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

American Psychological Association
How to Create and Explore a Data Set
Skills you'll gain: Histogram, Data Analysis, Exploratory Data Analysis, Analysis, Graphing, Data Visualization Software, Descriptive Statistics, Statistics, Probability & Statistics, Data Management, Research, Psychology
Beginner · Course · 1 - 3 Months
Google Cloud
Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Infrastructure, Machine Learning, Analytics, Systems Design, Data Processing, Data Pipelines, Data Integrity, Data Architecture, Big Data, Data Warehousing, Data Storytelling, Cloud Security, Cloud Computing, Data Storage, Scalability, Cloud Storage, SQL
Advanced · Course · 1 - 3 Months
Status: Free
Maven Analytics
Complete Visual Guide to Machine Learning
Skills you'll gain: Unsupervised Learning, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Analysis, Data Science, Data Mining, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Data Quality, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Random Forest Algorithm
Beginner · Course · 1 - 3 Months
DeepLearning.AI
Améliorez les réseaux neuronaux profonds
Skills you'll gain: Deep Learning, Tensorflow, Artificial Neural Networks, Performance Tuning, Machine Learning Algorithms, Machine Learning, Network Architecture, Algorithms, Regression Analysis
Beginner · 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, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Predictive Analytics, Image Analysis, Unsupervised Learning, Text Mining, Data Mining
Mixed · Course · 1 - 3 Months
Coursera Project Network
Оценка акций через модель дисконтирования дивидендов
Skills you'll gain: Business Valuation, Equities, Finance, Financial Analysis, Financial Modeling, Financial Data
Intermediate · Guided Project · Less Than 2 Hours
Duke University
Data Visualization and Modeling in Python
Skills you'll gain: Matplotlib, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Visualization (Computer Graphics), Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Statistical Methods, Probability & Statistics, Python Programming
Intermediate · Course · 1 - 4 Weeks
Universidad de los Andes
Visión artificial contemporánea
Skills you'll gain: Computer Vision, Image Analysis, Generative AI, Deep Learning, Augmented and Virtual Reality (AR/VR), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Unsupervised Learning, Machine Learning
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
6 reviews
Intermediate · Course · 1 - 4 Weeks
DeepLearning.AI
Structurer des projets d’apprentissage automatique
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, MLOps (Machine Learning Operations), Data Science, Analysis, Algorithms, Performance Testing
Beginner · Course · 1 - 4 Weeks
University of Colorado System
Particle Filters (and Navigation)
Skills you'll gain: Bayesian Network, Numerical Analysis, Estimation, Simulations, Matlab, Global Positioning Systems, Mathematical Modeling, Applied Mathematics, Algorithms
Intermediate · Course · 1 - 4 Weeks
Universidad Austral
NLP System Architecture and Dev-Ops
Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, PyTorch (Machine Learning Library), Application Development, Algorithms, Software Architecture, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Text Mining, System Implementation, Machine Learning
Beginner · Course · 1 - 4 Weeks
Edureka
Python for Data Visualization and Analysis
Skills you'll gain: Exploratory Data Analysis, Matplotlib, Data Visualization Software, Data Presentation, Seaborn, Statistical Visualization, Interactive Data Visualization, Plotly, Dashboard, Data-Driven Decision-Making, Scatter Plots, Data Analysis, Pandas (Python Package), Histogram, Box Plots, Jupyter, Web Applications
Intermediate · Course · 1 - 4 Weeks