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

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
Packt
R Ultimate 2023 - R for Data Science and Machine Learning
Skills you'll gain: Rmarkdown, Deep Learning, Shiny (R Package), Data Import/Export, Regression Analysis, Dimensionality Reduction, R Programming, Data Manipulation, Data Visualization, Reinforcement Learning, Web Scraping, Ggplot2, Plotly, Applied Machine Learning, Image Analysis, Artificial Intelligence, Data Mining, Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling
Beginner · Specialization · 3 - 6 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
Status: Free
University of Washington
머신 러닝 기초: 사례 연구 접근 방식
Skills you'll gain: Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Predictive Analytics, Artificial Intelligence, Image Analysis, Unsupervised Learning, Text Mining, Natural Language Processing, Data Mining
Mixed · Course · 1 - 3 Months
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
Board Infinity
The Rise of Generative AI
Skills you'll gain: Generative AI, Artificial Neural Networks, Artificial Intelligence, Deep Learning, Large Language Modeling, Machine Learning, Emerging Technologies, Natural Language Processing
Beginner · Course · 1 - 4 Weeks
Status: Free
Johns Hopkins University
R 프로그래밍
Skills you'll gain: R Programming, Statistical Programming, Statistical Analysis, Data Analysis, Debugging, Software Installation, Simulations, Integrated Development Environments, Programming Principles, Program Development, Data Import/Export, Performance Tuning
Intermediate · Course · 1 - 4 Weeks
Status: New
LearnKartS
AWS AI Practitioner
Skills you'll gain: Prompt Engineering, Large Language Modeling, AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Computer Vision, AWS Identity and Access Management (IAM), Natural Language Processing, Amazon Web Services, Supervised Learning, Data Governance, OpenAI, Machine Learning Algorithms, Identity and Access Management, Feature Engineering, Machine Learning, Artificial Neural Networks, ChatGPT, Data Ethics, Data Management
Beginner · Specialization · 1 - 3 Months
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
Johns Hopkins University
Data Visualization
Skills you'll gain: Data Visualization Software, Scientific Visualization, Interactive Data Visualization, Geospatial Information and Technology, Data Presentation, Color Theory, Graphic and Visual Design, Tree Maps, Visualization (Computer Graphics), Data Storytelling, Statistical Visualization, Design Elements And Principles, Plot (Graphics), Data Literacy, Heat Maps, Computer Displays, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Mapping, Scatter Plots
Intermediate · Specialization · 3 - 6 Months
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
University of Colorado System
Regression Modeling for Marketers
Skills you'll gain: Statistical Software, Marketing Analytics, Regression Analysis, Statistical Modeling, Data Visualization, Statistical Analysis, Market Analysis, Marketing, Predictive Analytics, Marketing Strategies, Predictive Modeling, Customer Insights, Market Dynamics, Statistical Hypothesis Testing, A/B Testing
Intermediate · Course · 1 - 4 Weeks