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 Michigan
Logistic Regression and Prediction for Health Data
Skills you'll gain: Statistical Inference, Predictive Analytics, R Programming, Probability & Statistics, Statistical Modeling, Classification And Regression Tree (CART), Statistical Methods, Biostatistics, Regression Analysis, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Risk Analysis, Descriptive Statistics
Intermediate · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Finance of Mergers and Acquisitions: Designing an M&A Deal
Skills you'll gain: Mergers & Acquisitions, Private Equity, Business Valuation, Investment Banking, Price Negotiation, Capital Markets, Accounting, Corporate Tax, Corporate Strategy, Financial Modeling, Financial Management, Corporate Finance, Strategic Planning, Financial Analysis
4.6
Rating, 4.6 out of 5 stars
54 reviews
Intermediate · Course · 1 - 3 Months
Rutgers the State University of New Jersey
Demand Analytics
Skills you'll gain: Demand Planning, Data Collection, Forecasting, Supply Chain Planning, Statistical Modeling, Data Processing, Market Dynamics, Time Series Analysis and Forecasting, Trend Analysis, Regression Analysis, Exploratory Data Analysis, Data Validation, Data Analysis Software
4.6
Rating, 4.6 out of 5 stars
290 reviews
Beginner · Course · 1 - 4 Weeks
University of Pennsylvania
Statistics for Data Science Essentials
Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics
4.7
Rating, 4.7 out of 5 stars
7 reviews
Intermediate · Course · 1 - 4 Weeks
Microsoft
Microsoft Azure Machine Learning
Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Regression Analysis, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Artificial Intelligence, Automation, Supervised Learning
4.4
Rating, 4.4 out of 5 stars
229 reviews
Beginner · Course · 1 - 4 Weeks
University of Michigan
Llama for Python Programmers
Skills you'll gain: Large Language Modeling, Prompt Engineering, Application Development, Generative AI, Python Programming, Natural Language Processing, Open Source Technology
4.7
Rating, 4.7 out of 5 stars
15 reviews
Intermediate · Course · 1 - 4 Weeks
Duke University
Financing for Startup Businesses
Skills you'll gain: FinTech, Entrepreneurial Finance, Fundraising and Crowdsourcing, Financial Analysis, Equities, Financial Modeling, Private Equity, Credit Risk, Liquidation
4.5
Rating, 4.5 out of 5 stars
207 reviews
Intermediate · Course · 1 - 4 Weeks
IBM
Data Visualization with R
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Dashboard, Ggplot2, Plot (Graphics), Shiny (R Package), R Programming, Leaflet (Software), Graphing, Scatter Plots, Box Plots, Spatial Data Analysis, Histogram, UI Components, User Interface (UI)
4.6
Rating, 4.6 out of 5 stars
259 reviews
Beginner · Course · 1 - 4 Weeks
Status: New
Microsoft
Data Visualization Fundamentals
Skills you'll gain: Data Storytelling, Data Presentation, Power BI, Data Visualization Software, Interactive Data Visualization, Statistical Visualization, Dashboard, Data-Driven Decision-Making, Business Intelligence, Pivot Tables And Charts, Data Analysis, Scatter Plots, Histogram
4.6
Rating, 4.6 out of 5 stars
48 reviews
Beginner · Course · 1 - 4 Weeks
University of Houston
Math behind Moneyball
Skills you'll gain: Probability & Statistics, Statistical Methods, Statistics, Microsoft Excel, Predictive Analytics, Game Theory, Spreadsheet Software, Predictive Modeling, Excel Formulas, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Advanced Analytics, Data-Driven Decision-Making, Data Analysis, Analytics, Data Analysis Software, Business Mathematics, Simulations, Forecasting
4.5
Rating, 4.5 out of 5 stars
97 reviews
Beginner · Course · 1 - 3 Months
SAS
Data Analysis and Reporting in SAS Visual Analytics
Skills you'll gain: Trend Analysis, Data Manipulation, Data Analysis, SAS (Software), Exploratory Data Analysis, Data Visualization, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Visualization Software, Data Presentation, Business Reporting, Graphing
4.8
Rating, 4.8 out of 5 stars
356 reviews
Mixed · Course · 1 - 4 Weeks
University of Colorado Boulder
Predictive Modeling and Analytics
Skills you'll gain: Predictive Analytics, Data Visualization, Data Modeling, Business Analytics, Data Analysis, Statistical Modeling, Data-Driven Decision-Making, Regression Analysis, Machine Learning Methods, Supervised Learning, Decision Tree Learning, Data Cleansing, Artificial Neural Networks
3.6
Rating, 3.6 out of 5 stars
601 reviews
Intermediate · Course · 1 - 4 Weeks