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

Imperial College London
Building on the SIR Model
Skills you'll gain: Mathematical Modeling, Statistical Modeling, Simulations, Epidemiology, Infectious Diseases, R Programming, Network Model
4.7
Rating, 4.7 out of 5 stars
23 reviews
Intermediate · Course · 1 - 4 Weeks
Starweaver
Manufacturing Systems Analysis: A Comprehensive Guide
Skills you'll gain: Lean Manufacturing, Lean Six Sigma, Manufacturing Operations, Industrial Engineering, Process Optimization, Manufacturing and Production, Strategic Planning, Organizational Strategy, Key Performance Indicators (KPIs), Production Management, Manufacturing Processes, Strategic Leadership, Continuous Improvement Process, Operational Analysis, Leadership and Management, Performance Measurement, Change Management, Systems Analysis, Simulation and Simulation Software, Corporate Sustainability
Beginner · Course · 1 - 4 Weeks
Status: New
Johns Hopkins University
Trustworthy AI: Managing Bias, Ethics, and Accountability
Skills you'll gain: Data Ethics, Artificial Intelligence, Business Ethics, Machine Learning, Accountability, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Risk Analysis, Compliance Management, Law, Regulation, and Compliance, Risk Mitigation, Diversity Awareness, Mitigation, Business Risk Management, Decision Making, Workforce Management, Team Oriented, Regulation and Legal Compliance, Analysis, Social Sciences
Intermediate · Course · 1 - 4 Weeks
University of Glasgow
Generative AI for Students: Ethics & Academic Integrity
Skills you'll gain: Data Ethics, Artificial Intelligence, Ethical Standards And Conduct, ChatGPT, Generative AI, Higher Education, Data Integrity, Machine Learning, Human Computer Interaction, Natural Language Processing
4
Rating, 4 out of 5 stars
10 reviews
Intermediate · Course · 1 - 4 Weeks
Google
Google Data Analytics (DE)
Skills you'll gain: Data Cleansing, Stakeholder Management, Rmarkdown, Data Presentation, Data Storytelling, Data Visualization, Data Validation, Ggplot2, Stakeholder Communications, Data Ethics, Analytical Skills, Data Integrity, Dashboard, Data Visualization Software, Tableau Software, Data-Driven Decision-Making, Data Quality, R Programming, Spreadsheet Software, Data Analysis
4.5
Rating, 4.5 out of 5 stars
35 reviews
Beginner · Professional Certificate · 3 - 6 Months
Johns Hopkins University
Wrangling Data in the Tidyverse
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, Data Cleansing, R Programming, Data Import/Export, Statistical Programming, Text Mining
4.5
Rating, 4.5 out of 5 stars
32 reviews
Mixed · Course · 1 - 3 Months
Johns Hopkins University
Mastering Software Development in R Capstone
Skills you'll gain: Software Documentation, Leaflet (Software), Technical Documentation, Data Manipulation, Data Cleansing, Data Transformation, Data Visualization Software, Code Review, R Programming, GitHub, Continuous Integration, Software Testing
4
Rating, 4 out of 5 stars
44 reviews
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Perform basic data analysis tasks using Java streams
Skills you'll gain: Data Import/Export, Data Analysis, Exploratory Data Analysis, Java, Data Manipulation, Descriptive Statistics, Statistics
4.5
Rating, 4.5 out of 5 stars
6 reviews
Intermediate · Guided Project · Less Than 2 Hours
EIT Digital
Advanced Recommender Systems
Skills you'll gain: Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Dimensionality Reduction, Machine Learning, Unsupervised Learning, Advanced Analytics, Supervised Learning, Predictive Modeling, Algorithms, Data Analysis
3.8
Rating, 3.8 out of 5 stars
23 reviews
Intermediate · Course · 1 - 3 Months
Queen Mary University of London
Research Instruments and Research Hypotheses
Skills you'll gain: Research Reports, Statistical Hypothesis Testing, Survey Creation, Research Design, Statistical Analysis, Data Processing, Data Collection, Quantitative Research, Research Methodologies, Statistics, Data Analysis, Descriptive Statistics, Data Validation
4.9
Rating, 4.9 out of 5 stars
18 reviews
Beginner · Course · 1 - 4 Weeks
Universidad de los Andes
Algoritmos de negociación basados en machine learning
Skills you'll gain: Technical Analysis, Financial Trading, Financial Market, Performance Measurement, Capital Markets, Market Trend, Investments, Market Data, Return On Investment, Statistical Machine Learning, Financial Analysis, Machine Learning, Classification And Regression Tree (CART), Trend Analysis
4.8
Rating, 4.8 out of 5 stars
34 reviews
Intermediate · Course · 1 - 4 Weeks
Fred Hutchinson Cancer Center
Researcher's guide to omic fundamentals
Skills you'll gain: Bioinformatics, Data Processing, Data Analysis, Exploratory Data Analysis, Statistical Analysis, Metadata Management, R Programming, Scientific Methods, Data Management, Data Quality
3.9
Rating, 3.9 out of 5 stars
10 reviews
Intermediate · Course · 1 - 3 Months