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

IBM
NoSQL, Big Data, and Spark Foundations
Skills you'll gain: NoSQL, Apache Hadoop, Apache Spark, MongoDB, PySpark, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Generative AI, IBM Cloud, Applied Machine Learning, Kubernetes, Supervised Learning, Distributed Computing, Docker (Software), Database Management, Data Pipelines, Scalability
4.5
Rating, 4.5 out of 5 stars
754 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
Yale University
Understanding Medical Research: Your Facebook Friend is Wrong
Skills you'll gain: Probability & Statistics, Research Design, Medical Science and Research, Statistics, Data Literacy, Statistical Analysis, Scientific Methods, Clinical Research
4.9
Rating, 4.9 out of 5 stars
2.2K reviews
Beginner · Course · 1 - 3 Months
University of Toronto
Plant Bioinformatic Methods
Skills you'll gain: Bioinformatics, Network Analysis, Research Reports, Molecular Biology, Molecular, Cellular, and Microbiology, Biology, Analysis, Data Analysis, Data Synthesis, Big Data, Statistical Methods, Data Visualization Software, Data Analysis Software, Data Mining, Experimentation, Scientific Visualization, Life Sciences, Interactive Data Visualization, Statistical Analysis, Databases
4.7
Rating, 4.7 out of 5 stars
2.1K reviews
Beginner · Specialization · 3 - 6 Months
University of Michigan
Foundational Finance for Strategic Decision Making
Skills you'll gain: Market Data, Loans, Finance, Microsoft Excel, General Finance, Corporate Finance, Mortgage Loans, Financial Analysis, Equities, Investments, Financial Market, Business Valuation, Investment Management, Capital Budgeting, Capital Markets, Financial Modeling, Financial Management, Business Mathematics, Financial Planning, Cash Flows
4.7
Rating, 4.7 out of 5 stars
1.2K reviews
Beginner · Specialization · 3 - 6 Months
University of Amsterdam
Quantitative Methods
Skills you'll gain: Scientific Methods, Research Design, Sampling (Statistics), Science and Research, Research, Research Methodologies, Surveys, Quantitative Research, Social Sciences, Experimentation, Ethical Standards And Conduct
4.7
Rating, 4.7 out of 5 stars
2.3K reviews
Mixed · Course · 1 - 3 Months
Status: Free
University of Cape Town
Doing Clinical Research: Biostatistics with the Wolfram Language
Skills you'll gain: Descriptive Statistics, Data Literacy, Exploratory Data Analysis, Plot (Graphics), Statistical Analysis, Statistical Visualization, Statistical Programming, Biostatistics, Statistical Hypothesis Testing, Quantitative Research, Probability & Statistics, Deep Learning, Data Manipulation, Machine Learning
4.7
Rating, 4.7 out of 5 stars
49 reviews
Beginner · Course · 1 - 4 Weeks
Rice University
Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions
Skills you'll gain: Descriptive Statistics, Probability & Statistics, Probability Distribution, Business Analytics, Microsoft Excel, Data Analysis, Statistical Analysis, Box Plots, Sampling (Statistics), Correlation Analysis
4.7
Rating, 4.7 out of 5 stars
2.6K reviews
Mixed · Course · 1 - 4 Weeks
IESE Business School
Corporate Finance Essentials
Skills you'll gain: Corporate Finance, Capital Budgeting, Financial Modeling, Financial Analysis, Financial Market, Return On Investment, Investments, Business Valuation, Portfolio Management, Cost Accounting, Risk Management
4.8
Rating, 4.8 out of 5 stars
2.5K reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
A Crash Course in Data Science
Skills you'll gain: Data Science, Data Management, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Predictive Modeling, Statistical Inference
4.5
Rating, 4.5 out of 5 stars
8.2K reviews
Beginner · Course · 1 - 4 Weeks
DeepLearning.AI
Calculus for Machine Learning and Data Science
Skills you'll gain: Applied Mathematics, Calculus, Mathematical Modeling, NumPy, Machine Learning, Python Programming, Artificial Neural Networks, Visualization (Computer Graphics), Deep Learning, Derivatives
4.8
Rating, 4.8 out of 5 stars
840 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Lund University
AI, Business & the Future of Work
Skills you'll gain: Organizational Strategy, Artificial Intelligence, Strategic Thinking, Business Transformation, Business Risk Management, Business Strategy, Organizational Change, Business Ethics, Automation, Thought Leadership, Machine Learning, Interviewing Skills, Human Machine Interfaces
4.6
Rating, 4.6 out of 5 stars
1.7K reviews
Beginner · Course · 1 - 4 Weeks
SAS
Getting Started with SAS Programming
Skills you'll gain: SAS (Software), Data Import/Export, Data Validation, Data Access, Data Manipulation, Exploratory Data Analysis, Data Analysis, SQL, Data Presentation, Microsoft Excel, Descriptive Statistics
4.8
Rating, 4.8 out of 5 stars
3.1K reviews
Beginner · Course · 1 - 3 Months