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

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Explore the Statistical Inference Course Catalog

Status: Free
University of California, Irvine
데이터 스토리텔링
Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Tableau Software, Exploratory Data Analysis, Correlation Analysis, Data Ethics, Advanced Analytics, Data Integrity
Mixed · Course · 1 - 4 Weeks
Packt
Advanced Generative Adversarial Networks (GANs)
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Tensorflow, Keras (Neural Network Library), Computer Vision, Jupyter, Machine Learning, Matplotlib, NumPy
Advanced · Course · 3 - 6 Months
Status: Free
University of Maryland, College Park
Cómo manejar datos faltantes
Skills you'll gain: Sampling (Statistics), Data Cleansing, Data Quality, Stata, Statistical Analysis, Statistical Software, Statistical Methods, Data Analysis, Regression Analysis, Data Integrity, R Programming, Probability & Statistics
Mixed · Course · 1 - 3 Months
Coursera Project Network
Machine/Deep Learning for Mining Quality Prediction-Enhanced
Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Applied Machine Learning, Data Processing, Scikit Learn (Machine Learning Library), Data Analysis, Matplotlib, Machine Learning, Decision Tree Learning, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Analysis
Beginner · Guided Project · Less Than 2 Hours
Status: Free
Coursera Instructor Network
GenAI for Customer Service Representatives
Skills you'll gain: Generative AI, Personalized Service, Customer Service, ChatGPT, Customer Engagement, Customer Insights, Customer Communications Management, Service Improvement, Business Ethics, Natural Language Processing, Operational Efficiency, Machine Learning
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Household Surveys for Program Evaluation in LMICs
Skills you'll gain: Survey Creation, Sampling (Statistics), Program Evaluation, Data Management, Data Collection, Data Analysis, Data Cleansing, Quantitative Research, Data Quality, Research Design, Sample Size Determination, Data Mapping, Data Ethics, Probability & Statistics
Intermediate · Course · 1 - 3 Months
Status: Free
Oracle
Oracle Cloud Infrastructure Generative AI Professional
Skills you'll gain: Generative AI, Oracle Cloud, Semantic Web, Artificial Intelligence, Natural Language Processing, Deep Learning, Python Programming, Application Development, Machine Learning
Intermediate · Course · 1 - 4 Weeks
DeepLearning.AI
Réseaux neuronaux convolutifs
Skills you'll gain: Computer Vision, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Dimensionality Reduction, Visualization (Computer Graphics), Applied Machine Learning, Network Architecture, Machine Learning, Algorithms
Intermediate · Course · 1 - 4 Weeks
University of Minnesota
Social Determinants of Health: Methodological Opportunities
Skills you'll gain: Statistical Analysis, Social Sciences, Research Methodologies, Data Analysis, Policy Analysis, Research, Program Evaluation, Health Assessment, Community and Social Work, Health Care, Health Information Management and Medical Records, Data Visualization
Beginner · Course · 1 - 3 Months
Coursera Project Network
Оценка акций через модель дисконтирования дивидендов
Skills you'll gain: Business Valuation, Equities, Finance, Financial Analysis, Financial Modeling, Financial Data
Intermediate · Guided Project · Less Than 2 Hours
Status: Free
Amazon Web Services
Planning a Machine Learning Project
Skills you'll gain: Feasibility Studies, Business Analysis, Business Analytics, Decision Making, Strategic Decision-Making, Applied Machine Learning, Data-Driven Decision-Making, Machine Learning, Strategic Thinking, Program Evaluation, Business Leadership, Strategic Leadership, Project Planning
4.7
Rating, 4.7 out of 5 stars
6 reviews
Mixed · Course · 1 - 4 Weeks
Google Cloud
Responsible AI for Developers: Privacy & Safety
Skills you'll gain: Information Privacy, Generative AI, Data Ethics, Google Cloud Platform, Personally Identifiable Information, Data Security, Artificial Intelligence and Machine Learning (AI/ML), Cloud Security, Safety and Security, Artificial Intelligence, Encryption, Machine Learning
4.6
Rating, 4.6 out of 5 stars
7 reviews
Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular statistical inference courses

데이터 스토리텔링: University of California, Irvine
Advanced Generative Adversarial Networks (GANs): Packt
Cómo manejar datos faltantes: University of Maryland, College Park
Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera Project Network
GenAI for Customer Service Representatives: Coursera Instructor Network
Household Surveys for Program Evaluation in LMICs: Johns Hopkins University
Oracle Cloud Infrastructure Generative AI Professional: Oracle
Réseaux neuronaux convolutifs: DeepLearning.AI
Social Determinants of Health: Methodological Opportunities: University of Minnesota
Оценка акций через модель дисконтирования дивидендов: Coursera Project Network

Statistical Inference Courses Online