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

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Explore the Statistical Inference Course Catalog

Status: New
Whizlabs
Exam Prep AI-900: Microsoft Certified Azure AI Fundamentals
Skills you'll gain: Generative AI, Microsoft Azure, Image Analysis, Computer Vision, OpenAI, Artificial Intelligence, Natural Language Processing, Machine Learning, Data Ethics, Deep Learning, Text Mining, Data Science
Beginner · Course · 1 - 3 Months
Google Cloud
Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Application Deployment, Deep Learning, Artificial Neural Networks, Data Cleansing, Scalability, Data Transformation, Machine Learning, Application Programming Interface (API)
Intermediate · Course · 1 - 3 Months
Status: New
Packt
Cluster Analysis and Unsupervised Machine Learning in Python
Skills you'll gain: Unsupervised Learning, Data Visualization, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Science, Statistical Methods, Algorithms, NumPy, Python Programming
Intermediate · Course · 1 - 3 Months
Status: New
Status: Free Trial
University of Colorado Boulder
Essential Dashboarding & Storytelling Techniques
Skills you'll gain: Dashboard, Tableau Software, Interactive Data Visualization, Data Storytelling, Data Visualization Software, Statistical Visualization, Histogram, Scatter Plots
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Packt
Intermediate Data Manipulation and Machine Learning
Skills you'll gain: Regression Analysis, Dimensionality Reduction, Reinforcement Learning, Artificial Intelligence, Data Mining, Machine Learning, Applied Machine Learning, Classification And Regression Tree (CART), Statistical Analysis, Predictive Modeling, Supervised Learning, Unsupervised Learning, Feature Engineering, Random Forest Algorithm, Data Manipulation
Intermediate · Course · 3 - 6 Months
Status: Free Trial
Packt
AWS Visualization, Security, and Exam Preparation
Skills you'll gain: AWS SageMaker, Dashboard, Data Visualization Software, Amazon CloudWatch, Amazon Redshift, AWS Kinesis, Amazon Web Services, Big Data, AWS Identity and Access Management (IAM), Amazon DynamoDB, Cloud Security, Amazon S3, Predictive Modeling, Encryption, Key Management, Machine Learning
Advanced · Course · 1 - 3 Months
Packt
Complete SAS Guide - Learn SAS and Become a Data Ninja
Skills you'll gain: SAS (Software), Data Import/Export, Predictive Modeling, Data Manipulation, Statistical Analysis, SQL, Feature Engineering, Data Analysis, R Programming, Data Cleansing, Regression Analysis, Software Installation, Statistical Hypothesis Testing, System Configuration
Beginner · Course · 3 - 6 Months
Status: New
Clemson University
Applied Data Science
Skills you'll gain: Dimensionality Reduction, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Statistical Methods, Descriptive Statistics, Data Analysis, Data Visualization Software, Applied Machine Learning, Pandas (Python Package), Big Data, Data-Driven Decision-Making, Exploratory Data Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Supervised Learning
Intermediate · Course · 1 - 3 Months
Google Cloud
Machine Learning in the Enterprise - Português Brasileiro
Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Workflow Management, Data Management, Google Cloud Platform, Data Pipelines, Feature Engineering, Predictive Modeling, Applied Machine Learning, Machine Learning, Performance Tuning, Continuous Monitoring
Intermediate · Course · 1 - 3 Months
Status: New
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
Google Cloud
Attention Mechanism - Español
Skills you'll gain: Applied Machine Learning, Artificial Neural Networks, Text Mining, Deep Learning, Machine Learning, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks
Google Cloud
Feature Engineering - 한국어
Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, Data Processing, Data Pipelines, MLOps (Machine Learning Operations), Keras (Neural Network Library), Data Transformation, Machine Learning, Scalability
Intermediate · Course · 1 - 3 Months

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

Exam Prep AI-900: Microsoft Certified Azure AI Fundamentals: Whizlabs
Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro: Google Cloud
Cluster Analysis and Unsupervised Machine Learning in Python: Packt
Essential Dashboarding & Storytelling Techniques: University of Colorado Boulder
Intermediate Data Manipulation and Machine Learning: Packt
AWS Visualization, Security, and Exam Preparation: Packt
Complete SAS Guide - Learn SAS and Become a Data Ninja: Packt
Applied Data Science: Clemson University
Machine Learning in the Enterprise - Português Brasileiro: Google Cloud
GenAI for AWS: AI-Driven Cloud Automation & Scaling: Coursera Instructor Network

Statistical Inference Courses Online