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

Johns Hopkins University
Introduction to the Tidyverse
Skills you'll gain: Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Transformation, Data Manipulation, R Programming, Data Science, Exploratory Data Analysis, Data Analysis, Ggplot2, File Management, Data Import/Export
4.4
Rating, 4.4 out of 5 stars
50 reviews
Beginner · Course · 1 - 3 Months
Google Cloud
How Google does Machine Learning en Español
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Data Strategy, Machine Learning, Data Ethics, Cloud Computing, Tensorflow, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Management, Deep Learning
4.6
Rating, 4.6 out of 5 stars
243 reviews
Intermediate · Course · 1 - 3 Months
Erasmus University Rotterdam
Multilevel Modeling
Skills you'll gain: R Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Statistical Analysis, Advanced Analytics, Data Modeling
3.9
Rating, 3.9 out of 5 stars
15 reviews
Intermediate · Course · 1 - 4 Weeks
Universidad Nacional Autónoma de México
Toma de decisiones financieras
Skills you'll gain: Fixed Asset, Business Valuation, Financial Management, Corporate Finance, Financial Modeling, Capital Budgeting, Business Mathematics, Financial Analysis, Capital Expenditure, Financial Statements, Investment Management, Asset Management, Return On Investment, Cash Flows, Balance Sheet, Decision Making
4.6
Rating, 4.6 out of 5 stars
227 reviews
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Machine Learning with PySpark: Customer Churn Analysis
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning
4.8
Rating, 4.8 out of 5 stars
18 reviews
Intermediate · Guided Project · Less Than 2 Hours
Arm
Getting Started with Machine Learning at the Edge on Arm
Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Algorithms, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Performance Tuning
4.3
Rating, 4.3 out of 5 stars
7 reviews
Intermediate · Course · 1 - 3 Months
SAS
Creating Advanced Reports with SAS Visual Analytics
Skills you'll gain: Ad Hoc Reporting, SAS (Software), Dashboard, Business Analytics, Business Reporting, Interactive Data Visualization, Business Intelligence Software, Data Visualization Software, Data Analysis, Key Performance Indicators (KPIs), Data Manipulation
4.7
Rating, 4.7 out of 5 stars
213 reviews
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Introduction to Machine Learning in Sports Analytics
Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Statistical Machine Learning, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Machine Learning, Data Analysis, Random Forest Algorithm
4.8
Rating, 4.8 out of 5 stars
24 reviews
Intermediate · Course · 1 - 4 Weeks
SAS
Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics
Skills you'll gain: SAS (Software), Forecasting, Spatial Data Analysis, Data Visualization Software, Time Series Analysis and Forecasting, Data-Driven Decision-Making, Predictive Analytics, Geospatial Mapping, Data Analysis, Geographic Information Systems, Data Manipulation, Data Transformation
4.8
Rating, 4.8 out of 5 stars
221 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Bioinformatics Methods for Transcriptomics
Skills you'll gain: Bioinformatics, Molecular Biology, Data Visualization Software, Statistical Analysis, Command-Line Interface, Linux
Intermediate · Course · 1 - 4 Weeks
MathWorks
Predictive Modeling and Machine Learning with MATLAB
Skills you'll gain: Supervised Learning, Applied Machine Learning, Matlab, Regression Analysis, Predictive Modeling, Classification And Regression Tree (CART), Machine Learning, Predictive Analytics, Feature Engineering, Statistical Modeling, Data Processing, Sampling (Statistics)
4.8
Rating, 4.8 out of 5 stars
118 reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Publishing Visualizations in R with Shiny and flexdashboard
Skills you'll gain: Shiny (R Package), Dashboard, Ggplot2, Interactive Data Visualization, Data Visualization Software, Data Presentation, Application Development, UI Components, Web Applications, User Interface (UI), Application Deployment
4.9
Rating, 4.9 out of 5 stars
70 reviews
Mixed · Course · 1 - 4 Weeks