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
University of Pennsylvania
Intro to Predictive Analytics Using Python
Skills you'll gain: Feature Engineering, Unsupervised Learning, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Random Forest Algorithm, Analytics, Statistical Modeling, Data Analysis, Regression Analysis, Machine Learning, Python Programming
Beginner · Course · 1 - 4 Weeks
Status: New
Corporate Finance Institute
Data Prep for Machine Learning in Python
Skills you'll gain: Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Data Manipulation, Data Visualization, Data Transformation, Pandas (Python Package), Box Plots, Scatter Plots, Histogram, Python Programming, Data Science, Scikit Learn (Machine Learning Library), Statistical Analysis
Advanced · Course · 1 - 3 Months
Status: New
Johns Hopkins University
Practical Methodology and Ethics in AI
Skills you'll gain: Data Ethics, Deep Learning, Debugging, Artificial Intelligence, Machine Learning, Ethical Standards And Conduct, Bayesian Statistics, Unstructured Data, Artificial Neural Networks, Data-Driven Decision-Making, Information Privacy, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks
Status: Free
Johns Hopkins University
Exploring Algorithmic Bias as a Policy Issue: A Teach-Out
Skills you'll gain: Algorithms, Policy Analysis, Social Justice, Diversity Awareness, Data Ethics, Machine Learning, Mitigation
Mixed · Course · 1 - 3 Months
Status: New
Johns Hopkins University
Machine Learning and Emerging Technologies in Cybersecurity
Skills you'll gain: Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Applied Machine Learning, Network Security, Machine Learning Algorithms, Machine Learning, Supervised Learning, Data Mining, Artificial Neural Networks
Intermediate · Course · 1 - 3 Months
Status: New
Simplilearn
Supervised Learning Regression Classification Clustering
Skills you'll gain: Supervised Learning, Data Modeling, Applied Machine Learning, Data Analysis, Regression Analysis, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Data Science, Machine Learning, Predictive Modeling, Data Mining, Predictive Analytics, Random Forest Algorithm, Bayesian Statistics
Beginner · Course · 1 - 4 Weeks
Status: Free
Google Cloud
Attention Mechanism - Italiano
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Applied Machine Learning, Natural Language Processing, Machine Learning, Text Mining
Intermediate · Course · 1 - 4 Weeks
Status: Free
Google Cloud
Attention Mechanism - Français
Skills you'll gain: Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Natural Language Processing, Performance Tuning, Text Mining
Intermediate · Course · 1 - 4 Weeks
Google Cloud
Machine Learning in the Enterprise - Español
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Workflow Management, Data Management, Predictive Modeling, Data Pipelines, Applied Machine Learning, Machine Learning, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Containerization
Intermediate · Course · 1 - 3 Months
Google Cloud
Introduction to AI and Machine Learning on GC - Français
Skills you'll gain: Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Applied Machine Learning, Artificial Intelligence, Machine Learning, Data Pipelines, Application Programming Interface (API), Natural Language Processing, Automation
Beginner · Course · 1 - 3 Months
Coursera Project Network
CNNs with TensorFlow: Basics of Machine Learning
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Python Programming, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours
Status: Free
Google Cloud
Introduction to Image Generation - Italiano
Skills you'll gain: Generative AI, Image Analysis, Google Cloud Platform, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning
Beginner · Course · 1 - 4 Weeks

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

Intro to Predictive Analytics Using Python: University of Pennsylvania
Data Prep for Machine Learning in Python: Corporate Finance Institute
Practical Methodology and Ethics in AI: Johns Hopkins University
Exploring Algorithmic Bias as a Policy Issue: A Teach-Out: Johns Hopkins University
Machine Learning and Emerging Technologies in Cybersecurity: Johns Hopkins University
Supervised Learning Regression Classification Clustering: Simplilearn
Attention Mechanism - Italiano: Google Cloud
Attention Mechanism - Français: Google Cloud
Machine Learning in the Enterprise - Español: Google Cloud
Introduction to AI and Machine Learning on GC - Français: Google Cloud

Statistical Inference Courses Online