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

University of Colorado Boulder
R Programming and Tidyverse Capstone Project
Skills you'll gain: R Programming, Rmarkdown, Tidyverse (R Package), Ggplot2, Data Import/Export, Data Analysis, Data Visualization Software, Data Science, Data Manipulation, Data Storytelling, Statistical Analysis, Data Cleansing, Data Integration, Data Transformation
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Data Visualization & Storytelling in Python
Skills you'll gain: Data Storytelling, Plotly, Data Presentation, Matplotlib, Interactive Data Visualization, Seaborn, Data Visualization, Data Visualization Software, Statistical Visualization, Scatter Plots
5
Rating, 5 out of 5 stars
6 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free
Google Cloud
Introduction to Generative AI - 日本語版
Skills you'll gain: Generative AI, Application Development, Google Cloud Platform, Artificial Intelligence, Machine Learning
4.6
Rating, 4.6 out of 5 stars
9 reviews
Beginner · Course · 1 - 4 Weeks
University of California, Davis
Sensory Science: Measuring the Senses
Skills you'll gain: Scientific Methods, Systems Of Measurement, Experimentation, Statistical Analysis, Quantitative Research, Human Factors, Psychology, Research Methodologies, Neurology, Product Testing, Anatomy, Biology
4
Rating, 4 out of 5 stars
8 reviews
Beginner · Course · 1 - 4 Weeks
Icahn School of Medicine at Mount Sinai
Systems Biology and Biotechnology Capstone
Skills you'll gain: Data Synthesis, Network Analysis, Biology, Data Integration, Statistical Analysis, Biochemistry, Life Sciences, Bioinformatics, Laboratory Experience, Systems Integration, Molecular Biology, Systems Analysis, Research, Simulation and Simulation Software, Mathematical Modeling
4.5
Rating, 4.5 out of 5 stars
12 reviews
Mixed · Course · 1 - 4 Weeks
Rice University
Finances pour les professionnels non financiers
Skills you'll gain: Capital Budgeting, Financial Analysis, Cash Flows, Business Valuation, Finance, Financial Modeling, Return On Investment, Financial Statements, Financial Management, Corporate Finance, Risk Analysis, Working Capital, Investments
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Data Literacy Capstone – Evaluating Research
Skills you'll gain: Peer Review, Data Literacy, Research, Quantitative Research, Report Writing, Analytical Skills, Research Methodologies, Data Analysis, Statistical Analysis
Intermediate · Course · 1 - 4 Weeks
Status: Free
Coursera Project Network
Choisir la Meilleure Méthode pour Illustrer les Données
Skills you'll gain: Datamaps, Interactive Data Visualization, Heat Maps, Data Visualization Software, Statistical Visualization, Data Storytelling, Data Presentation, Data Wrangling, Data Access, Correlation Analysis, Scatter Plots, Exploratory Data Analysis
4.3
Rating, 4.3 out of 5 stars
9 reviews
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
Tidy Messy Data using tidyr in R
Skills you'll gain: Ggplot2, Data Cleansing, Tidyverse (R Package), Data Wrangling, Data Transformation, Data Visualization, R Programming, Data Manipulation, Pivot Tables And Charts
4.6
Rating, 4.6 out of 5 stars
10 reviews
Intermediate · Guided Project · Less Than 2 Hours
Utrecht University
The exposome: cracking the science about what makes us sick
Skills you'll gain: Epidemiology, Environmental Monitoring, Biostatistics, Public Health, Environmental Science, Data Science, Statistical Analysis, Cardiology, Bioinformatics, Chronic Diseases, Research, Nutrition and Diet
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Data Analysis with Python Project
Skills you'll gain: Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Regression Analysis, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Exploratory Data Analysis, Statistical Methods
5
Rating, 5 out of 5 stars
6 reviews
Intermediate · Course · 1 - 3 Months
Status: New
Northeastern University
Foundations of Statistical Learning & Algorithms
Skills you'll gain: Linear Algebra, Statistical Machine Learning, Statistical Modeling, Probability, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Algebra
Mixed · Course · 1 - 4 Weeks

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

R Programming and Tidyverse Capstone Project: University of Colorado Boulder
Data Visualization & Storytelling in Python: Coursera Project Network
Introduction to Generative AI - 日本語版: Google Cloud
Sensory Science: Measuring the Senses: University of California, Davis
Systems Biology and Biotechnology Capstone: Icahn School of Medicine at Mount Sinai
Finances pour les professionnels non financiers: Rice University
Data Literacy Capstone – Evaluating Research: Johns Hopkins University
Choisir la Meilleure Méthode pour Illustrer les Données: Coursera Project Network
Tidy Messy Data using tidyr in R: Coursera Project Network
The exposome: cracking the science about what makes us sick: Utrecht University

Statistical Inference Courses Online