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

Splunk Inc.
Splunk Search Expert
Skills you'll gain: Splunk, Correlation Analysis, Data Transformation, Data Manipulation, Data Visualization Software, Data Wrangling, Performance Tuning, Statistical Methods, Dashboard, Data Analysis Expressions (DAX), Statistical Analysis, Data Processing, Security Information and Event Management (SIEM), Data Analysis, Data Synthesis, Data Modeling, Ad Hoc Reporting, Time Series Analysis and Forecasting, Exploratory Data Analysis, Transaction Processing
4.6
Rating, 4.6 out of 5 stars
259 reviews
Beginner · Specialization · 3 - 6 Months
Imperial College London
Infectious Disease Modelling
Skills you'll gain: Epidemiology, Mathematical Modeling, Statistical Modeling, Simulations, Infectious Diseases, R Programming, Public Health, Differential Equations, Statistical Methods
4.8
Rating, 4.8 out of 5 stars
293 reviews
Intermediate · Specialization · 1 - 3 Months
Status: Free
National Taiwan University
人工智慧：搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic)
Skills you'll gain: Computational Logic, Artificial Intelligence, Simulations, Computational Thinking, Programming Principles, Theoretical Computer Science, Algorithms, Machine Learning, Data Structures
4.8
Rating, 4.8 out of 5 stars
314 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
The R Programming Environment
Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Data Science, Big Data, Text Mining, Data Import/Export, Programming Principles, Data Structures, Performance Tuning, Debugging, Application Programming Interface (API)
4.3
Rating, 4.3 out of 5 stars
1.2K reviews
Intermediate · Course · 1 - 3 Months
University of Washington
Data Science at Scale
Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Statistical Visualization, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Data Science, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Governance, Data Analysis, Predictive Modeling, Data Processing, Data Wrangling
4.2
Rating, 4.2 out of 5 stars
915 reviews
Intermediate · Specialization · 3 - 6 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, Asset Management, Capital Markets, Estimation, Financial Modeling, Statistical Modeling, Statistical Analysis, Probability & Statistics
4.6
Rating, 4.6 out of 5 stars
166 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Data Literacy
Skills you'll gain: Surveys, Survey Creation, Data Literacy, Data Analysis, Peer Review, Research Design, Statistics, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Research, Probability, Quantitative Research, Statistical Hypothesis Testing, Analytics, Probability Distribution, Analysis, Report Writing, Correlation Analysis, Statistical Inference
4.6
Rating, 4.6 out of 5 stars
247 reviews
Beginner · Specialization · 3 - 6 Months
Icahn School of Medicine at Mount Sinai
Introduction to Systems Biology
Skills you'll gain: Molecular Biology, Pharmacology, Biochemistry, Network Analysis, Biology, Systems Engineering, Bioinformatics, Mathematical Modeling, Systems Analysis, Simulation and Simulation Software, Differential Equations, Statistical Modeling
4.3
Rating, 4.3 out of 5 stars
570 reviews
Mixed · Course · 1 - 3 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, Data Science, Matlab, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Manipulation, Data Mapping, Scripting
4.8
Rating, 4.8 out of 5 stars
813 reviews
Beginner · Course · 1 - 3 Months
Wesleyan University
Data Management and Visualization
Skills you'll gain: Descriptive Statistics, Data Manipulation, Data Presentation, Data Management, Data Literacy, Graphing, SAS (Software), Peer Review, Data Analysis, Statistics, Research Reports, Exploratory Data Analysis, Python Programming
4.4
Rating, 4.4 out of 5 stars
937 reviews
Mixed · Course · 1 - 3 Months
University of California, Irvine
Supply Chain Planning
Skills you'll gain: Supply Chain Planning, Demand Planning, Customer Demand Planning, Supply Chain Management, Capacity Planning, Materials Management, Forecasting, Performance Measurement, Microsoft Excel, Data-Driven Decision-Making, Statistical Methods, Key Performance Indicators (KPIs), Meeting Facilitation, Communication Strategies
4.5
Rating, 4.5 out of 5 stars
244 reviews
Intermediate · Course · 1 - 4 Weeks
Rice University
Linear Regression for Business Statistics
Skills you'll gain: Statistical Hypothesis Testing, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Inference, Business Analytics, Microsoft Excel, Estimation, Data Analysis, Data Transformation
4.8
Rating, 4.8 out of 5 stars
1.4K reviews
Mixed · Course · 1 - 4 Weeks