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
Johns Hopkins University
Statistical Inference
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Statistical Modeling, Statistics, Probability & Statistics, Probability, Probability Distribution, Sampling (Statistics)
4.2
Rating, 4.2 out of 5 stars
4.4K reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
Meta
Statistics Foundations
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Marketing Analytics, Statistical Inference, Statistics, Statistical Modeling, Sampling (Statistics), Probability & Statistics, Business Analytics, Statistical Analysis, Statistical Methods, Tableau Software, Quantitative Research, Data Analysis, Exploratory Data Analysis, Regression Analysis, Time Series Analysis and Forecasting
4.7
Rating, 4.7 out of 5 stars
352 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
IBM
What is Data Science?
Skills you'll gain: Data Literacy, Data Mining, Data Analysis, Data Science, Data-Driven Decision-Making, Big Data, Data Management, Analytics, Data Storage, Machine Learning, Deep Learning, Artificial Intelligence
4.7
Rating, 4.7 out of 5 stars
76K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
DeepLearning.AI
Mathematics for Machine Learning and Data Science
Skills you'll gain: Linear Algebra, Descriptive Statistics, Statistical Hypothesis Testing, Bayesian Statistics, Probability Distribution, Probability & Statistics, Sampling (Statistics), Calculus, Applied Mathematics, Advanced Mathematics, A/B Testing, Statistics, Probability, Numerical Analysis, Mathematical Modeling, Statistical Analysis, Data Science, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning
4.6
Rating, 4.6 out of 5 stars
2.8K reviews
Intermediate · Specialization · 1 - 3 Months
Status: New
Status: Free Trial
Google
Google Prompting Essentials
Skills you'll gain: Data Visualization, Prompt Engineering, Data Presentation, Graphing, ChatGPT, Generative AI Agents, Generative AI, AI Personalization, Spreadsheet Software, Concision, Artificial Intelligence, Ideation, Report Writing, Business Correspondence, Complex Problem Solving, Document Management, Solution Design, Critical Thinking, Human Centered Design, Machine Learning
4.8
Rating, 4.8 out of 5 stars
1.8K reviews
Beginner · Specialization · 1 - 4 Weeks
Status: Free Trial
Stanford University
AI in Healthcare
Skills you'll gain: Healthcare Ethics, Clinical Data Management, Clinical Research, Health Systems, Healthcare Industry Knowledge, Unstructured Data, Feature Engineering, Data Mining, Medical Records, Health Informatics, Data Ethics, Health Care Administration, Health Care, Machine Learning Algorithms, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Machine Learning, Regulatory Compliance, Artificial Intelligence
4.7
Rating, 4.7 out of 5 stars
2.2K reviews
Beginner · Specialization · 3 - 6 Months

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Status: Preview
Duke University
Data Science Math Skills
Skills you'll gain: Probability, General Mathematics, Bayesian Statistics, Calculus, Graphing, Descriptive Statistics, Algebra, Derivatives
4.5
Rating, 4.5 out of 5 stars
13K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
IBM
Machine Learning with Python
Skills you'll gain: Unsupervised Learning, Supervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Regression Analysis, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Decision Tree Learning, Python Programming, Data Pipelines, Dimensionality Reduction, Random Forest Algorithm, Feature Engineering
4.7
Rating, 4.7 out of 5 stars
18K reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
IBM
IBM AI Engineering
Skills you'll gain: Prompt Engineering, Large Language Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), Keras (Neural Network Library), Supervised Learning, Applied Machine Learning, Generative AI, Deep Learning, Natural Language Processing, Reinforcement Learning, Scikit Learn (Machine Learning Library), Regression Analysis, Generative AI Agents, Artificial Neural Networks, Machine Learning Algorithms, ChatGPT, Machine Learning, Python Programming, Data Science
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
21K reviews
Intermediate · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
Introduction to Data Analytics
Skills you'll gain: Data Storytelling, Data Visualization, Extract, Transform, Load, Data Visualization Software, Data Analysis, Statistical Analysis, Big Data, Data Wrangling, Data Processing, Data Mining, Analytics, Data Warehousing, Business Analytics, Data Science, Data Cleansing, Data Lakes, Microsoft Excel
4.8
Rating, 4.8 out of 5 stars
19K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Genomic Data Science
Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Molecular Biology, Exploratory Data Analysis, Statistical Analysis, Unix, Programming Principles, Data Management, Correlation Analysis, Statistical Methods, Command-Line Interface, Science and Research, Statistical Hypothesis Testing, Data Analysis Software, Data Structures, R Programming, Computational Thinking, Jupyter, Python Programming
4.5
Rating, 4.5 out of 5 stars
6.7K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Imperial College London
Mathematics for Machine Learning
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Probability & Statistics, Integral Calculus, Machine Learning Methods, Statistical Analysis, Statistics, Advanced Mathematics, Jupyter, Machine Learning Algorithms, Data Science, Mathematical Modeling, Applied Mathematics, Geometry, Artificial Neural Networks, Python Programming, Algorithms
4.6
Rating, 4.6 out of 5 stars
15K reviews
Beginner · Specialization · 3 - 6 Months