of Things, Computer Vision, Image Analysis, Artificial Intelligence, Unsupervised Learning, Python Programming, Embedded Software, Peripheral Devices, Integrated Development Environments, Deep Learning, Applied Machine Learning, Embedded Systems, Machine Learning, Civil Engineering, Computer Programming Tools, Wireless Networks, Automation, Digital Transformation, System Monitoring
4.6
Rating, 4.6 out of 5 stars
301 reviews
Intermediate · Specialization · 3 - 6 Months
UNSW Sydney (The University of New South Wales)
Remote Sensing Image Acquisition, Analysis and Applications
Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Geospatial Mapping, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Probability & Statistics, Artificial Neural Networks
4.7
Rating, 4.7 out of 5 stars
167 reviews
Intermediate · Course · 3 - 6 Months
Status: Free Trial
Columbia University
The Construction Industry: The Way Forward
Skills you'll gain: Construction, Business Transformation, Innovation, Architecture and Construction, Construction Management, Workforce Development, Civil Engineering, Emerging Technologies, Digital Transformation, Thought Leadership, Building Information Modeling, Automation, Data-Driven Decision-Making, Sustainability Reporting, Machine Learning
4.8
Rating, 4.8 out of 5 stars
363 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Battery State-of-Charge (SOC) Estimation
Skills you'll gain: Estimation, Matlab, Simulations, Numerical Analysis, Anomaly Detection, Probability, Performance Tuning, Data Validation, Linear Algebra
4.8
Rating, 4.8 out of 5 stars
253 reviews
Intermediate · Course · 1 - 3 Months
University of Alberta
Science Literacy
Skills you'll gain: Scientific Methods, General Science and Research, Research Methodologies, Research, Research Design, Peer Review, Experimentation, Statistical Methods, Media and Communications, Correlation Analysis, Probability & Statistics
4.4
Rating, 4.4 out of 5 stars
263 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Illinois Urbana-Champaign
Introduction to Applied Business Analytics
Skills you'll gain: Business Analytics, Data Processing, Business Process, Business Intelligence, Tidyverse (R Package), Analytics, Workflow Management, Data Analysis, Data Transformation, Data Manipulation, R Programming, Data-Driven Decision-Making, Data Presentation, Exploratory Data Analysis, Statistical Programming, Data Import/Export
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
286 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Michigan
Data Analytics in the Public Sector with R
Skills you'll gain: Exploratory Data Analysis, Data Visualization, Plot (Graphics), Statistical Analysis, Data Presentation, Ggplot2, Program Evaluation, Policy Analysis, Surveys, Data Ethics, Data Analysis, Tidyverse (R Package), Statistical Visualization, R Programming, Statistical Methods, Data Visualization Software, Statistical Hypothesis Testing, Demography, Political Sciences, Public Policies
4.8
Rating, 4.8 out of 5 stars
76 reviews
Intermediate · Specialization · 3 - 6 Months
IBM
Machine Learning Introduction for Everyone
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Deep Learning, Supervised Learning, IBM Cloud, Predictive Modeling, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Software Development Life Cycle
4.5
Rating, 4.5 out of 5 stars
278 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Exploratory Data Analysis With Python and Pandas
Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Statistical Analysis
4.5
Rating, 4.5 out of 5 stars
435 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
University of Michigan
Foundations of Sports Analytics: Data, Representation, and Models in Sports
Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Manipulation, Data Visualization, Statistical Analysis, Scatter Plots, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming
4.4
Rating, 4.4 out of 5 stars
188 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Universidad Nacional Autónoma de México
Matemáticas financieras
Skills you'll gain: Business Mathematics, Financial Management, Finance, Financial Modeling, Financial Analysis, Loans, Arithmetic, Investments, Cash Flows, Corporate Finance, Applied Mathematics
4.8
Rating, 4.8 out of 5 stars
1.2K reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of London
Object Oriented Programming
Skills you'll gain: Pseudocode, C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Integrated Development Environments, Development Environment, Programming Principles, Debugging, Data Structures, Computer Programming, Program Development, Algorithms, Interactive Design, Test Data, Data Validation, Unit Testing, Data Import/Export, Data Management, Command-Line Interface, Statistical Programming
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
219 reviews
Intermediate · Specialization · 1 - 3 Months