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

Intel
AI Essentials
Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Automation, Deep Learning, Machine Learning, Data Analysis
4.1
Rating, 4.1 out of 5 stars
65 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
National Taiwan University
頑想學概率：機率一 (Probability (1))
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Data Literacy
4.8
Rating, 4.8 out of 5 stars
360 reviews
Beginner · Course · 1 - 3 Months
Fundação Instituto de Administração
Análise de Dados para Workforce Management
Skills you'll gain: Workforce Management, People Analytics, Big Data, HR Tech, Workforce Planning, Data Mining, Data-Driven Decision-Making, Human Resource Strategy, Deep Learning, Human Resources Management and Planning, Data Visualization, Digital Transformation, Human Resources, Data Visualization Software, Data Modeling, R Programming, Data Science, Data Manipulation, Machine Learning, Data Structures
4.3
Rating, 4.3 out of 5 stars
60 reviews
Beginner · Specialization · 1 - 3 Months
Universidad Nacional de Colombia
Ciencia de datos energéticos
Skills you'll gain: Electrical Power, Electric Power Systems, Energy and Utilities, Time Series Analysis and Forecasting, Data Science, Statistical Methods, Data Modeling, Python Programming, Data Processing, Applied Machine Learning, Data Visualization Software, Regression Analysis, Artificial Neural Networks
5
Rating, 5 out of 5 stars
21 reviews
Intermediate · Course · 1 - 3 Months
University of Pennsylvania
企业金融概论（中文版）
Skills you'll gain: Return On Investment, Capital Budgeting, Finance, Financial Modeling, Corporate Finance, Financial Management, Financial Analysis, Business Valuation, Financial Market, Cash Flows, Securities (Finance), Asset Management
4.6
Rating, 4.6 out of 5 stars
49 reviews
Mixed · Course · 1 - 4 Weeks
University of Pennsylvania
Statistics for Data Science Essentials
Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics
4.7
Rating, 4.7 out of 5 stars
7 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Quantifying Relationships with Regression Models
Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Inference, Data Analysis, Statistical Modeling, Statistical Analysis, Probability & Statistics
4.7
Rating, 4.7 out of 5 stars
21 reviews
Intermediate · Course · 1 - 4 Weeks
Alberta Machine Intelligence Institute
Machine Learning Algorithms: Supervised Learning Tip to Tail
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Jupyter, Machine Learning, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Performance Metric
4.7
Rating, 4.7 out of 5 stars
413 reviews
Mixed · Course · 1 - 4 Weeks
University of California San Diego
Code Free Data Science
Skills you'll gain: Predictive Modeling, Data Manipulation, Predictive Analytics, Big Data, Data Mining, Statistical Methods, Data Analysis, Data Science, Data-Driven Decision-Making, Unsupervised Learning, Analytics, Software Installation
4.3
Rating, 4.3 out of 5 stars
209 reviews
Beginner · Course · 1 - 4 Weeks
Imperial College London
Evaluation of Digital Health Interventions
Skills you'll gain: Data Visualization Software, Health Informatics, Health Information Management, Tableau Software, Analytics, Health Technology, Data Management, Clinical Trials, Telehealth, Statistical Analysis, Data Analysis, Health Care, Big Data
4.7
Rating, 4.7 out of 5 stars
34 reviews
Intermediate · Course · 1 - 4 Weeks
Splunk Inc.
Splunk Search Expert 102
Skills you'll gain: Splunk, Data Transformation, Data Manipulation, Data Analysis Expressions (DAX), Statistical Analysis, Data Processing, Data Synthesis, Time Series Analysis and Forecasting, Performance Tuning
4.7
Rating, 4.7 out of 5 stars
46 reviews
Beginner · Course · 1 - 3 Months
Genentech
Data Science in Health Technology Assessment
Skills you'll gain: Health Policy, Data-Driven Decision-Making, Risk Modeling, Health Assessment, Health Technology, Health Care, Statistical Modeling, Clinical Research, Medical Terminology, Systems Of Measurement
4.4
Rating, 4.4 out of 5 stars
16 reviews
Intermediate · Course · 1 - 4 Weeks