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

SAS
Data Literacy in Practice
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Statistical Visualization, Data Analysis, Data Cleansing, Data Manipulation, Technical Communication, Correlation Analysis
5
Rating, 5 out of 5 stars
6 reviews
Beginner · Course · 1 - 4 Weeks
Google Cloud
Google Cloud Product Fundamentals em Português Brasileiro
Skills you'll gain: Digital Transformation, Google Cloud Platform, Google Workspace, Business Transformation, Cost Management, Cloud Applications, Cloud Solutions, Cloud Platforms, Artificial Intelligence and Machine Learning (AI/ML), Application Development, Cloud Infrastructure, Cloud Computing, IT Infrastructure, Productivity Software, Machine Learning, Cross-Functional Collaboration, Cloud Security, Data Storage
4.6
Rating, 4.6 out of 5 stars
45 reviews
Beginner · Course · 1 - 3 Months
Status: Free
University of London
모두를 위한 머신 러닝
Skills you'll gain: Applied Machine Learning, Artificial Intelligence, Machine Learning, Computer Vision, Data Processing
4.7
Rating, 4.7 out of 5 stars
12 reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Social Media Analytics
Skills you'll gain: Network Analysis, Data Visualization, Graph Theory, Relational Databases, Data Presentation, Data Visualization Software, Data Analysis, Social Sciences, Statistical Analysis, Machine Learning, R Programming, Analytics, Data Manipulation, Applied Machine Learning, Facebook, Instagram, Sociology, Natural Language Processing, Network Model, Text Mining
4
Rating, 4 out of 5 stars
7 reviews
Intermediate · Specialization · 3 - 6 Months
Fred Hutchinson Cancer Center
Researcher's guide to omic fundamentals
Skills you'll gain: Bioinformatics, Data Processing, Data Analysis, Exploratory Data Analysis, Statistical Analysis, Metadata Management, R Programming, Scientific Methods, Data Management, Data Quality
4.1
Rating, 4.1 out of 5 stars
9 reviews
Intermediate · Course · 1 - 3 Months
Microsoft
Analysis and Visualization of Data with Power BI
Skills you'll gain: Dashboard, Power BI, Data Storytelling, Interactive Data Visualization, Data Visualization Software, Business Intelligence, Advanced Analytics, Microsoft Power Platform, Data Analysis, Web Content Accessibility Guidelines, Time Series Analysis and Forecasting
Beginner · Course · 1 - 3 Months
Duke University
Interpretable Machine Learning
Skills you'll gain: Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Natural Language Processing, Deep Learning, Artificial Neural Networks
4.8
Rating, 4.8 out of 5 stars
12 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Análisis exploratorio de datos con Python y Pandas
Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Data Visualization, Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Manipulation, Data Cleansing, Descriptive Statistics, Python Programming
4.3
Rating, 4.3 out of 5 stars
14 reviews
Beginner · Guided Project · Less Than 2 Hours
LearnQuest
Machine Learning Models in Science
Skills you'll gain: Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Classification And Regression Tree (CART), Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Deep Learning, Unsupervised Learning, Supervised Learning, Predictive Modeling
4
Rating, 4 out of 5 stars
12 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
K-Means Clustering 101: World Happiness Report
Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Machine Learning, Social Sciences, Socioeconomics, Scatter Plots, Economics, Policy, and Social Studies, Data Visualization Software, Exploratory Data Analysis, Data Analysis
4.7
Rating, 4.7 out of 5 stars
18 reviews
Beginner · Guided Project · Less Than 2 Hours
University of Colorado Boulder
Regression Analysis
Skills you'll gain: Regression Analysis, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Statistical Modeling, Predictive Modeling, Machine Learning, Feature Engineering
4.9
Rating, 4.9 out of 5 stars
8 reviews
Intermediate · Course · 1 - 3 Months
MathWorks
Deep Learning for Object Detection
Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Data Visualization, Applied Machine Learning, Data Cleansing, Data Analysis, Machine Learning, Performance Tuning
4.9
Rating, 4.9 out of 5 stars
9 reviews
Beginner · Course · 1 - 4 Weeks