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 Trial
Meta
Data Analysis with Spreadsheets and SQL
Skills you'll gain: Data Visualization Software, Spreadsheet Software, Correlation Analysis, Google Sheets, Pivot Tables And Charts, Dashboard, Data Analysis, Data Storytelling, Tableau Software, Descriptive Statistics, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Data-Driven Decision-Making, Statistical Analysis, SQL
4.6
Rating, 4.6 out of 5 stars
232 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Minnesota
Introduction to Recommender Systems: Non-Personalized and Content-Based
Skills you'll gain: Taxonomy, AI Personalization, Spreadsheet Software, Machine Learning, Predictive Analytics, Statistical Methods, Persona Development, Descriptive Statistics, Data Collection, Algorithms, Java Programming
4.4
Rating, 4.4 out of 5 stars
647 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Icahn School of Medicine at Mount Sinai
Introduction to Systems Biology
Skills you'll gain: Molecular Biology, Pharmacology, Biochemistry, Network Analysis, Biology, Systems Engineering, Bioinformatics, Mathematical Modeling, Systems Analysis, Simulation and Simulation Software, Differential Equations, Statistical Modeling
4.3
Rating, 4.3 out of 5 stars
570 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
Imperial College London
Linear Regression in R for Public Health
Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, Statistical Software, Statistical Methods, Probability & Statistics, Biostatistics, Epidemiology, Data Import/Export
4.8
Rating, 4.8 out of 5 stars
520 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Maryland, College Park
New Venture Finance: Startup Funding for Entrepreneurs
Skills you'll gain: Entrepreneurial Finance, Sales Presentation, Entrepreneurship, Capital Markets, Finance, Fundraising, Private Equity, Business Valuation, Contract Negotiation, Financial Modeling, Investments, Due Diligence, Business Planning, Cash Flows, Presentations, Storytelling
4.6
Rating, 4.6 out of 5 stars
477 reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Outbreaks and Epidemics
Skills you'll gain: Epidemiology, Infectious Diseases, Risk Analysis, Public Health, Investigation, Public Health and Disease Prevention, Biostatistics, Laboratory Testing, Statistical Analysis, Probability & Statistics, Research Methodologies, Report Writing
4.8
Rating, 4.8 out of 5 stars
752 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Getting Started with R
Skills you'll gain: Data Import/Export, Package and Software Management, R Programming, Data Structures, Data Literacy, Software Installation, Data Analysis Software
4.3
Rating, 4.3 out of 5 stars
380 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
University of California San Diego
Designing, Running, and Analyzing Experiments
Skills you'll gain: Statistical Analysis, Experimentation, Usability Testing, Usability, Statistical Hypothesis Testing, Data Analysis, Statistical Methods, UI/UX Research, R Programming, User Experience, Research Design, Data Collection, Human Computer Interaction, Statistical Modeling, Regression Analysis
3.6
Rating, 3.6 out of 5 stars
592 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Arizona State University
Semiconductor Packaging
Skills you'll gain: Statistical Process Controls, Process Control, Semiconductors, Quality Assurance, Verification And Validation, Electronics Engineering, Manufacturing Operations, Manufacturing Processes, Manufacturing Standards, Electronics, Process Analysis, Product Testing, Reliability, Electronic Components, Electronic Systems, Computer Hardware, Computer Architecture, Hardware Architecture, Thermal Management, Scalability
4.7
Rating, 4.7 out of 5 stars
208 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of Illinois Urbana-Champaign
Introduction to Business Analytics: Communicating with Data
Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Data Collection, Data Quality, Business Analytics, Data Visualization Software, Data-Driven Decision-Making, Data Analysis, Communication, R Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
629 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Alberta Machine Intelligence Institute
Introduction to Applied Machine Learning
Skills you'll gain: Data Ethics, Applied Machine Learning, Data Processing, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Supervised Learning, Data Modeling, Business Requirements, Business Analysis, Unsupervised Learning, Artificial Intelligence, Performance Metric
4.7
Rating, 4.7 out of 5 stars
740 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Illinois Urbana-Champaign
Cluster Analysis in Data Mining
Skills you'll gain: Unsupervised Learning, Data Mining, Data Validation, Applied Machine Learning, Machine Learning Algorithms, Data Analysis, Statistical Methods, Exploratory Data Analysis, Algorithms
4.5
Rating, 4.5 out of 5 stars
408 reviews
Mixed · Course · 1 - 3 Months