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 Pennsylvania
Deep Learning Essentials
Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Data Processing, Artificial Neural Networks, Computer Vision, Machine Learning Algorithms, Machine Learning, Artificial Intelligence
Intermediate · Course · 1 - 4 Weeks
Status: New
Macquarie University
Excel Skills for Statistics and Data Analysis: Intermediate
Skills you'll gain: Interactive Data Visualization, Pivot Tables And Charts, Statistical Inference, Microsoft Excel, Correlation Analysis, Statistics, Statistical Hypothesis Testing, Probability & Statistics, Statistical Analysis, Regression Analysis, Data Analysis, Sampling (Statistics), Descriptive Statistics, Forecasting
Intermediate · Course · 1 - 3 Months
Google Cloud
Production Machine Learning Systems - Español
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Systems Architecture, Cloud Computing Architecture, Applied Machine Learning, Performance Tuning, Software Architecture, Kubernetes, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Statistical Inference, Data Processing, Debugging
4.7
Rating, 4.7 out of 5 stars
6 reviews
Advanced · Course · 1 - 3 Months
Status: New
KodeKloud
AWS Certified AI Practitioner
Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Data Ethics, Amazon Web Services, Cloud Security, Artificial Intelligence, Large Language Modeling, Software Development Life Cycle, Prompt Engineering, Machine Learning, Machine Learning Algorithms, Human Centered Design
Beginner · Course · 1 - 3 Months
DeepLearning.AI
AI、機械学習、ディープラーニングのための TensorFlow 入門
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Deep Learning, Artificial Intelligence, Artificial Neural Networks, Machine Learning
Intermediate · Course · 1 - 4 Weeks
Fundação Instituto de Administração
Fundamentos de IA Aplicados ao CRM
Skills you'll gain: Predictive Analytics, Customer Relationship Management, Advanced Analytics, Data-Driven Decision-Making, Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning
Beginner · Course · 1 - 4 Weeks
Status: New
SkillUp EdTech
Practice Test for CompTIA Data+ Certification
Skills you'll gain: Data Governance, Data Literacy, Data Mining, Data Analysis, Data-Driven Decision-Making, Data Visualization Software, Data Quality, Statistical Analysis, Data Security, Data Transformation
Advanced · Course · 1 - 4 Weeks
Coursera Project Network
Machine/Deep Learning for Mining Quality Prediction-Enhanced
Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Applied Machine Learning, Data Manipulation, Data Analysis, Random Forest Algorithm, Decision Tree Learning, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods
Beginner · Guided Project · Less Than 2 Hours
Universidades Anáhuac
Análisis de datos empresariales con R
Skills you'll gain: R Programming, Business Analytics, Statistical Methods, Statistical Analysis, Advanced Analytics, Data-Driven Decision-Making, Statistical Software, Data Analysis, Unsupervised Learning, Exploratory Data Analysis, Data Visualization, Business Analysis
Beginner · Course · 1 - 3 Months
Status: New
Status: Free
Coursera Instructor Network
GenAI for AWS: AI-Driven Cloud Automation & Scaling
Skills you'll gain: Cloud Computing Architecture, Generative AI, Amazon Web Services, Cloud Computing, Applied Machine Learning, Prompt Engineering, Cloud Security, Serverless Computing, Large Language Modeling, Automation, Artificial Intelligence, AWS Identity and Access Management (IAM), Performance Tuning, Scalability
Intermediate · Course · 1 - 4 Weeks
Illinois Tech
Cloud: Platform as a Service - Master's
Skills you'll gain: Platform As A Service (PaaS), Containerization, Serverless Computing, Cloud Platforms, Docker (Software), Cloud Management, Cloud Computing Architecture, Cloud Computing, Information Management, Cloud Infrastructure, Cloud Security, Public Cloud, Application Deployment, DevOps, Amazon Web Services, Data Management, Database Management Systems, Microservices, Machine Learning, Scalability
Build toward a degree
Intermediate · Course · 1 - 3 Months
Status: Free
Coursera Project Network
Оценка акций через модель дисконтирования дивидендов
Skills you'll gain: Equities, Finance, Financial Analysis, Financial Modeling, International Finance
Intermediate · Guided Project · Less Than 2 Hours