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

DeepLearning.AI
Advanced Learning Algorithms
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Algorithms, Performance Tuning
4.9
Rating, 4.9 out of 5 stars
7.7K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
University of London
Probability and Statistics: To p or not to p?
Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Methods, Statistical Hypothesis Testing, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Statistical Visualization, Probability Distribution, Statistical Analysis, Data Presentation, Sampling (Statistics), Statistical Inference, Mathematical Modeling, Decision Tree Learning, Applied Mathematics
4.6
Rating, 4.6 out of 5 stars
1.5K reviews
Beginner · Course · 1 - 3 Months
IBM
AI Foundations for Everyone
Skills you'll gain: ChatGPT, Generative AI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, IBM Cloud, Private Cloud, Data Loss Prevention, Deep Learning, WordPress, Artificial Neural Networks, Cloud Services, Application Deployment, Governance, Machine Learning, Business Transformation, Ethical Standards And Conduct, Software Development Tools, Image Analysis
4.7
Rating, 4.7 out of 5 stars
25K reviews
Beginner · Specialization · 3 - 6 Months
Duke University
Bayesian Statistics
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Probability Distribution
3.8
Rating, 3.8 out of 5 stars
796 reviews
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Summary Statistics in Public Health
Skills you'll gain: Biostatistics, Histogram, Box Plots, Statistical Visualization, Medical Science and Research, Quantitative Research, Descriptive Statistics, Probability & Statistics, Research Design, Statistical Methods, Probability Distribution, Science and Research, Sampling (Statistics), Statistical Inference, Analysis, Sample Size Determination
4.8
Rating, 4.8 out of 5 stars
2K reviews
Beginner · Course · 1 - 3 Months
Rice University
Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions
Skills you'll gain: Descriptive Statistics, Probability & Statistics, Probability Distribution, Business Analytics, Statistical Methods, Microsoft Excel, Data Analysis, Statistical Analysis, Sampling (Statistics), Histogram, Correlation Analysis, Variance Analysis
4.7
Rating, 4.7 out of 5 stars
2.6K reviews
Mixed · Course · 1 - 4 Weeks
Google
Process Data from Dirty to Clean
Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Validation, Data Analysis, Data Processing, Data Manipulation, SQL, Data Transformation, Spreadsheet Software
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Course · 1 - 3 Months
University of Amsterdam
Inferential Statistics
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Software, Statistical Analysis, Statistical Methods, Quantitative Research, Sampling (Statistics), Probability & Statistics, Regression Analysis, Probability Distribution
4.3
Rating, 4.3 out of 5 stars
597 reviews
Mixed · Course · 1 - 3 Months
Arizona State University
Experimental Design Basics
Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Software, A/B Testing, Data Analysis, Estimation, Descriptive Statistics, Quality Control, Variance Analysis
4.7
Rating, 4.7 out of 5 stars
294 reviews
Intermediate · Course · 1 - 3 Months
Rice University
Business Applications of Hypothesis Testing and Confidence Interval Estimation
Skills you'll gain:
4.8
Rating, 4.8 out of 5 stars
1.3K reviews
Mixed · Course · 1 - 4 Weeks
Johns Hopkins University
Mathematical Biostatistics Boot Camp 2
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Biostatistics, Data Analysis
4.3
Rating, 4.3 out of 5 stars
133 reviews
Mixed · Course · 1 - 4 Weeks
Illinois Tech
Statistical Learning
Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Methods, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Feature Engineering, Dimensionality Reduction
Build toward a degree
Intermediate · Course · 1 - 3 Months