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: New
Status: Free Trial
Duke University
Programming for Python Data Science: Principles to Practice
Skills you'll gain: Matplotlib, Pandas (Python Package), Computational Thinking, Predictive Modeling, Data Cleansing, Data Visualization Software, Visualization (Computer Graphics), Data Structures, Debugging, NumPy, Data Manipulation, Regression Analysis, Data Analysis, Python Programming, Algorithms, Simulations, Statistical Methods, Program Development, Data Science, Object Oriented Programming (OOP)
3.8
Rating, 3.8 out of 5 stars
70 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Advanced R Programming
Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Programming Principles, Data Manipulation, Data Structures, Software Design Patterns, Performance Tuning
4.2
Rating, 4.2 out of 5 stars
574 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Clinical Trials Analysis, Monitoring, and Presentation
Skills you'll gain: Sample Size Determination, Clinical Trials, Clinical Research, Statistical Reporting, Biostatistics, Statistical Analysis, Advanced Analytics, Data Analysis, Statistical Methods, Patient Safety, Bayesian Statistics, Data Quality, Data Presentation
4.7
Rating, 4.7 out of 5 stars
68 reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Building Statistical Models in R: Linear Regression
Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, Scatter Plots, R Programming, Plot (Graphics), Predictive Modeling
4.7
Rating, 4.7 out of 5 stars
19 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
University of Colorado Boulder
Essential Linear Algebra for Data Science
Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra
4.5
Rating, 4.5 out of 5 stars
173 reviews
Intermediate · Course · 1 - 3 Months
Emory University
Math for MBA and GMAT Prep
Skills you'll gain: Regression Analysis, Data Visualization, Business Mathematics, Descriptive Statistics, Microsoft Excel, Statistics, Business Analytics, Excel Formulas, Algebra, Calculus, Arithmetic
4.2
Rating, 4.2 out of 5 stars
44 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
LearnQuest
Artificial Intelligence Algorithms Models and Limitations
Skills you'll gain: Predictive Modeling, Data Ethics, Algorithms, Machine Learning, Predictive Analytics, Artificial Intelligence, Statistical Modeling, Risk Modeling, Test Data, Ethical Standards And Conduct, Economic Development, Human Factors
4.7
Rating, 4.7 out of 5 stars
453 reviews
Beginner · Course · 1 - 4 Weeks
Google Cloud
Generative AI for Healthcare
Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Artificial Intelligence, Supervised Learning, Machine Learning, Health Technology, Health Informatics, Deep Learning
4.2
Rating, 4.2 out of 5 stars
41 reviews
Intermediate · Course · 1 - 3 Months
University of Houston
Math behind Moneyball
Skills you'll gain: Probability & Statistics, Statistical Methods, Statistics, Microsoft Excel, Predictive Analytics, Game Theory, Spreadsheet Software, Predictive Modeling, Excel Formulas, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Advanced Analytics, Data-Driven Decision-Making, Data Analysis, Analytics, Data Analysis Software, Business Mathematics, Simulations, Forecasting
4.5
Rating, 4.5 out of 5 stars
97 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Tableau Learning Partner
Advanced Data Visualization with Tableau
Skills you'll gain: Data Visualization Software, Spatial Data Analysis, Tableau Software, Data Storytelling, Statistical Visualization, Interactive Data Visualization, Data Presentation, Stakeholder Communications, Geospatial Mapping, Business Reporting, Business Analytics
4.9
Rating, 4.9 out of 5 stars
91 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Microsoft
Data Visualization Fundamentals
Skills you'll gain: Data Storytelling, Data Presentation, Power BI, Data Visualization Software, Interactive Data Visualization, Statistical Visualization, Dashboard, Data-Driven Decision-Making, Business Intelligence, Pivot Tables And Charts, Data Analysis, Scatter Plots, Histogram
4.6
Rating, 4.6 out of 5 stars
53 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Data Science Capstone
Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Data Science, Data Analysis, Data Presentation, Data Collection, Data Storytelling, Data Cleansing, Statistical Analysis, Data Manipulation
4.5
Rating, 4.5 out of 5 stars
1.2K reviews
Mixed · Course · 1 - 3 Months