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
AI Workflow: Business Priorities and Data Ingestion
Skills you'll gain: Design Thinking, Data Science, Artificial Intelligence, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, NumPy, IBM Cloud, Python Programming
4.3
Rating, 4.3 out of 5 stars
164 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Data Visualization in R with ggplot2
Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Heat Maps, R Programming, Graphical Tools, Data Wrangling, Tidyverse (R Package), Graphics Software
4.9
Rating, 4.9 out of 5 stars
127 reviews
Intermediate · Course · 1 - 4 Weeks
Amazon Web Services
Fundamentals of Generative AI for Beginners
Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Artificial Neural Networks, Software Development Tools, Test Data, Artificial Intelligence, Data Ethics, Deep Learning, Machine Learning
4.6
Rating, 4.6 out of 5 stars
51 reviews
Beginner · Course · 1 - 4 Weeks
Icahn School of Medicine at Mount Sinai
Dynamical Modeling Methods for Systems Biology
Skills you'll gain: Matlab, Mathematical Modeling, Differential Equations, Computational Logic, Applied Mathematics, Molecular Biology, Simulations, Statistical Modeling, Biochemistry, Biology, Probability, Electrical Systems
4.7
Rating, 4.7 out of 5 stars
220 reviews
Mixed · Course · 1 - 3 Months
University of Michigan
Assisting Public Sector Decision Makers With Policy Analysis
Skills you'll gain: Statistical Analysis, Program Evaluation, Policy Analysis, Data Analysis, Statistical Methods, Public Policies, Statistical Hypothesis Testing, Policy Development, Analytical Skills, Forecasting, R Programming, Data-Driven Decision-Making, Research Design, Time Series Analysis and Forecasting
4.8
Rating, 4.8 out of 5 stars
25 reviews
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Statistical Thermodynamics
Skills you'll gain: Chemical Engineering, Quantitative Research, Chemistry, Thermal Management, Mechanics, Mathematical Software, Engineering Analysis, Numerical Analysis, Engineering Calculations, Statistical Methods, Differential Equations, Physics, Probability Distribution, Mathematical Modeling, Semiconductors, Applied Mathematics, Simulation and Simulation Software, Simulations, Physical Science, Estimation
4.5
Rating, 4.5 out of 5 stars
1K reviews
Advanced · Specialization · 3 - 6 Months
Tableau Learning Partner
Data Analysis with Tableau
Skills you'll gain: Exploratory Data Analysis, Tableau Software, Statistical Visualization, Data Analysis, Descriptive Statistics, Predictive Analytics, Data Processing, Box Plots, Statistical Analysis, Data Cleansing, Scatter Plots, Data Visualization Software, Trend Analysis, Histogram, Data Manipulation, Regression Analysis, Correlation Analysis
4.4
Rating, 4.4 out of 5 stars
87 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Ball State University
Introduction to Programming
Skills you'll gain: Data Analysis, Statistical Analysis, Computer Programming, Python Programming, Object Oriented Programming (OOP), Natural Language Processing, Data Science, Scripting, NumPy, Debugging, Data Manipulation
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
28 reviews
Beginner · Course · 1 - 3 Months
IBM
SQL for Data Science with R
Skills you'll gain: Relational Databases, Database Design, SQL, Database Management, Databases, Query Languages, Data Analysis, Exploratory Data Analysis, R Programming, Data Manipulation, Data Modeling, Data Access
4.3
Rating, 4.3 out of 5 stars
175 reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Integral Calculus and Numerical Analysis for Data Science
Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Data Science, Mathematical Theory & Analysis, Applied Mathematics, Linear Algebra, Derivatives
4.6
Rating, 4.6 out of 5 stars
95 reviews
Intermediate · Course · 1 - 4 Weeks
University of California, Davis
Beer Quality
Skills you'll gain: ISO 9000 Series, Food and Beverage, Production Process, Quality Assurance and Control, Quality Management Systems, Good Manufacturing Practices, Biochemistry, Standard Operating Procedure, Risk Control, Safety Assurance, Microbiology, Chemistry, Process Control, Statistical Methods, Laboratory Testing, Manufacturing Processes, Scientific Methods, Systems Of Measurement, Product Testing, Process Analysis
4.6
Rating, 4.6 out of 5 stars
40 reviews
Intermediate · Specialization · 3 - 6 Months
LearnQuest
Artificial Intelligence Algorithms Models and Limitations
Skills you'll gain: Predictive Modeling, Data Ethics, Algorithms, Machine Learning, Predictive Analytics, Artificial Intelligence, Statistical Modeling, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Risk Modeling, Data Validation, Test Data, Ethical Standards And Conduct, Computational Thinking, Economic Development
4.7
Rating, 4.7 out of 5 stars
443 reviews
Beginner · Course · 1 - 4 Weeks