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

University of Colorado Boulder
Advanced Business Analytics
Skills you'll gain: Data Storytelling, Data Presentation, Data Governance, Data Visualization, Predictive Analytics, Exploratory Data Analysis, Analytics, Business Analytics, Data Storage, Data Management, Big Data, Databases, Business Intelligence, Data Visualization Software, Presentations, Data Analysis, Statistical Modeling, Relational Databases, Data Cleansing, Financial Analysis
4.6
Rating, 4.6 out of 5 stars
5.2K reviews
Intermediate · Specialization · 3 - 6 Months
Johns Hopkins University
Multiple Regression Analysis in Public Health
Skills you'll gain: Biostatistics, Regression Analysis, Statistical Methods, Probability & Statistics, Statistical Analysis, Statistical Inference, Advanced Analytics, Statistical Modeling, Predictive Modeling, Data Analysis
4.7
Rating, 4.7 out of 5 stars
305 reviews
Beginner · Course · 1 - 4 Weeks
University of Colorado Boulder
Modern Regression Analysis in R
Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Statistical Hypothesis Testing, Data Science, R Programming, Data Modeling, Statistical Analysis, Predictive Modeling, Predictive Analytics, Probability & Statistics, Forecasting, Linear Algebra
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
30 reviews
Intermediate · Course · 1 - 3 Months
University of California San Diego
Big Data
Skills you'll gain: Apache Spark, PySpark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Statistical Reporting, Data Pipelines, Data Modeling, Regression Analysis, Data Mining, Applied Machine Learning, Scalability, Data Processing, Statistical Analysis, Databases, Data Management, NoSQL, Database Management Systems, Technical Communication
4.5
Rating, 4.5 out of 5 stars
14K reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
Neuroscience and Neuroimaging
Skills you'll gain: Anatomy, Radiology, Image Analysis, Data Analysis, Analysis, Data Manipulation, Analytical Skills, Experimentation, Research Design, R Programming, Statistical Analysis, Psychology, Network Analysis, Data Processing, Regression Analysis, Scientific Visualization, Science and Research, Scientific Methods, Qualitative Research, Medical Science and Research
4.7
Rating, 4.7 out of 5 stars
3.2K reviews
Intermediate · Specialization · 3 - 6 Months
University of Pennsylvania
Introduction to Spreadsheets and Models
Skills you'll gain: Regression Analysis, Spreadsheet Software, Risk Modeling, Google Sheets, Excel Formulas, Financial Modeling, Microsoft Excel, Data Modeling, Probability Distribution, Forecasting, Risk Analysis, Statistical Methods, Probability & Statistics, Business Modeling, Statistical Analysis, Simulation and Simulation Software, Process Improvement and Optimization, Decision Tree Learning
4.2
Rating, 4.2 out of 5 stars
3.8K reviews
Mixed · Course · 1 - 4 Weeks
University of Colorado Boulder
Everyday Excel
Skills you'll gain: Data Import/Export, Microsoft Excel, Regression Analysis, Data Validation, Data Visualization, Depreciation, Spreadsheet Software, Data Management, Excel Macros, Data Cleansing, Excel Formulas, Statistical Modeling, Financial Analysis, Cash Flows, Predictive Modeling, Financial Modeling, Data Analysis Expressions (DAX), Productivity Software, Analysis, Mathematical Modeling
4.7
Rating, 4.7 out of 5 stars
3.9K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Exploratory Data Analysis for Machine Learning
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Cleansing, Data Access, Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Probability & Statistics, Jupyter, Big Data, Machine Learning, Data Manipulation, Pandas (Python Package), Statistical Analysis, Data Transformation, Data Presentation, Artificial Intelligence
4.6
Rating, 4.6 out of 5 stars
2.2K reviews
Intermediate · Course · 1 - 3 Months
University of Alberta
Fundamentals of Reinforcement Learning
Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Applied Machine Learning, Algorithms
4.8
Rating, 4.8 out of 5 stars
2.8K reviews
Intermediate · Course · 1 - 3 Months
University of Pennsylvania
Introduction to Operations Management
Skills you'll gain: Operations Management, Operational Efficiency, Process Analysis, Process Improvement, Lean Methodologies, Continuous Improvement Process, Capacity Planning, Quality Management, Business Workflow Analysis, Supply Chain Management, Inventory Management System, Statistical Process Controls, Process Flow Diagrams, Root Cause Analysis
4.4
Rating, 4.4 out of 5 stars
2.8K reviews
Beginner · Course · 1 - 4 Weeks
DeepLearning.AI
Convolutional Neural Networks in TensorFlow
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Computer Vision, Image Analysis, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Predictive Modeling, Machine Learning, Supervised Learning, Data Processing
4.7
Rating, 4.7 out of 5 stars
8.2K reviews
Intermediate · Course · 1 - 4 Weeks
Macquarie University
Excel Skills for Business: Intermediate II
Skills you'll gain: Excel Formulas, Microsoft Excel, Excel Macros, Data Validation, Spreadsheet Software, Data Modeling, Financial Modeling, Workflow Management, Data Integrity, Automation, Data Security
4.8
Rating, 4.8 out of 5 stars
8.3K reviews
Intermediate · Course · 1 - 3 Months