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

Johns Hopkins University
Quantifying Relationships with Regression Models
Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Inference, Data Analysis, Statistical Modeling, Statistical Analysis, Probability & Statistics
4.7
Rating, 4.7 out of 5 stars
21 reviews
Intermediate · Course · 1 - 4 Weeks
Emory University
Survey analysis to Gain Marketing Insights
Skills you'll gain: Customer Analysis, Statistical Analysis, Target Market, Marketing Analytics, Customer Insights, Market Research, Data Analysis, Data Analysis Software, Marketing, Marketing Strategy and Techniques, Brand Strategy
4.5
Rating, 4.5 out of 5 stars
122 reviews
Mixed · Course · 1 - 4 Weeks
Macquarie University
Excel Regression Models for Business Forecasting
Skills you'll gain: Forecasting, Regression Analysis, Time Series Analysis and Forecasting, Business Mathematics, Microsoft Excel, Statistical Modeling, Trend Analysis, Statistical Analysis, Data Visualization Software
4.9
Rating, 4.9 out of 5 stars
108 reviews
Intermediate · Course · 1 - 3 Months
Fundação Instituto de Administração
Inteligência Artificial Aplicada ao CRM
Skills you'll gain: Customer Relationship Management, Customer Data Management, Big Data, Data Mining, Data-Driven Decision-Making, Predictive Analytics, Data Visualization, Sales Management, Customer Engagement, Data Visualization Software, Data Modeling, R Programming, Customer Insights, Advanced Analytics, Customer experience strategy (CX), Data Science, Data Analysis, Data Manipulation, Artificial Intelligence, Data Structures
4.4
Rating, 4.4 out of 5 stars
91 reviews
Beginner · Specialization · 1 - 3 Months
Status: Free
Erasmus University Rotterdam
Enjoyable Econometrics
Skills you'll gain: Econometrics, Data Collection, Probability & Statistics, Regression Analysis, Survey Creation, Quantitative Research, Data Wrangling, Statistical Hypothesis Testing, Descriptive Statistics, Time Series Analysis and Forecasting, Statistical Analysis
4.1
Rating, 4.1 out of 5 stars
121 reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
ANOVA and Experimental Design
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, A/B Testing, Data Analysis, Regression Analysis, Probability & Statistics, Sample Size Determination
Build toward a degree
3.9
Rating, 3.9 out of 5 stars
18 reviews
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Advanced Understanding of Stocks and Bonds
Skills you'll gain: Equities, Investments, Financial Analysis, Financial Market, Corporate Finance, Business Valuation, Financial Modeling, Return On Investment, Risk Analysis, Growth Strategies
4.6
Rating, 4.6 out of 5 stars
53 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Peking University
社会调查与研究方法（下）Methodologies in Social Research (Part 2)
Skills you'll gain: Surveys, Survey Creation, Statistical Analysis, Interviewing Skills, Data Collection, Research Methodologies, Research, Social Sciences, Qualitative Research, Research Reports, Data Mining, Research Design, Data Cleansing, Report Writing
4.9
Rating, 4.9 out of 5 stars
25 reviews
Mixed · Course · 1 - 3 Months
University of Colorado System
Computational Thinking with Beginning C Programming
Skills you'll gain: Computational Thinking, Data Collection, Simulations, Data Analysis, Microsoft Visual Studio, C (Programming Language), Statistical Analysis, Automation, Program Development, Data Structures, Programming Principles, Algorithms, Computer Programming, Development Environment, Descriptive Statistics, Problem Management, File Management, Distributed Computing, Debugging, Data Storage
4.6
Rating, 4.6 out of 5 stars
431 reviews
Beginner · Specialization · 3 - 6 Months
Universidad Nacional Autónoma de México
Evaluación del y para el aprendizaje: enfoque cuantitativo
Skills you'll gain: Program Evaluation, Education and Training, Instructional and Curriculum Design, Survey Creation, Data Analysis Software, Qualitative Research, Statistical Analysis
4.8
Rating, 4.8 out of 5 stars
142 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Measuring the Success of a Patient Safety or Quality Improvement Project (Patient Safety VI)
Skills you'll gain: Patient Safety, Data Analysis, Data Presentation, Continuous Quality Improvement (CQI), Data Visualization Software, Statistical Reporting, Statistical Methods, Data Collection, Systems Of Measurement
4.7
Rating, 4.7 out of 5 stars
93 reviews
Mixed · Course · 1 - 4 Weeks
American Psychological Association
Data Exploration in Psychology
Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Software, Data Visualization, Statistical Analysis, Statistical Methods, Plot (Graphics), Descriptive Statistics, Histogram, Data Analysis, Box Plots, Exploratory Data Analysis, Analysis, Graphing, Data Visualization Software, Probability & Statistics, Quantitative Research, Statistical Visualization, Statistics, Data Literacy
Beginner · Specialization · 3 - 6 Months