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
Insper
Introdução ao Marketing Analítico
Skills you'll gain: Marketing Analytics, Analytical Skills, Data Analysis, Data Collection, Marketing, Quantitative Research, Market Research, Customer Insights, Data-Driven Decision-Making, Statistical Methods, Consumer Behaviour, Brand Management
4.7
Rating, 4.7 out of 5 stars
798 reviews
Mixed · Course · 1 - 3 Months
University of California San Diego
Combinatorics and Probability
Skills you'll gain: Combinatorics, Probability, Algorithms, Mathematical Modeling, Computational Thinking, Statistics, Game Theory, Python Programming
4.6
Rating, 4.6 out of 5 stars
862 reviews
Beginner · Course · 1 - 3 Months
Universidad Nacional Autónoma de México
Evaluación educativa
Skills you'll gain: Peer Review, Program Evaluation, Patient Evaluation, Curriculum Planning, Qualitative Research, Health Assessment, Pedagogy, Psychological Evaluations, Curriculum Development, Education and Training, Simulations, Instructional and Curriculum Design, Survey Creation, Instructional Strategies, Data Analysis Software, Student-Centred Learning, Higher Education, Statistical Analysis, Systems Thinking, Ethical Standards And Conduct
4.8
Rating, 4.8 out of 5 stars
816 reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
Getting Started with Data Visualization in R
Skills you'll gain: Rmarkdown, Statistical Visualization, Ggplot2, Data Import/Export, Data Visualization Software, R Programming, Tidyverse (R Package), Data Manipulation, Scatter Plots, Data Wrangling, Histogram, Software Installation
4.8
Rating, 4.8 out of 5 stars
289 reviews
Beginner · Course · 1 - 4 Weeks
ESSEC Business School
Foundations of marketing analytics
Skills you'll gain: Marketing Analytics, Customer Analysis, Business Marketing, Advanced Analytics, Marketing Strategies, Business Analytics, Market Research, Customer Insights, R Programming, Data-Driven Decision-Making, Target Market, Data Analysis, Predictive Analytics, Statistical Analysis, Statistical Modeling, Predictive Modeling, Customer Relationship Management, Statistical Methods, Data Manipulation
4.6
Rating, 4.6 out of 5 stars
760 reviews
Mixed · Course · 1 - 3 Months
Google Cloud
Introduction to AI and Machine Learning on Google Cloud
Skills you'll gain: Prompt Engineering, Google Cloud Platform, Generative AI, Cloud Infrastructure, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Platforms, Large Language Modeling, Machine Learning, Natural Language Processing, Application Programming Interface (API)
4.7
Rating, 4.7 out of 5 stars
230 reviews
Beginner · Course · 1 - 3 Months
Duke University
Startup Valuation Methods
Skills you'll gain: Financial Modeling, Entrepreneurial Finance, Business Valuation, Excel Formulas, Financial Analysis, Investments, Private Equity, Securities (Finance), Entrepreneurship, Cash Flows, Risk Analysis
4.4
Rating, 4.4 out of 5 stars
717 reviews
Intermediate · Course · 1 - 3 Months
The University of Melbourne
The Language and Tools of Financial Analysis
Skills you'll gain: Financial Analysis, Financial Statement Analysis, Financial Statements, Accounting, Financial Modeling, Balance Sheet, Income Statement, Corporate Finance, Cash Flows, Business Valuation, Risk Analysis, Business Ethics
4.7
Rating, 4.7 out of 5 stars
1.4K reviews
Mixed · Course · 1 - 4 Weeks
University of California, Davis
Quantitative Research
Skills you'll gain: Surveys, Survey Creation, Quantitative Research, Statistical Analysis, Marketing Analytics, Market Research, Statistical Methods, Data Analysis, Marketing, Target Market, Sample Size Determination, Quality Control
4.4
Rating, 4.4 out of 5 stars
335 reviews
Intermediate · Course · 1 - 4 Weeks
Google
Google Data Analytics
Skills you'll gain: Data Presentation, Data Storytelling, Presentations, Data Cleansing, Data Visualization, Rmarkdown, Data-Driven Decision-Making, Data Validation, Data Ethics, Analytical Skills, Dashboard, Spreadsheet Software, Ggplot2, SQL, Data Visualization Software, Data Literacy, Data Collection, Sampling (Statistics), Data Analysis, Data Processing
4.5
Rating, 4.5 out of 5 stars
312 reviews
Beginner · Professional Certificate · 3 - 6 Months
Coursera Project Network
COVID19 Data Analysis Using Python
Skills you'll gain: Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Infectious Diseases
4.5
Rating, 4.5 out of 5 stars
2K reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free
The University of Edinburgh
Data Science in Stratified Healthcare and Precision Medicine
Skills you'll gain: Precision Medicine, Bioinformatics, Image Analysis, Medical Imaging, Big Data, Health Informatics, Statistical Methods, Data Science, Machine Learning, Natural Language Processing, Probability & Statistics, Data Analysis, Molecular Biology, Network Analysis, Graph Theory, Healthcare Ethics
4.6
Rating, 4.6 out of 5 stars
334 reviews
Intermediate · Course · 1 - 3 Months