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 .

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Explore the Statistical Inference Course Catalog

Northeastern University
Practical AI for Professionals
Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Business Strategy, Business Solutions, Machine Learning, Data Management, Computer Vision, Unstructured Data, Predictive Modeling, Deep Learning, Natural Language Processing
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, Cloud Storage, Looker (Software), Cloud Computing, Customer Insights, Machine Learning, Analytics, Data Management, Data Lakes, Unstructured Data, Innovation, Business Intelligence, Data-Driven Decision-Making, Artificial Intelligence
Beginner · Course · 1 - 3 Months
University of Glasgow
Computational Thinking with JavaScript 2: Model & Analyse
Skills you'll gain: JSON, Data Structures, Analytics, Computational Thinking, Data Analysis, Data Visualization Software, Javascript, Data Processing, Unsupervised Learning, Data Science, Data Modeling, Machine Learning, Object Oriented Programming (OOP), Algorithms
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
R أساسيات لغة البرمجة
Skills you'll gain: Exploratory Data Analysis, R Programming, Data Manipulation, Statistical Programming, Data Analysis, File Management, Programming Principles, Development Environment, Data Structures
Beginner · Guided Project · Less Than 2 Hours
Status: Free
Coursera Project Network
Tidymodels in R: Building tidy machine learning models
Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Data Visualization Software, Exploratory Data Analysis, Data Manipulation, Predictive Modeling, R Programming, Data Cleansing, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning
Intermediate · Guided Project · Less Than 2 Hours
Status: Free
Google Cloud
Introduction to Image Generation - Français
Skills you'll gain: Generative AI, Google Cloud Platform, Cloud Development, Deep Learning, Applied Machine Learning, Computer Vision, Unsupervised Learning, Machine Learning
Beginner · Course · 1 - 4 Weeks
Packt
Advanced Generative Adversarial Networks (GANs)
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Tensorflow, Keras (Neural Network Library), Computer Vision, Jupyter, Machine Learning, Matplotlib, NumPy
Advanced · Course · 3 - 6 Months
Google Cloud
Predict Visitor Purchases with a Classification Model in BQML
Skills you'll gain: Customer Analysis, Predictive Analytics, E-Commerce, Big Data, Google Cloud Platform, Applied Machine Learning, Machine Learning Methods, Data Analysis, Statistical Modeling
Intermediate · Project · Less Than 2 Hours
Packt
Foundations of R Programming and Basic Data Manipulation
Skills you'll gain: Rmarkdown, Data Import/Export, R Programming, Data Manipulation, Data Visualization, Web Scraping, Ggplot2, Plotly, Programming Principles, Data Visualization Software, Data Wrangling, Data Cleansing, Statistical Programming, Data Transformation, Data Structures, Scripting Languages, Scripting, Development Environment, Leaflet (Software)
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Online Influence and Persuasion
Skills you'll gain: Network Analysis, Data Analysis, Analytics, Statistical Analysis, Facebook, Instagram, Data Mining, Unstructured Data, Social Sciences, Behavioral Economics, Research, Sociology, Persuasive Communication, Application Programming Interface (API), Scripting, Psychology
Intermediate · Course · 1 - 3 Months
Status: New
University of Minnesota
Analytics Project Ideation
Skills you'll gain: Predictive Modeling, Predictive Analytics, Simulations, Exploratory Data Analysis, Experimentation, Business Analytics, Customer Analysis, Project Design, A/B Testing, Data Mining, Business Analysis, Analytical Skills, Ideation, Sprint Planning, Advanced Analytics, Design Thinking, Data Analysis, Process Mapping, Operational Analysis, Statistical Methods
Beginner · Specialization · 3 - 6 Months
Google Cloud
Machine Learning Operations (MLOps): Getting Started - Español
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Application Lifecycle Management, Continuous Deployment, Cloud Solutions, Applied Machine Learning, Machine Learning, Automation
Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular statistical inference courses

Practical AI for Professionals: Northeastern University
Innovating with Data and Google Cloud בעברית: Google Cloud
Computational Thinking with JavaScript 2: Model & Analyse: University of Glasgow
R أساسيات لغة البرمجة: Coursera Project Network
Tidymodels in R: Building tidy machine learning models: Coursera Project Network
Introduction to Image Generation - Français: Google Cloud
Advanced Generative Adversarial Networks (GANs): Packt
Predict Visitor Purchases with a Classification Model in BQML: Google Cloud
Foundations of R Programming and Basic Data Manipulation: Packt
Online Influence and Persuasion: Johns Hopkins University

Statistical Inference Courses Online