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

Fundação Instituto de Administração
Engajamento, Conversão e o Consumidor
Skills you'll gain: Marketing Analytics, Sales Strategy, Customer Analysis, Marketing Strategies, Data Visualization Software, Customer Engagement, Data Analysis, Consumer Behaviour, Regression Analysis, Performance Measurement, Market Research, Statistical Analysis, Target Market, Pandas (Python Package), Predictive Modeling, Decision Tree Learning, Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks
Status: Free
Google Cloud
Introduction to Responsible AI - בעברית
Skills you'll gain: Data Ethics, Machine Learning, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform
Beginner · Course · 1 - 4 Weeks
Status: New
Universidades Anáhuac
Impacto de la IA en la Innovación de Negocios
Skills you'll gain: Innovation, Artificial Intelligence, Business Transformation, Digital Transformation, Emerging Technologies, New Product Development, Entrepreneurship, Business Modeling, Business Technologies, Technology Strategies, Algorithms, Lean Methodologies, Big Data, Machine Learning
Intermediate · Course · 1 - 3 Months
Status: Free
New York University
MOST from a Methodological Perspective
Skills you'll gain: Clinical Trials, Experimentation, Environment and Resource Management, Sample Size Determination, Research Design, Continuous Quality Improvement (CQI), Program Evaluation, Statistical Methods, Research Methodologies, Statistical Analysis
Intermediate · Course · 1 - 3 Months
University of Colorado System
Time, Change, and Decisions for Marketing
Skills you'll gain: Marketing Analytics, Anomaly Detection, Advanced Analytics, Bayesian Network, Data-Driven Decision-Making, Marketing Effectiveness, Forecasting, Marketing Strategies, Strategic Decision-Making, Time Series Analysis and Forecasting, Trend Analysis, Statistical Modeling, Simulation and Simulation Software, Predictive Analytics, Customer Analysis, Customer Engagement, Bayesian Statistics, Customer Retention, Reinforcement Learning, Probability Distribution
Intermediate · Course · 1 - 4 Weeks
Status: New
Northeastern University
Generative AI: Foundations and Concepts
Skills you'll gain: Generative AI, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Computer Vision, Applied Mathematics, Machine Learning, Network Architecture, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
MLOps in R: Deploying machine learning models using vetiver
Skills you'll gain: MLOps (Machine Learning Operations), Continuous Deployment, Application Deployment, Tidyverse (R Package), R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Docker (Software), Application Programming Interface (API)
Intermediate · Guided Project · Less Than 2 Hours
Edureka
Machine Learning with PySpark
Skills you'll gain: PySpark, Apache Spark, Unsupervised Learning, Data Processing, Distributed Computing, Big Data, Feature Engineering, Machine Learning, Machine Learning Algorithms, Supervised Learning, Scalability, Regression Analysis
Intermediate · Course · 1 - 4 Weeks
Packt
Financial Analysis - Build a ChatGPT Pairs Trading Bot
Skills you'll gain: Technical Analysis, Financial Trading, Prompt Engineering, ChatGPT, Development Environment, Machine Learning, Financial Forecasting, Financial Analysis, Tensorflow, Artificial Intelligence, Statistical Analysis, Benchmarking, Portfolio Management, Real Time Data, NumPy
Intermediate · Course · 1 - 3 Months
Status: Free
Coursera Instructor Network
GenAI and Model Selection
Skills you'll gain: Generative AI, Applied Machine Learning, Statistical Modeling, Large Language Modeling, AI Personalization, Machine Learning, Systems Integration, Computational Thinking, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks
University of Glasgow
Computational Thinking with JavaScript 2: Model & Analyse
Skills you'll gain: JSON, Data Structures, Computational Thinking, Data Analysis, Data Visualization Software, Scripting Languages, Scripting, Javascript, Data Processing, Unsupervised Learning, Data Science, Data Modeling, Machine Learning, Programming Principles, Algorithms
Beginner · Course · 1 - 4 Weeks
École Polytechnique Fédérale de Lausanne
Geographical Information Systems - Part 2
Skills you'll gain: Spatial Analysis, Spatial Data Analysis, GIS Software, Geographic Information Systems, Geospatial Mapping, Geostatistics, Interactive Data Visualization, Data Integration, Data Mapping, Augmented Reality, Sampling (Statistics)
Beginner · Course · 1 - 3 Months