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
ESSEC Business School
Foundations of marketing analytics
Skills you'll gain: Marketing Analytics, Customer Analysis, Business Marketing, Advanced Analytics, Marketing Strategies, Business Analytics, Market Research, Customer Insights, R Programming, Data-Driven Decision-Making, Target Market, Data Analysis, Predictive Analytics, Statistical Analysis, Statistical Modeling, Predictive Modeling, Customer Relationship Management, Statistical Methods, Data Manipulation
4.6
Rating, 4.6 out of 5 stars
761 reviews
Mixed · Course · 1 - 3 Months
Pontificia Universidad Católica de Chile
Análisis de Sistemas de Transporte
Skills you'll gain: Transportation Operations, Transportation Management, Network Analysis, Operations Research, Systems Analysis, Demand Planning, Mathematical Modeling, Econometrics, Cost Benefit Analysis, Market Dynamics, Economics, Statistical Modeling, Predictive Modeling
4.7
Rating, 4.7 out of 5 stars
774 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
DeepLearning.AI
AI and Public Health
Skills you'll gain: Jupyter, Data Analysis, Exploratory Data Analysis, Data Ethics, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Information Privacy, Deep Learning, Environmental Monitoring, Public Health
4.8
Rating, 4.8 out of 5 stars
224 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of California, Davis
Big Data, Artificial Intelligence, and Ethics
Skills you'll gain: Data Ethics, Artificial Intelligence, Research, Natural Language Processing, Big Data, Research Methodologies, Social Sciences, Machine Learning, Data Mining, Algorithms
4.6
Rating, 4.6 out of 5 stars
607 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Everyday Excel, Part 2
Skills you'll gain: Regression Analysis, Depreciation, Microsoft Excel, Statistical Modeling, Excel Formulas, Financial Analysis, Cash Flows, Predictive Modeling, Data Management, Financial Modeling, Business Mathematics, Financial Forecasting, Process Optimization, Data Analysis, Complex Problem Solving
4.7
Rating, 4.7 out of 5 stars
561 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Precalculus through Data and Modelling
Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, Analytical Skills, R Programming, General Mathematics, Statistics, Algebra, Systems Of Measurement, Correlation Analysis, Regression Analysis, Calculus, Geometry
4.7
Rating, 4.7 out of 5 stars
304 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Statistics for Genomic Data Science
Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistical Modeling, R Programming, Probability & Statistics, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Data Processing
4.2
Rating, 4.2 out of 5 stars
373 reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
Wesleyan University
Data Management and Visualization
Skills you'll gain: Descriptive Statistics, Data Manipulation, Data Presentation, Data Management, Data Literacy, Graphing, SAS (Software), Peer Review, Data Analysis, Statistics, Research Reports, Exploratory Data Analysis, Python Programming
4.4
Rating, 4.4 out of 5 stars
937 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
University of California, Davis
Quantitative Research
Skills you'll gain: Surveys, Survey Creation, Quantitative Research, Statistical Analysis, Marketing Analytics, Market Research, Statistical Methods, Data Analysis, Marketing, Target Market, Sample Size Determination, Quality Control
4.4
Rating, 4.4 out of 5 stars
337 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Pennsylvania
Wharton Business and Financial Modeling Capstone
Skills you'll gain: Portfolio Management, Financial Modeling, Presentations, Microsoft PowerPoint, Investment Management, Business Modeling, Data Modeling, Business Analytics, Risk Modeling, Microsoft Excel, Financial Analysis, Regression Analysis
4.6
Rating, 4.6 out of 5 stars
498 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
Duke University
Managing Machine Learning Projects
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Technical Management, Applied Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Software Development Life Cycle, Machine Learning, Data Cleansing, Data Pipelines, Technology Solutions, Data Collection, Data Science, Systems Architecture, Feature Engineering, Solution Design, Software Versioning
4.8
Rating, 4.8 out of 5 stars
251 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Illinois Urbana-Champaign
Exploring and Producing Data for Business Decision Making
Skills you'll gain: Descriptive Statistics, Sampling (Statistics), Probability Distribution, Business Analytics, Statistics, Microsoft Excel, Analytics, Statistical Inference, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Statistical Analysis, Histogram, Data Collection, Data Presentation, Graphing
4.8
Rating, 4.8 out of 5 stars
1K reviews
Beginner · Course · 1 - 3 Months