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

Status: Free Trial
Johns Hopkins University
Developing Data Products
Skills you'll gain: Shiny (R Package), Rmarkdown, Leaflet (Software), Plotly, Interactive Data Visualization, Data Visualization, Data Presentation, Data Visualization Software, R Programming, Statistical Reporting, User Interface (UI), Web Applications, Hypertext Markup Language (HTML), GitHub, Package and Software Management
4.6
Rating, 4.6 out of 5 stars
2.3K reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
Imperial College London
Logistic Regression in R for Public Health
Skills you'll gain: Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Biostatistics, Feature Engineering, Statistical Inference, Data Analysis Software, Public Health
4.8
Rating, 4.8 out of 5 stars
365 reviews
Intermediate · Course · 1 - 4 Weeks
Universidad de los Andes
Fundamentos de probabilidad y aplicaciones
Skills you'll gain: Probability, Probability Distribution, Risk Analysis, Risk Management, Actuarial Science, Statistics, Mathematical Modeling, Applied Mathematics, Combinatorics, Descriptive Statistics
4.8
Rating, 4.8 out of 5 stars
173 reviews
Intermediate · Course · 1 - 4 Weeks
Amazon Web Services
Introduction to Machine Learning on AWS
Skills you'll gain: AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Natural Language Processing, Artificial Intelligence, Image Analysis, Computer Vision, Text Mining, Machine Learning, Data Processing
4.5
Rating, 4.5 out of 5 stars
138 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Data Analysis with R
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Data Transformation, R Programming, Data Manipulation, Data Visualization, Box Plots, Predictive Analytics, Statistical Analysis, Regression Analysis, Statistical Modeling, Correlation Analysis, Data Cleansing, Tidyverse (R Package), Supervised Learning
4.7
Rating, 4.7 out of 5 stars
335 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Universidad de los Andes
Introducción a la ciencia de datos aplicada
Skills you'll gain: Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Descriptive Statistics, Data Modeling, Statistical Modeling, Design Thinking
4.7
Rating, 4.7 out of 5 stars
400 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of California, Davis
SQL for Data Science Capstone Project
Skills you'll gain: Presentations, SQL, Descriptive Statistics, Data Storytelling, Data Analysis, Peer Review, Exploratory Data Analysis, Statistical Analysis, Data Modeling, Performance Metric, Business Analytics, Text Mining, Data Science, Target Audience, Data Manipulation, Proposal Development
4.2
Rating, 4.2 out of 5 stars
236 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Algebra and Differential Calculus for Data Science
Skills you'll gain: Algebra, Calculus, Graphing, Applied Mathematics, Data Science, Derivatives, Mathematical Theory & Analysis
4.5
Rating, 4.5 out of 5 stars
246 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Vanderbilt University
Introduction to Data, Signal, and Image Analysis with MATLAB
Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Machine Learning Methods, Matlab, Applied Machine Learning, Statistical Methods, Data Analysis, Data Processing, Computer Vision, Regression Analysis
4.7
Rating, 4.7 out of 5 stars
220 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Clinical Trials Data Management and Quality Assurance
Skills you'll gain: Clinical Data Management, Data Quality, Quality Assurance, Clinical Trials, Data Cleansing, Data Integrity, Data Governance, Microsoft Excel, Data Compilation, Data Collection, Data Sharing, Data Security, Patient Treatment
4.8
Rating, 4.8 out of 5 stars
154 reviews
Beginner · Course · 1 - 3 Months
École Polytechnique Fédérale de Lausanne
Interest Rate Models
Skills you'll gain: Derivatives, Financial Market, Risk Management, Investments, Financial Modeling, Market Data, Mathematical Modeling, Finance, Probability, Statistical Modeling, Estimation, Applied Mathematics
4.5
Rating, 4.5 out of 5 stars
193 reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
EDHEC Business School
Advanced Portfolio Construction and Analysis with Python
Skills you'll gain: Portfolio Management, Investment Management, Financial Modeling, Return On Investment, Asset Management, Financial Market, Estimation, Statistical Methods, Python Programming, Regression Analysis, Risk Analysis, Risk Management, Time Series Analysis and Forecasting
4.7
Rating, 4.7 out of 5 stars
507 reviews
Intermediate · Course · 1 - 4 Weeks