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: Free
Korea Advanced Institute of Science and Technology(KAIST)
AI Materials
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Image Analysis, Computer Vision, Manufacturing Processes, Machine Learning, Deep Learning
4.7
Rating, 4.7 out of 5 stars
40 reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Ideal Gases
Skills you'll gain: Chemical Engineering, Chemistry, Thermal Management, Engineering Calculations, Mechanics, Semiconductors, Physical Science, Physics, Numerical Analysis, Mathematical Modeling
4.5
Rating, 4.5 out of 5 stars
142 reviews
Advanced · Course · 1 - 4 Weeks
S.P. Jain Institute of Management and Research
Data Analysis
Skills you'll gain: Data Analysis, Quantitative Research, Statistical Hypothesis Testing, Sampling (Statistics), Descriptive Statistics, Business Analytics, Regression Analysis, Business Mathematics, Data-Driven Decision-Making, Statistical Analysis, Probability Distribution, Microsoft Excel, Statistical Inference, Probability, Variance Analysis, Estimation
Build toward a degree
Beginner · Course · 1 - 3 Months
Universidad de los Andes
Los portafolios y las inversiones en el mercado de capitales
Skills you'll gain: Portfolio Management, Investments, Financial Market, Capital Markets, Equities, Risk Analysis, Financial Modeling, Asset Management, Return On Investment, Financial Analysis, Risk Management, Market Dynamics
4.8
Rating, 4.8 out of 5 stars
78 reviews
Intermediate · Course · 1 - 4 Weeks
University of London
The Data Science Profession – Student View
Skills you'll gain: Machine Learning Algorithms, Unsupervised Learning, Data Science, Applied Machine Learning, Data Analysis, Machine Learning
4.8
Rating, 4.8 out of 5 stars
38 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
RStudio for Six Sigma - Basic Descriptive Statistics
Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Data Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, Six Sigma Methodology, Box Plots, R Programming, Probability Distribution, Data Analysis
4.7
Rating, 4.7 out of 5 stars
64 reviews
Beginner · Guided Project · Less Than 2 Hours
IBM
AI Workflow: Data Analysis and Hypothesis Testing
Skills you'll gain: Exploratory Data Analysis, Probability Distribution, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation
4.3
Rating, 4.3 out of 5 stars
123 reviews
Advanced · Course · 1 - 4 Weeks
SAS
Regression Modeling Fundamentals
Skills you'll gain: Predictive Modeling, Predictive Analytics, SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Data Analysis, Statistical Methods, Probability & Statistics, Statistical Hypothesis Testing
4.7
Rating, 4.7 out of 5 stars
53 reviews
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Linear Regression with Python
Skills you'll gain: Regression Analysis, NumPy, Applied Machine Learning, Supervised Learning, Machine Learning, Predictive Modeling
4.6
Rating, 4.6 out of 5 stars
428 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: New
Johns Hopkins University
Introduction to AI: Key Concepts and Applications
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Performance Metric, Strategic Leadership, Strategic Decision-Making, Data Quality, Applied Machine Learning, Data Ethics, Machine Learning, Supervised Learning, Algorithms, Artificial Neural Networks, Data Validation, Random Forest Algorithm, Resource Utilization, System Requirements
4.8
Rating, 4.8 out of 5 stars
16 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
Coursera Project Network
Portfolio Optimization using Markowitz Model
Skills you'll gain: Portfolio Management, Finance, Financial Modeling, Correlation Analysis, Investment Management, Risk Modeling, Equities, Probability & Statistics
4.4
Rating, 4.4 out of 5 stars
318 reviews
Intermediate · Guided Project · Less Than 2 Hours
Microsoft
Prepare for DP-100: Data Science on Microsoft Azure Exam
Skills you'll gain: Databricks, Microsoft Azure, Data Science, MLOps (Machine Learning Operations), Predictive Modeling, Scikit Learn (Machine Learning Library), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Deep Learning, Tensorflow, Regression Analysis
4.4
Rating, 4.4 out of 5 stars
59 reviews
Intermediate · Course · 1 - 3 Months