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

University at Buffalo
Intelligent Machining
Skills you'll gain: Control Systems, Machine Controls, Manufacturing Processes, Internet Of Things, Automation, Software Systems, Real Time Data, Artificial Intelligence, Machine Learning, Open Source Technology
4.6
Rating, 4.6 out of 5 stars
1.4K reviews
Beginner · Course · 1 - 4 Weeks
Status: New
Packt
Lean Six Sigma - Green Belt
Skills you'll gain: Lean Six Sigma, Process Mapping, Process Improvement, Quality Improvement, Business Process, Continuous Improvement Process, Waste Minimization, Quality Management, Operational Efficiency, Statistical Process Controls, Root Cause Analysis, Data-Driven Decision-Making, Customer experience improvement, Business Metrics
4.6
Rating, 4.6 out of 5 stars
8 reviews
Beginner · Course · 1 - 4 Weeks
University of Michigan
Total Data Quality
Skills you'll gain: Data Quality, Quantitative Research, Data Validation, Data Integrity, Data Collection, Data Cleansing, Quality Assurance, Data Processing, Data Analysis, Data Access, Statistical Analysis, Sampling (Statistics), Threat Detection, Statistical Methods
4.6
Rating, 4.6 out of 5 stars
52 reviews
Beginner · Specialization · 1 - 3 Months
King Abdullah University of Science and Technology
Fundamental Skills in Bioinformatics
Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, Statistical Methods, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Data Visualization, Programming Principles, Pandas (Python Package), Python Programming, NumPy, Data Manipulation, Data Structures
4.4
Rating, 4.4 out of 5 stars
59 reviews
Beginner · Course · 1 - 4 Weeks
Duke University
Human Factors in AI
Skills you'll gain: Data Ethics, Human Computer Interaction, User Experience Design, Human Centered Design, Human Factors, Personally Identifiable Information, Usability, Information Privacy, Artificial Intelligence, Design Thinking, Machine Learning, Law, Regulation, and Compliance
4.7
Rating, 4.7 out of 5 stars
119 reviews
Beginner · Course · 1 - 4 Weeks
University of Colorado Boulder
Battery State-of-Health (SOH) Estimation
Skills you'll gain: Estimation, Matlab, Failure Analysis, Electrical Substation, Laboratory Testing, Engineering Calculations, Mathematical Modeling, Statistical Methods, Simulations, Chemistry
4.7
Rating, 4.7 out of 5 stars
157 reviews
Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Cluster Analysis in Data Mining
Skills you'll gain: Unsupervised Learning, Data Mining, Data Validation, Applied Machine Learning, Machine Learning Algorithms, Data Analysis, Statistical Methods, Exploratory Data Analysis, Algorithms
4.5
Rating, 4.5 out of 5 stars
408 reviews
Mixed · Course · 1 - 3 Months
Arizona State University
Semiconductor Packaging
Skills you'll gain: Statistical Process Controls, Process Control, Semiconductors, Quality Assurance, Verification And Validation, Manufacturing Operations, Manufacturing Processes, Manufacturing Standards, Electronics, Process Analysis, Product Testing, Reliability, Electronic Components, Electronic Systems, Computer Hardware, Computer Architecture, Hardware Architecture, Thermal Management, Scalability, Electronics Engineering
4.7
Rating, 4.7 out of 5 stars
204 reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
Bioconductor for Genomic Data Science
Skills you'll gain: Bioinformatics, Data Analysis Software, R Programming, Statistical Programming, Programming Principles, Data Manipulation, Data Structures, Software Installation, Data Import/Export, Package and Software Management
3.8
Rating, 3.8 out of 5 stars
382 reviews
Mixed · Course · 1 - 4 Weeks
IBM
Scalable Machine Learning on Big Data using Apache Spark
Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage, Data Pipelines, Machine Learning Algorithms, Distributed Computing, Data Processing, Exploratory Data Analysis, Statistical Analysis
3.8
Rating, 3.8 out of 5 stars
1.3K reviews
Intermediate · Course · 1 - 4 Weeks
University of California, Davis
Computational Social Science Methods
Skills you'll gain: Social Sciences, Network Analysis, Data Science, Machine Learning, Computational Thinking, Economics, Policy, and Social Studies, Artificial Intelligence, Data Analysis, Simulations, Big Data, Scientific Methods
4.7
Rating, 4.7 out of 5 stars
342 reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Principles of fMRI 2
Skills you'll gain: Magnetic Resonance Imaging, Data Analysis, Analysis, Image Analysis, Statistical Analysis, Experimentation, Network Analysis, Research Design, Regression Analysis, Psychology, Time Series Analysis and Forecasting, Matlab, Mental and Behavioral Health, Neurology, Statistical Modeling, Statistical Methods, Research
4.7
Rating, 4.7 out of 5 stars
245 reviews
Mixed · Course · 1 - 4 Weeks