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

Universidad Nacional de Colombia
Sistemas difusos
Skills you'll gain: Mathematical Modeling, Software Systems, Machine Learning, Applied Mathematics, System Design and Implementation, Programming Principles, Logical Reasoning, Arithmetic, Algorithms
5
Rating, 5 out of 5 stars
47 reviews
Intermediate · Course · 1 - 4 Weeks
Kennesaw State University
DFSS for the 6 σ Black Belt
Skills you'll gain: Process Improvement, Six Sigma Methodology, Lean Six Sigma, Knowledge Transfer, Continuous Improvement Process, Lean Manufacturing, Statistical Process Controls, Quality Management, Product Design, Statistical Methods, Design and Product, Probability & Statistics
4.4
Rating, 4.4 out of 5 stars
33 reviews
Mixed · Course · 1 - 3 Months
LearnQuest
Demand Forecasting Using Time Series
Skills you'll gain: Time Series Analysis and Forecasting, Demand Planning, Trend Analysis, Data Visualization, Customer Demand Planning, Regression Analysis, Matplotlib, Forecasting, Predictive Modeling, Supply Chain Management, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Statistical Modeling
3.4
Rating, 3.4 out of 5 stars
35 reviews
Intermediate · Course · 1 - 4 Weeks
L&T EduTech
AI & ML Applications in Oil and Gas Industry
Skills you'll gain: Big Data, Data Processing, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Process Engineering, Geostatistics, Anomaly Detection, Image Analysis, Energy and Utilities, Machine Learning, Automation, Physical Science, Natural Resource Management, Simulation and Simulation Software
4.9
Rating, 4.9 out of 5 stars
38 reviews
Beginner · Course · 1 - 4 Weeks
The Chinese University of Hong Kong
Entrepreneurship
Skills you'll gain: Entrepreneurship, Market Opportunities, Innovation, Business Planning, Business Leadership, Business Development, New Product Development, Financial Analysis, Business Strategy, Market Research, Presentations, Growth Strategies, Financial Modeling, Fundraising
4.7
Rating, 4.7 out of 5 stars
286 reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Python for Finance: Beta and Capital Asset Pricing Model
Skills you'll gain: Portfolio Management, Plotly, Data Visualization, Investment Management, Financial Analysis, Statistical Analysis, Financial Data, Risk Modeling, Market Data, Finance, Equities, Data Analysis, Pandas (Python Package), Python Programming
4.5
Rating, 4.5 out of 5 stars
44 reviews
Beginner · Guided Project · Less Than 2 Hours
Corporate Finance Institute
Accounting Fundamentals
Skills you'll gain: Income Statement, Financial Statements, Accounting, Balance Sheet, Financial Accounting, Financial Reporting, Bookkeeping, Financial Modeling, Cash Flows, Financial Analysis
4.9
Rating, 4.9 out of 5 stars
33 reviews
Beginner · Course · 1 - 3 Months
Imperial College London
Interventions and Calibration
Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Statistical Modeling, R Programming, Differential Equations, Statistical Methods, Public Health
4.7
Rating, 4.7 out of 5 stars
56 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Measurement – Turning Concepts into Data
Skills you'll gain: Surveys, Survey Creation, Sampling (Statistics), Quantitative Research, Research Methodologies, Data Analysis, Data Quality, Data Transformation, Data Modeling, Data Validation, Statistical Methods
4.7
Rating, 4.7 out of 5 stars
77 reviews
Beginner · Course · 1 - 4 Weeks
McMaster University
Finance For Everyone: Value
Skills you'll gain: Finance, Financial Analysis, Financial Market, Cash Flows, Financial Modeling, Investments, Business Valuation, Risk Management, Market Dynamics, Risk Analysis, Market Trend, Decision Making
4.7
Rating, 4.7 out of 5 stars
241 reviews
Mixed · Course · 1 - 4 Weeks
LearnQuest
Introduction to Data Science and scikit-learn in Python
Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Data Analysis, Data Processing, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Statistical Methods, Computer Programming, Data Structures
3.7
Rating, 3.7 out of 5 stars
49 reviews
Beginner · Course · 1 - 4 Weeks
Universidad de los Andes
Modelos predictivos con aprendizaje automático
Skills you'll gain: Data Ethics, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Decision Tree Learning, Python Programming, Unsupervised Learning
4.7
Rating, 4.7 out of 5 stars
73 reviews
Beginner · Course · 1 - 4 Weeks