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 Colorado Boulder
Stability and Capability in Quality Improvement
Skills you'll gain: Process Capability, Statistical Process Controls, Statistical Analysis, Data Analysis Software, R Programming, Quality Control, Statistical Methods, Process Analysis, Data Transformation, Statistical Hypothesis Testing, Process Improvement, Probability Distribution
Build toward a degree
4
Rating, 4 out of 5 stars
15 reviews
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Data Analysis in R: Predictive Analysis with Regression
Skills you'll gain: Ggplot2, Data Visualization, Regression Analysis, Predictive Analytics, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, Exploratory Data Analysis, Statistics
4.2
Rating, 4.2 out of 5 stars
13 reviews
Intermediate · Guided Project · Less Than 2 Hours
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
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
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
University of Colorado Boulder
Data Science Methods for Quality Improvement
Skills you'll gain: Process Capability, Sampling (Statistics), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Descriptive Statistics, Data Visualization, Statistical Methods, Statistical Software, Statistics, Scientific Visualization, Data Analysis, Statistical Analysis, Systems Analysis, Data Analysis Software, Quality Control
Build toward a degree
4.5
Rating, 4.5 out of 5 stars
49 reviews
Intermediate · Specialization · 3 - 6 Months
Kennesaw State University
The Improve Phase for the 6 σ Black Belt
Skills you'll gain: Lean Methodologies, Lean Six Sigma, Six Sigma Methodology, Performance Measurement, Quality Improvement, Process Improvement, Continuous Improvement Process, Process Analysis, Operational Efficiency, Statistical Methods, Statistical Analysis
4.6
Rating, 4.6 out of 5 stars
37 reviews
Mixed · Course · 1 - 3 Months
Coursera Project Network
Python for Data Visualization: Matplotlib & Seaborn
Skills you'll gain: Matplotlib, Histogram, Plot (Graphics), Data Visualization, Seaborn, Scatter Plots, Data Visualization Software, Statistical Visualization, Graphing
4.6
Rating, 4.6 out of 5 stars
67 reviews
Beginner · Guided Project · Less Than 2 Hours
Duke University
MLOps Platforms: Amazon SageMaker and Azure ML
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Predictive Modeling, Serverless Computing, Machine Learning, Machine Learning Algorithms, Containerization
3.6
Rating, 3.6 out of 5 stars
48 reviews
Advanced · Course · 1 - 3 Months
Status: New
Duke University
Data Science with R
Skills you'll gain: Data Ethics, Version Control, Ggplot2, R Programming, Web Scraping, GitHub, Data Visualization Software, Data Visualization, Statistical Methods, Git (Version Control System), Data Wrangling, Tidyverse (R Package), Data Manipulation, Data Integrity, Data Import/Export, Data Collection, Data Cleansing, Data Quality, Data Presentation, Data Literacy
4.7
Rating, 4.7 out of 5 stars
13 reviews
Beginner · Specialization · 1 - 3 Months
Status: Free
Erasmus University Rotterdam
Studying Cities: Social Science Methods for Urban Research
Skills you'll gain: Surveys, Research, Research Methodologies, Data Collection, Research Design, Data Analysis, Qualitative Research, Statistical Analysis, Social Sciences, Experimentation, Descriptive Statistics
4.7
Rating, 4.7 out of 5 stars
227 reviews
Mixed · Course · 1 - 3 Months
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