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 Illinois Urbana-Champaign
Introduction to Accounting Data Analytics and Visualization
Skills you'll gain: Tableau Software, Data Visualization Software, Excel Macros, Analytics, Accounting and Finance Software, Analytical Skills, Pivot Tables And Charts, Accounting Systems, Business Analytics, Microsoft Excel, Data Analysis, Regression Analysis, Financial Modeling, Visual Basic (Programming Language)
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
441 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Clinical Trials Analysis, Monitoring, and Presentation
Skills you'll gain: Sample Size Determination, Clinical Trials, Clinical Research, Statistical Reporting, Sampling (Statistics), Biostatistics, Statistical Analysis, Data Analysis, Statistical Methods, Patient Safety, Bayesian Statistics, Data Presentation
4.7
Rating, 4.7 out of 5 stars
66 reviews
Beginner · Course · 1 - 3 Months
New York Institute of Finance
Market Risk Management: Frameworks & Strategies
Skills you'll gain: Risk Management, Risk Modeling, Financial Market, Derivatives, Investment Management, Portfolio Management, Risk Analysis, Market Data, Equities, Estimation, Financial Modeling, Statistical Methods, Probability & Statistics
4.6
Rating, 4.6 out of 5 stars
165 reviews
Beginner · Course · 1 - 3 Months
Wesleyan University
Data Management and Visualization
Skills you'll gain: Descriptive Statistics, Data Manipulation, Data Presentation, Data Management, Graphing, SAS (Software), Peer Review, Data Analysis, Statistics, Business Research, Statistical Methods, Research Reports, Exploratory Data Analysis, Computer Programming, Python Programming
4.4
Rating, 4.4 out of 5 stars
937 reviews
Mixed · Course · 1 - 3 Months
Status: New
DeepLearning.AI
Python for Data Analytics
Skills you'll gain: Data Visualization Software, Time Series Analysis and Forecasting, Descriptive Statistics, Pandas (Python Package), Statistics, Data Analysis, Jupyter, Scatter Plots, Data Manipulation, Statistical Analysis, Matplotlib, Histogram, Python Programming, Programming Principles, Forecasting, Data Structures
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Outbreaks and Epidemics
Skills you'll gain: Epidemiology, Infectious Diseases, Risk Analysis, Investigation, Biostatistics, Emergency Response, Research, Statistical Analysis, Mathematical Modeling, Report Writing
4.8
Rating, 4.8 out of 5 stars
749 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Using probability distributions for real world problems in R
Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Statistical Analysis, Statistical Hypothesis Testing, Data Analysis, Data Science, Probability
4.8
Rating, 4.8 out of 5 stars
28 reviews
Beginner · Guided Project · Less Than 2 Hours
University of California, Davis
SQL for Data Science Capstone Project
Skills you'll gain: Presentations, SQL, Descriptive Statistics, Data Storytelling, Peer Review, Exploratory Data Analysis, Statistical Analysis, Data Modeling, Business Analytics, Data Science, Key Performance Indicators (KPIs), Target Audience, Proposal Development
4.2
Rating, 4.2 out of 5 stars
236 reviews
Intermediate · Course · 1 - 4 Weeks
California Institute of the Arts
Building Your Freelancing Career
Skills you'll gain: Business Planning, Competitive Analysis, Financial Data, Service Improvement, Risk Management, Tax Preparation, Business Process Automation, Business Strategy, Contract Management, Peer Review, Process Improvement, Financial Analysis, Financial Forecasting, Small Business Accounting, Client Services, Financial Modeling, Market Analysis, Accounting, Team Management, Tax Compliance
4.7
Rating, 4.7 out of 5 stars
386 reviews
Beginner · Specialization · 3 - 6 Months
SAS
SAS Advanced Programmer
Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Data Access, Relational Databases, Program Development, Data Presentation, Scripting, Perl (Programming Language), Data Processing, Automation, Statistical Programming, Data Integration, Stored Procedure, Data Manipulation, Data Analysis, Data Transformation, Debugging
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
399 reviews
Intermediate · Professional Certificate · 3 - 6 Months
MathWorks
Exploratory Data Analysis with MATLAB
Skills you'll gain: Interactive Data Visualization, Data Import/Export, Technical Communication, Data Analysis, Exploratory Data Analysis, Data Visualization Software, Statistical Methods, Data Cleansing, Data-Driven Decision-Making, Matlab, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Manipulation, Data Mapping
4.8
Rating, 4.8 out of 5 stars
813 reviews
Beginner · Course · 1 - 3 Months
Universidad de los Andes
Introducción a la ciencia de datos aplicada
Skills you'll gain: Data Visualization, Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Python Programming, Descriptive Statistics, Statistical Modeling, Design Thinking, Data Manipulation
4.7
Rating, 4.7 out of 5 stars
395 reviews
Beginner · Course · 1 - 4 Weeks