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
Columbia University
Computational Methods in Pricing and Model Calibration
Skills you'll gain: Regression Analysis, Derivatives, Financial Market, Statistical Methods, Financial Modeling, Securities (Finance), Mathematical Modeling, Numerical Analysis, Equities, Financial Data, Python Programming, Probability Distribution, Algorithms
4.4
Rating, 4.4 out of 5 stars
40 reviews
Intermediate · Course · 1 - 3 Months
University of Leeds
Statistical Methods
Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, Data Collection, Statistics, Statistical Inference, R Programming, Probability, Data Analysis, Probability Distribution, Simulations, Statistical Visualization, Descriptive Statistics
4.8
Rating, 4.8 out of 5 stars
9 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Michigan
Sampling People, Networks and Records
Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Quantitative Research, Statistical Methods, Statistical Software, Probability & Statistics, Probability, Research Methodologies, Network Analysis
4.3
Rating, 4.3 out of 5 stars
104 reviews
Beginner · Course · 1 - 3 Months
Ball State University
Introduction to Programming
Skills you'll gain: Data Analysis, Statistical Analysis, Computer Programming, Python Programming, Object Oriented Programming (OOP), Natural Language Processing, Data Science, Scripting, NumPy, Debugging, Data Manipulation
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
28 reviews
Beginner · Course · 1 - 3 Months
Status: New
Status: Free Trial
Microsoft
Data Analysis and Visualization with Python
Skills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Analysis, Scikit Learn (Machine Learning Library), Artificial Intelligence, Jupyter, Python Programming, Machine Learning
4.2
Rating, 4.2 out of 5 stars
34 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
DeepLearning.AI
Advanced Deployment Scenarios with TensorFlow
Skills you'll gain: Tensorflow, Application Deployment, MLOps (Machine Learning Operations), Deep Learning, Applied Machine Learning, Information Privacy, Web Servers, Artificial Neural Networks, Data Security, Data Visualization
4.8
Rating, 4.8 out of 5 stars
510 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Edureka
Learn Generative AI with LLMs
Skills you'll gain: Generative AI, Large Language Modeling, ChatGPT, Natural Language Processing, Computer Vision, Deep Learning, Predictive Modeling, Text Mining, Data Ethics, Image Analysis, Classification And Regression Tree (CART), Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Applied Machine Learning, Machine Learning Algorithms, OpenAI, Supervised Learning, Personally Identifiable Information
3.7
Rating, 3.7 out of 5 stars
41 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Building R Packages
Skills you'll gain: Open Source Technology, Package and Software Management, GitHub, Version Control, Rmarkdown, Software Documentation, Maintainability, Testability, R Programming, Knitr, Continuous Integration, Git (Version Control System), Technical Documentation
4.1
Rating, 4.1 out of 5 stars
223 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Minnesota
Introduction to Predictive Modeling
Skills you'll gain: Time Series Analysis and Forecasting, Predictive Modeling, Regression Analysis, Microsoft Excel, Forecasting, Pivot Tables And Charts, Data Transformation, Trend Analysis, Data Cleansing, Statistical Methods, Performance Metric
4.8
Rating, 4.8 out of 5 stars
135 reviews
Mixed · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
University of Michigan
Statistics with Python Using NumPy, Pandas, and SciPy
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Probability & Statistics, NumPy, Statistical Methods, Probability, Statistics, Probability Distribution, Statistical Analysis, Data Analysis, Histogram, Scatter Plots, Regression Analysis, Pandas (Python Package), Linear Algebra
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Maryland, College Park
Financial Management for Product Leaders
Skills you'll gain: Financial Statements, Financial Modeling, Proposal Writing, Corporate Finance, Business Metrics, Balance Sheet, Business Valuation, Entrepreneurial Finance, Internal Communications, Financial Management, Cost Benefit Analysis, Project Finance, Return On Investment, Financial Forecasting, Product Management, Presentations, Cash Flows, Innovation
4.5
Rating, 4.5 out of 5 stars
74 reviews
Beginner · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
DeepLearning.AI
Python for Data Analytics
Skills you'll gain: Pandas (Python Package), Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Data Analysis, Exploratory Data Analysis, Descriptive Statistics, NumPy, Data Manipulation, Programming Principles, Python Programming, Regression Analysis, Forecasting
Beginner · Course · 1 - 3 Months