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
Tidyverse Skills for Data Science in R
Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Statistical Visualization, Sampling (Statistics), Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Web Scraping, Data Integration, Data Cleansing, Data Transformation
4.5
Rating, 4.5 out of 5 stars
104 reviews
Beginner · Specialization · 3 - 6 Months
University of California San Diego
Genomic Data Science and Clustering (Bioinformatics V)
Skills you'll gain: Bioinformatics, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Molecular Biology, Data Mining, Machine Learning, Data Analysis Software, Life Sciences, Algorithms, Exploratory Data Analysis, Probability & Statistics
4.2
Rating, 4.2 out of 5 stars
92 reviews
Intermediate · Course · 1 - 4 Weeks
University of Michigan
The Total Data Quality Framework
Skills you'll gain: Data Quality, Data Cleansing, Data Collection, Data Validation, Data Analysis, Data Processing, Threat Detection, Data Access, Sampling (Statistics)
4.6
Rating, 4.6 out of 5 stars
45 reviews
Beginner · Course · 1 - 4 Weeks
Yonsei University
Big Data Emerging Technologies
Skills you'll gain: Apache Spark, Big Data, SPSS, Analytics, Real Time Data, Apache Hadoop, Data Processing, Business Analytics, Statistical Analysis, Data Analysis Software, Business Strategy, Market Share, Scalability, Machine Learning Algorithms
4.7
Rating, 4.7 out of 5 stars
299 reviews
Beginner · Course · 1 - 3 Months
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
National Taiwan University
Operations Research (3): Theory
Skills you'll gain: Operations Research, Network Model, Statistical Machine Learning, Applied Mathematics, Mathematical Modeling, Machine Learning, Transportation Operations, Process Optimization, Advanced Mathematics, Linear Algebra, Algorithms
4.9
Rating, 4.9 out of 5 stars
91 reviews
Advanced · Course · 1 - 3 Months
Microsoft
Preparing for AI-900: Microsoft Azure AI Fundamentals exam
Skills you'll gain: Natural Language Processing, Microsoft Azure, Large Language Modeling, Computer Vision, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Artificial Intelligence, Data Science
4.7
Rating, 4.7 out of 5 stars
137 reviews
Beginner · Course · 1 - 4 Weeks
University of Minnesota
Introduction to Predictive Modeling
Skills you'll gain: Time Series Analysis and Forecasting, Predictive Modeling, Regression Analysis, Microsoft Excel, Forecasting, Pivot Tables And Charts, Data Transformation, Trend Analysis, Data Cleansing, Statistical Methods, Performance Metric
4.8
Rating, 4.8 out of 5 stars
134 reviews
Mixed · Course · 1 - 4 Weeks
Meta
Introduction to Data Management
Skills you'll gain: Data Management, Data Collection, Data Governance, Data Analysis, Information Privacy, Data Quality, Data Storage, Data Security, Data-Driven Decision-Making, Data Architecture, Data Visualization Software, Big Data, Machine Learning
4.8
Rating, 4.8 out of 5 stars
91 reviews
Beginner · Course · 1 - 4 Weeks
The University of Edinburgh
Data Ethics, AI and Responsible Innovation
Skills you'll gain: Data Ethics, Law, Regulation, and Compliance, Data Security, Information Privacy, Data Governance, Big Data, Analytical Skills, Ethical Standards And Conduct, Artificial Intelligence, Machine Learning, Social Sciences, Diversity Awareness, Accountability, Decision Making, Innovation, Algorithms
5
Rating, 5 out of 5 stars
20 reviews
Intermediate · Course · 1 - 3 Months
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
Imperial College London
Validity and Bias in Epidemiology
Skills you'll gain: Research Design, Epidemiology, Data Collection, Biostatistics, Research Methodologies, Research, Public Health, Correlation Analysis, Statistical Analysis
4.9
Rating, 4.9 out of 5 stars
243 reviews
Intermediate · Course · 1 - 4 Weeks