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

Tecnológico de Monterrey
Analizar e incrementar - Parte 1
Skills you'll gain: Process Analysis, Six Sigma Methodology, Process Improvement, Lean Methodologies, Process Optimization, Operational Analysis, Business Process, Lean Manufacturing, Statistical Analysis, Analysis, Regression Analysis, Continuous Improvement Process, Statistical Methods, Statistical Inference
4.9
Rating, 4.9 out of 5 stars
42 reviews
Intermediate · Course · 1 - 4 Weeks
McMaster University
Finance For Everyone: Value
Skills you'll gain: Finance, Financial Analysis, Financial Market, Cash Flows, Financial Modeling, Investments, Business Valuation, Risk Management, Market Dynamics, Risk Analysis, Market Trend, Decision Making
4.7
Rating, 4.7 out of 5 stars
241 reviews
Mixed · Course · 1 - 4 Weeks
DeepLearning.AI
Réseaux neuronaux et Deep Learning
Skills you'll gain: Deep Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Machine Learning, Performance Tuning, Python Programming, NumPy, Linear Algebra, Algorithms
4.9
Rating, 4.9 out of 5 stars
18 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Peking University
医学统计学与SPSS软件（基础篇）
Skills you'll gain: Statistical Hypothesis Testing, SPSS, Statistical Analysis, Statistical Methods, Sampling (Statistics), Descriptive Statistics, Correlation Analysis, Regression Analysis, Probability & Statistics, Statistical Inference, Data Analysis Software
4.6
Rating, 4.6 out of 5 stars
152 reviews
Mixed · Course · 1 - 3 Months
Rice University
Introduction à l'analyse de données à l'aide d'Excel
Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Spreadsheet Software, Excel Formulas, Data Visualization Software, Graphing, Data Analysis, Scatter Plots, Histogram, Data Manipulation, Data Cleansing, Data Import/Export
4.5
Rating, 4.5 out of 5 stars
20 reviews
Mixed · Course · 1 - 4 Weeks
Johns Hopkins University
Introduction to AI for Cybersecurity
Skills you'll gain: Cybersecurity, Cyber Threat Intelligence, Cyber Attacks, Email Security, Threat Detection, Threat Modeling, Jupyter, Authentications, Intrusion Detection and Prevention, Machine Learning Algorithms, Artificial Intelligence, Multi-Factor Authentication, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Natural Language Processing, Machine Learning, Deep Learning
4.4
Rating, 4.4 out of 5 stars
23 reviews
Intermediate · Course · 1 - 4 Weeks
Macquarie University
Judgmental Business Forecasting in Excel
Skills you'll gain: Forecasting, Time Series Analysis and Forecasting, Business Metrics, Strategic Thinking, Business Economics, Key Performance Indicators (KPIs), Exploratory Data Analysis, Microsoft Excel, Decision Making, Statistical Methods, Regression Analysis, Data Analysis, Probability & Statistics
4.5
Rating, 4.5 out of 5 stars
59 reviews
Intermediate · Course · 1 - 3 Months
Rice University
Einführung in die Datenanalyse mit Excel
Skills you'll gain: Microsoft Excel, Graphing, Spreadsheet Software, Pivot Tables And Charts, Excel Formulas, Data Analysis, Data Import/Export, Scatter Plots, Histogram, Data Presentation, Data Manipulation
Mixed · Course · 1 - 4 Weeks
University of Colorado Boulder
Data Driven Decision Making
Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Data Visualization, Statistical Software, Statistical Analysis, Statistical Methods, Data Analysis, Analytical Skills, Data-Driven Decision-Making, Engineering Management, R Programming, Probability & Statistics, Variance Analysis, Regression Analysis
Build toward a degree
4.9
Rating, 4.9 out of 5 stars
27 reviews
Intermediate · Course · 1 - 3 Months
Vanderbilt University
From Data to Decisions: Finding Patterns with AI
Skills you'll gain: Statistical Methods, Statistical Analysis, Generative AI, Statistical Hypothesis Testing, Data Storytelling, Box Plots, Data Analysis, Plot (Graphics), Data-Driven Decision-Making, Exploratory Data Analysis, Artificial Intelligence, Histogram, Technical Communication
Beginner · Course · 1 - 4 Weeks
University of Colorado Boulder
Data Science Methods for Quality Improvement
Skills you'll gain: Process Capability, Statistical Inference, Correlation Analysis, Probability Distribution, Statistical Analysis, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Statistical Process Controls, Statistics, Data Visualization, Probability & Statistics, Statistical Hypothesis Testing, Data Analysis, Scientific Visualization, Systems Analysis, Data Literacy, Data Analysis Software, R Programming, Quality Control
Build toward a degree
4.5
Rating, 4.5 out of 5 stars
49 reviews
Intermediate · Specialization · 3 - 6 Months
University of California, Santa Cruz
Bayesian Statistics: Capstone Project
Skills you'll gain: Bayesian Statistics, Technical Communication, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Advanced Analytics, Time Series Analysis and Forecasting, Markov Model, Statistical Methods, Predictive Modeling, Sampling (Statistics), Probability Distribution
Advanced · Course · 1 - 4 Weeks