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
Johns Hopkins University
R البرمجة باستخدام لغة
Skills you'll gain: R Programming, Statistical Programming, Statistical Analysis, Debugging, Data Analysis Software, Simulations, Programming Principles, Integrated Development Environments, Data Import/Export, Data Structures, Data Manipulation, Computer Programming, Performance Tuning, Software Installation
Intermediate · Course · 1 - 4 Weeks
Board Infinity
The Rise of Generative AI
Skills you'll gain: Generative AI, Artificial Neural Networks, Artificial Intelligence, Deep Learning, Large Language Modeling, Machine Learning, Emerging Technologies, Natural Language Processing
Beginner · Course · 1 - 4 Weeks
Google Cloud
Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Infrastructure, Machine Learning, Data Processing, Data Pipelines, Data Integrity, Data Architecture, Big Data, Analytical Skills, Data Warehousing, Data Visualization, Data Storytelling, Data Presentation, Cloud Security, Scalability, Cloud Storage, Identity and Access Management, SQL
Advanced · Course · 1 - 3 Months
Rice University
Finanzen für Nicht-Finanzfachleute
Skills you'll gain: Cash Flows, Return On Investment, Finance, Business Valuation, Capital Budgeting, Financial Analysis, Financial Modeling, Investment Management, Financial Management, Financial Statements, Risk Analysis, Corporate Finance
Beginner · Course · 1 - 3 Months
Google Cloud
Build, Train and Deploy ML Models with Keras on Google Cloud - Español
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Deep Learning, Data Transformation, Artificial Neural Networks, Machine Learning, Application Programming Interface (API)
Intermediate · Course · 1 - 3 Months
Status: Free
Northeastern University
Data Analytics Engineering: Probability & Techniques
Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Statistical Analysis, Data Structures, Data Cleansing, Descriptive Statistics, Data Visualization Software, Python Programming
Mixed · Course · 1 - 4 Weeks
Universidad Austral
NLP System Architecture and Dev-Ops
Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Machine Learning Algorithms, Software Development Life Cycle, Machine Learning
Beginner · Course · 1 - 4 Weeks
Status: Free
University of Washington
머신 러닝 기초: 사례 연구 접근 방식
Skills you'll gain: Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Predictive Analytics, Artificial Intelligence, Image Analysis, Unsupervised Learning, Text Mining, Natural Language Processing, Data Mining
Mixed · Course · 1 - 3 Months
Status: Free
Pontificia Universidad Católica de Chile
Fundamentos de sistemas recomendadores
Skills you'll gain: AI Personalization, Machine Learning Algorithms, Machine Learning Software, Machine Learning, Predictive Modeling, Statistical Machine Learning, Dimensionality Reduction, Analysis, Linear Algebra, Content Management, Text Mining
Intermediate · Course · 1 - 3 Months
Packt
Building Recommender Systems with Machine Learning and AI
Skills you'll gain: Apache Spark, Deep Learning, Python Programming, Scalability, Applied Machine Learning, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Dimensionality Reduction, Feature Engineering, Performance Tuning
Intermediate · Course · 3 - 6 Months
University of Glasgow
Capstone Assignment - CDSS 5
Skills you'll gain: Data Mining, Deep Learning, Health Informatics, Applied Machine Learning, Machine Learning, Artificial Intelligence, Healthcare Ethics, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 4 Weeks
Status: New
University of Glasgow
Applied AI for Engineers and Scientists: Foundations
Skills you'll gain: Artificial Neural Networks, Matlab, Supervised Learning, Applied Machine Learning, Machine Learning, Data Manipulation, Data Cleansing, Artificial Intelligence, Feature Engineering, Data Transformation, Classification And Regression Tree (CART), Predictive Modeling, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Software, Programming Principles, Computer Programming, Scripting, Data Structures, Machine Learning Algorithms
Beginner · Specialization · 1 - 3 Months