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

H2O.ai
DataPrep for H2O Driverless AI
Skills you'll gain: Supervised Learning, Machine Learning, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Pandas (Python Package), Data Transformation, Exploratory Data Analysis, Classification And Regression Tree (CART), Regression Analysis
Beginner · Course · 1 - 4 Weeks
Google Cloud
Production Machine Learning Systems - Français
Skills you'll gain: Tensorflow, MLOps (Machine Learning Operations), Dependency Analysis, Systems Architecture, Google Cloud Platform, Deep Learning, Applied Machine Learning, Machine Learning, Hybrid Cloud Computing, Performance Tuning, Data Validation, Distributed Computing, Scalability, Data Pipelines, Debugging
Advanced · Course · 1 - 3 Months
Google Cloud
Encoder-Decoder Architecture - 繁體中文
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Natural Language Processing, Deep Learning, Text Mining, Machine Learning
Advanced · Course · 1 - 4 Weeks
Google Cloud
Machine Learning in the Enterprise - 日本語版
Skills you'll gain: Data Governance, MLOps (Machine Learning Operations), Data Management, Forecasting, Google Cloud Platform, Data Pipelines, Applied Machine Learning, Data Processing, Machine Learning, Artificial Neural Networks, Performance Tuning
Intermediate · Course · 1 - 3 Months
Google Cloud
Applying Machine Learning to Your Data with GC - Français
Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Predictive Modeling, Test Data, Deep Learning, Data Processing, Image Analysis, Application Programming Interface (API), Natural Language Processing
Beginner · Course · 1 - 3 Months
Status: New
Status: Free Trial
Whizlabs
Azure ML: Designing and Preparing Machine Learning Solutions
Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Azure Synapse Analytics, Apache Spark, Applied Machine Learning, Data Science, Cloud Computing, Machine Learning, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Data Processing, Scalability, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Whizlabs
Exam Prep DP-100: Microsoft Azure Data Scientist Associate
Skills you'll gain: Statistical Modeling, MLOps (Machine Learning Operations), Microsoft Azure, Azure Synapse Analytics, Apache Spark, Prompt Engineering, Data Management, Data Science, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistics, Cloud Computing, Application Deployment, Data Pipelines, Large Language Modeling, Continuous Monitoring, Data Processing, Generative AI, Data Ethics
Intermediate · Specialization · 1 - 3 Months
Status: New
Status: Free Trial
Universidades Anáhuac
Modelos predictivos con Machine Learning
Skills you'll gain: Predictive Modeling, Time Series Analysis and Forecasting, Predictive Analytics, Statistical Modeling, Data Modeling, Forecasting, Supervised Learning, Regression Analysis, Feature Engineering, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Unsupervised Learning, Statistical Analysis, Machine Learning, Data Manipulation, Data Transformation
Intermediate · Course · 1 - 4 Weeks
Status: New
Packt
NLP – Machine Learning Models in Python
Skills you'll gain: Dimensionality Reduction, Natural Language Processing, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Python Programming, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Linear Algebra, Algorithms
Intermediate · Course · 1 - 3 Months
Status: New
Coursera Instructor Network
GenAI for Compensation Analysis in Law Firms
Skills you'll gain: Compensation Management, Compensation Analysis, Compensation Strategy, Compensation and Benefits, People Analytics, Data-Driven Decision-Making, Benchmarking, Labor Compliance, Payroll, Generative AI, Employee Retention
Intermediate · Course · 1 - 4 Weeks
Status: New
Packt
Natural Language Processing - Probability Models in Python
Skills you'll gain: Natural Language Processing, Text Mining, Scikit Learn (Machine Learning Library), Dimensionality Reduction, Statistical Machine Learning, Unsupervised Learning, Python Programming, Bayesian Statistics, NumPy, Supervised Learning, Machine Learning
Intermediate · Course · 1 - 3 Months
Packt
Certified Six Sigma Yellow Belt Training
Skills you'll gain: Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Statistical Process Controls, Minitab, Waste Minimization, Data-Driven Decision-Making, Kaizen Methodology, Process Improvement, Solution Design, Project Management, Process Analysis, Lean Manufacturing, Data Collection, Pareto Chart, Process Mapping, Sampling (Statistics), Brainstorming, Customer Insights
Beginner · Course · 3 - 6 Months