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
Duke University
R을 사용한 확률 및 데이터 소개
Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R Programming, Bayesian Statistics, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics, Statistical Inference
Beginner · Course · 1 - 3 Months
SAS
머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정
Skills you'll gain: Machine Learning, Data Ethics, Predictive Modeling, Technical Communication, Predictive Analytics, Supervised Learning, Analytical Skills, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Regression Analysis, Data Validation, Statistical Analysis, Data Visualization, Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks
Status: New
Arm
Introduction to AI
Skills you'll gain: Artificial Intelligence, Machine Learning, Artificial Neural Networks, Computer Science, Deep Learning, Supervised Learning, Data Ethics, Natural Language Processing, Data Science
Beginner · Course · 1 - 3 Months
Universidad de los Andes
Visión artificial contemporánea
Skills you'll gain: Computer Vision, Image Analysis, Generative AI, Deep Learning, Augmented and Virtual Reality (AR/VR), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Computer Graphics, Machine Learning Methods, Network Architecture, Machine Learning
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
6 reviews
Intermediate · Course · 1 - 4 Weeks
University of Minnesota
Social Determinants of Health: Health Care Systems
Skills you'll gain: Health Equity, Health Disparities, Health Systems, Public Health, Healthcare Ethics, Public Health and Disease Prevention, Health Policy, Data Analysis, Community Health, Data Ethics, Correlation Analysis, Patient Education and Support, Heat Maps, Mental and Behavioral Health, Trauma Care, Mental Health, Socioeconomics
Beginner · Course · 1 - 3 Months
Status: New
Coursera Project Network
Machine Learning with PySpark: Recommender System
Skills you'll gain: PySpark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI, Pandas (Python Package), Data Transformation, Predictive Modeling, Unsupervised Learning, Applied Machine Learning, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours
University of Colorado Boulder
Data Wrangling with Python Project
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Integration, Data Processing, Data Collection, Data Validation, Data Cleansing, Data Quality, Data Analysis, Data Manipulation, Data Transformation, Pivot Tables And Charts, Data Visualization, Statistical Analysis, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months
Status: Free
University of Maryland, College Park
Cómo combinar y analizar datos complejos
Skills you'll gain: Data Integration, Data Synthesis, Data Ethics, R Programming, Statistical Software, Analytical Skills, Data Analysis Software, Statistical Methods, Statistical Programming, Statistical Analysis, Sampling (Statistics), Regression Analysis, Statistical Modeling, Probability & Statistics, Descriptive Statistics, Information Privacy
Mixed · Course · 1 - 4 Weeks
Status: New
Johns Hopkins University
Introduction to Neural Networks
Skills you'll gain: Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Computer Vision, Image Analysis, Machine Learning, Linear Algebra, Artificial Intelligence, Performance Tuning, Probability & Statistics
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Ein Crashkurs in Datenwissenschaft
Skills you'll gain: Data Science, Data Management, Organizational Effectiveness, Data-Driven Decision-Making, Data Analysis, Project Design, Data Presentation, Exploratory Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference
Mixed · Course · 1 - 4 Weeks
O.P. Jindal Global University
Text Mining for Marketing
Skills you'll gain: Text Mining, Data Ethics, Data Mining, Customer Insights, Marketing Analytics, Unstructured Data, Marketing, Brand Management, Natural Language Processing, Predictive Analytics, Machine Learning, Data Quality
Beginner · Course · 1 - 3 Months
Status: New
University of Michigan
NumPy and Pandas Basics for Future Data Scientists
Skills you'll gain: NumPy, Pandas (Python Package), Debugging, Data Manipulation, Python Programming, Data Cleansing, Data Structures, Descriptive Statistics
Intermediate · Course · 1 - 4 Weeks