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

Fundação Instituto de Administração
Fundamentos de IA Aplicados ao CRM
Skills you'll gain: Predictive Analytics, Customer Relationship Management, Machine Learning Methods, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning
Beginner · Course · 1 - 4 Weeks
Google Cloud
Innovating with Data and Google Cloud בעברית
Skills you'll gain: Digital Transformation, Google Cloud Platform, Big Data, Looker (Software), Cloud Computing, Customer Insights, Machine Learning, Data Management, Data Lakes, Unstructured Data, Data Quality, Innovation, Business Intelligence, Data-Driven Decision-Making, Artificial Intelligence
Beginner · Course · 1 - 3 Months
Status: Free
Amazon Web Services
Introduction to Machine Learning: Art of the Possible
Skills you'll gain: Business Leadership, Strategic Leadership, Strategic Decision-Making, Business Transformation, Business Strategy, Business Planning, Data-Driven Decision-Making, Organizational Strategy, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Decision Making, Technology Roadmaps
Beginner · Course · 1 - 4 Weeks
Status: Free
Pontificia Universidad Católica de Chile
Fundamentos de sistemas recomendadores
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Machine Learning Software, Machine Learning, Unsupervised Learning, Predictive Modeling, Dimensionality Reduction, Applied Machine Learning, Feature Engineering, Business Metrics, Text Mining
Intermediate · Course · 1 - 3 Months
Status: Free
Coursera Instructor Network
Building Trust: Ethics for AI-powered Chatbots
Skills you'll gain: Data Ethics, Business Ethics, Ethical Standards And Conduct, Artificial Intelligence, Information Privacy, Machine Learning, Personally Identifiable Information, Accountability, Data Governance, Diversity and Inclusion, Algorithms
Beginner · Course · 1 - 4 Weeks
Status: Free
Northeastern University
Machine Learning for Engineers: Algorithms and Applications
Skills you'll gain: Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Predictive Modeling, Dimensionality Reduction
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
TensorFlow for Beginners: Basic Binary Image Classification
Skills you'll gain: Tensorflow, Image Analysis, Artificial Neural Networks, Data Processing, Network Model, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Computer Vision, Deep Learning, Data Manipulation, Machine Learning
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
Bases y primeros pasos en R
Skills you'll gain: Data Import/Export, Scripting, R Programming, Statistical Programming, Data Manipulation, Data Structures
Beginner · Guided Project · Less Than 2 Hours
École Polytechnique Fédérale de Lausanne
Geographical Information Systems - Part 2
Skills you'll gain: Spatial Analysis, Spatial Data Analysis, GIS Software, Geographic Information Systems, Geospatial Mapping, Geostatistics, Interactive Data Visualization, Data Integration, Data Mapping, Augmented Reality, Statistical Analysis, Sampling (Statistics)
Beginner · Course · 1 - 3 Months
University of Glasgow
Fundamental MATLAB Programming for AI
Skills you'll gain: Matlab, Data Manipulation, Data Cleansing, Data Processing, Artificial Intelligence, Computer Programming, Scripting, Feature Engineering, Data Structures, Program Development, Machine Learning, Algorithms
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Chatbots
Skills you'll gain: AWS SageMaker, Amazon Web Services, Tensorflow, Applied Machine Learning, Amazon Elastic Compute Cloud, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Software Design, Machine Learning, Program Development, Application Development, Design Strategies, Computer Programming, Data Processing
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Emerging Approaches for Measuring Population Health
Skills you'll gain: Survey Creation, Sampling (Statistics), Data Collection, Epidemiology, Health Assessment, Program Evaluation, Research Methodologies, Health Systems, Health Information Management and Medical Records, Data Quality, Data Integration, Diversity Awareness
Beginner · Course · 1 - 4 Weeks