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

University of Washington
Social Media Data Analytics
Skills you'll gain: R Programming, Text Mining, Statistical Analysis, Correlation Analysis, Web Scraping, Regression Analysis, Analytics, Big Data, Data Analysis, Data Mining, Unstructured Data, Data Visualization Software, Data Collection, Application Programming Interface (API), Natural Language Processing, Python Programming
4.1
Rating, 4.1 out of 5 stars
293 reviews
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Understanding Data: Navigating Statistics, Science, and AI
Skills you'll gain: Histogram, Generative AI, Data Visualization, Data Presentation, Statistical Hypothesis Testing, Scientific Methods, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Data Ethics, Experimentation, Science and Research, Data-Driven Decision-Making, Research Design, Analytical Skills, Research, Exploratory Data Analysis, Artificial Intelligence, OpenAI
4.6
Rating, 4.6 out of 5 stars
24 reviews
Beginner · Specialization · 1 - 3 Months
Status: Free
Erasmus University Rotterdam
Studying Cities: Social Science Methods for Urban Research
Skills you'll gain: Research, Research Methodologies, Data Collection, Research Design, Data Analysis, Qualitative Research, Statistical Analysis, Social Sciences, Experimentation, Survey Creation, Interviewing Skills
4.7
Rating, 4.7 out of 5 stars
224 reviews
Mixed · Course · 1 - 3 Months
DeepLearning.AI
Device-based Models with TensorFlow Lite
Skills you'll gain: iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Application Deployment, Applied Machine Learning, Deep Learning, Embedded Systems, Computer Vision, Machine Learning
4.7
Rating, 4.7 out of 5 stars
652 reviews
Intermediate · Course · 1 - 4 Weeks
DeepLearning.AI
Applied Statistics for Data Analytics
Skills you'll gain: Statistical Analysis, Data Analysis, Statistics, Sampling (Statistics), Descriptive Statistics, Statistical Visualization, Histogram, Box Plots, Probability Distribution, Statistical Inference, Probability, Statistical Methods, Statistical Hypothesis Testing, Simulations, Correlation Analysis, Real Time Data
Beginner · Course · 1 - 4 Weeks
Status: Free
University of Geneva
Simulation and modeling of natural processes
Skills you'll gain: Simulations, Python Programming, Statistical Methods, Numerical Analysis, Mathematical Modeling, Probability Distribution, Visualization (Computer Graphics), Mechanics, Artificial Intelligence
4.3
Rating, 4.3 out of 5 stars
394 reviews
Mixed · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Applying Data Analytics in Finance
Skills you'll gain: Financial Data, Time Series Analysis and Forecasting, Portfolio Management, Performance Measurement, Financial Forecasting, Trend Analysis, Financial Analysis, Analytics, Forecasting, Financial Market, Statistical Analysis, Investment Management, Risk Management, Equities, Regression Analysis
4.4
Rating, 4.4 out of 5 stars
216 reviews
Intermediate · Course · 1 - 3 Months
EDHEC Business School
Advanced Portfolio Construction and Analysis with Python
Skills you'll gain: Portfolio Management, Investment Management, Financial Modeling, Financial Analysis, Asset Management, Financial Market, Estimation, Statistical Methods, Python Programming, Risk Analysis, Risk Management, Time Series Analysis and Forecasting
4.7
Rating, 4.7 out of 5 stars
505 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Exploratory Data Analysis With Python and Pandas
Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, NumPy, Statistical Analysis
4.5
Rating, 4.5 out of 5 stars
429 reviews
Beginner · Guided Project · Less Than 2 Hours
University of Pennsylvania
Wharton Business and Financial Modeling Capstone
Skills you'll gain: Portfolio Management, Financial Modeling, Presentations, Microsoft PowerPoint, Investment Management, Business Modeling, Data Modeling, Quantitative Research, Business Analytics, Risk Modeling, Microsoft Excel, Financial Analysis, Regression Analysis
4.6
Rating, 4.6 out of 5 stars
496 reviews
Mixed · Course · 1 - 3 Months
UNSW Sydney (The University of New South Wales)
Remote Sensing Image Acquisition, Analysis and Applications
Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Linear Algebra, Deep Learning, Supervised Learning, Statistical Methods, Data Cleansing, Artificial Neural Networks
4.7
Rating, 4.7 out of 5 stars
164 reviews
Intermediate · Course · 3 - 6 Months
University of Illinois Urbana-Champaign
Operations Management: Quality and Supply Chain
Skills you'll gain: Process Improvement, Supply Chain Management, Operations Management, Supply Chain Planning, Statistical Process Controls, Transportation, Supply Chain, and Logistics, Business Process Improvement, Continuous Improvement Process, Emerging Technologies, Inventory Management System, Quality Management, Vendor Contracts, Corporate Sustainability
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
1.2K reviews
Intermediate · Course · 1 - 3 Months