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

Google Cloud
Innovating with Google Cloud Artificial Intelligence - 日本語版
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Artificial Intelligence, Data Ethics, Data Quality, Machine Learning, Cloud API, Business Intelligence, Computer Vision, Natural Language Processing, Application Programming Interface (API), Predictive Analytics
Beginner · Course · 1 - 4 Weeks
Status: Free
O.P. Jindal Global University
Development Economics
Skills you'll gain: Economic Development, Economics, Socioeconomics, International Relations, Social Sciences, Policty Analysis, Research, and Development, Human Development, World History, Growth Strategies, Demography
Beginner · Course · 1 - 3 Months
Status: New
Packt
Mastering Machine Learning Algorithms using Python
Skills you'll gain: Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Deep Learning, Random Forest Algorithm, Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, Data Processing, Predictive Modeling, NumPy, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Machine Learning Algorithms, Machine Learning, Regression Analysis
Intermediate · Specialization · 3 - 6 Months
Coursera Project Network
Crie seu primeiro funil de conversão e CRM com Hubspot
Skills you'll gain: HubSpot CRM, Customer Relationship Management (CRM) Software, Sales Process, Sales Pipelines, Customer Relationship Management, Closing (Sales), Sales Strategy, Organizational Skills, Relationship Management
Beginner · Guided Project · Less Than 2 Hours
Google Cloud
Using Beam ML to catch Toxicity in Gaming
Skills you'll gain: Real Time Data, Scalability, Data Pipelines, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning
Intermediate · Project · Less Than 2 Hours
Status: New
Universidades Anáhuac
Mejora tu negocio con Inteligencia Artificial
Skills you'll gain: Data-Driven Decision-Making, Artificial Intelligence, Customer Analysis, Business Analytics, AI Personalization, Business Process Automation, Image Analysis, Machine Learning, Virtual Environment, Applied Machine Learning, Supervised Learning, Natural Language Processing
Beginner · Course · 1 - 3 Months
Status: New
L&T EduTech
Solar Power Generation
Skills you'll gain: Electric Power Systems, Simulation and Simulation Software, Energy and Utilities, Electrical Systems, Power Electronics, Semiconductors, Scalability, Electrical Equipment, Emerging Technologies, Technology Solutions, Innovation, Cost Estimation, Environment, Matlab
Beginner · Course · 1 - 3 Months
Status: New
Board Infinity
Introduction to Continuous Improvement Process
Skills you'll gain: Statistical Process Controls, ISO 9000 Series, Product Quality (QA/QC), Quality Management Systems, Quality Management, Quality Improvement, Customer experience improvement, Continuous Improvement Process, Process Improvement, Kaizen Methodology, Customer Insights, Data-Driven Decision-Making
Beginner · Course · 1 - 4 Weeks
DeepLearning.AI
النماذج المتعاقبة
Skills you'll gain: Deep Learning, Natural Language Processing, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence, Machine Learning, Time Series Analysis and Forecasting, Algorithms
Intermediate · Course · 1 - 4 Weeks
University of Michigan
투자 기술의 혁신: AI
Skills you'll gain: FinTech, Investments, Wealth Management, Financial Trading, Investment Management, Asset Management, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Analytics, Artificial Neural Networks, Portfolio Management, Machine Learning, Financial Analysis
Beginner · Course · 1 - 4 Weeks
DeepLearning.AI
Modèles de séquence
Skills you'll gain: Natural Language Processing, Deep Learning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Algorithms
Intermediate · Course · 1 - 4 Weeks
Packt
Introduction to RNN and DNN
Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Network Architecture
Beginner · Course · 1 - 4 Weeks