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

IBM
Machine Learning Introduction for Everyone
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Deep Learning, Supervised Learning, IBM Cloud, Predictive Modeling, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Software Development Life Cycle
4.5
Rating, 4.5 out of 5 stars
278 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Illinois Urbana-Champaign
Introduction to Business Analytics with R
Skills you'll gain: Tidyverse (R Package), Data Processing, Business Analytics, Data Transformation, Business Intelligence, Data Manipulation, Data Management, R Programming, Data Presentation, Data Analysis, Statistical Programming, Technical Communication, Data-Driven Decision-Making
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
285 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Splunk Inc.
Splunk Search Expert
Skills you'll gain: Splunk, Correlation Analysis, Data Transformation, Data Manipulation, Data Visualization Software, Data Wrangling, Performance Tuning, Statistical Methods, Dashboard, Data Analysis Expressions (DAX), Statistical Analysis, Data Processing, Security Information and Event Management (SIEM), Data Analysis, Data Synthesis, Data Modeling, Ad Hoc Reporting, Time Series Analysis and Forecasting, Exploratory Data Analysis, Transaction Processing
4.6
Rating, 4.6 out of 5 stars
259 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of Michigan
Data Analytics in the Public Sector with R
Skills you'll gain: Exploratory Data Analysis, Data Visualization, Plot (Graphics), Statistical Analysis, Data Presentation, Ggplot2, Program Evaluation, Policy Analysis, Surveys, Data Ethics, Data Analysis, Tidyverse (R Package), Statistical Visualization, R Programming, Statistical Methods, Data Visualization Software, Statistical Hypothesis Testing, Demography, Political Sciences, Public Policies
4.8
Rating, 4.8 out of 5 stars
76 reviews
Intermediate · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
Google
Speed Up Data Analysis and Presentation Building
Skills you'll gain: Data Visualization, Data Presentation, Data Storytelling, Sampling (Statistics), Prompt Engineering, Presentations, Graphing, Data Ethics, Excel Formulas, Data Analysis, Oral Expression, Artificial Intelligence
4.9
Rating, 4.9 out of 5 stars
27 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Columbia University
The Construction Industry: The Way Forward
Skills you'll gain: Construction, Business Transformation, Innovation, Architecture and Construction, Construction Management, Workforce Development, Civil Engineering, Emerging Technologies, Digital Transformation, Thought Leadership, Building Information Modeling, Automation, Data-Driven Decision-Making, Sustainability Reporting, Machine Learning
4.8
Rating, 4.8 out of 5 stars
362 reviews
Beginner · Course · 1 - 3 Months
Edge Impulse
Computer Vision with Embedded Machine Learning
Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Embedded Systems, Deep Learning, Data Ethics, Machine Learning, Artificial Intelligence, Python Programming, Data Collection, Performance Testing
4.8
Rating, 4.8 out of 5 stars
153 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Statistical Methods for Computer Science
Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Probability & Statistics, Bayesian Statistics, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Graph Theory, Statistics
Intermediate · Specialization · 3 - 6 Months
Universidad de los Andes
Fundamentos de estadística aplicada
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Analysis, Regression Analysis, Sampling (Statistics), Statistical Analysis, Probability & Statistics, Probability Distribution, Applied Mathematics, Statistical Inference
4.5
Rating, 4.5 out of 5 stars
134 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Macquarie University
Excel Time Series Models for Business Forecasting
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Financial Forecasting, Microsoft Excel, Demand Planning, Excel Formulas, Trend Analysis, Predictive Modeling, Data Presentation, Statistical Visualization, Graphing, Market Trend, Process Optimization
4.9
Rating, 4.9 out of 5 stars
236 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Predictive Modeling and Analytics
Skills you'll gain: Predictive Analytics, Data Visualization, Data Modeling, Business Analytics, Data Analysis, Statistical Modeling, Data-Driven Decision-Making, Regression Analysis, Machine Learning Methods, Supervised Learning, Decision Tree Learning, Data Cleansing, Artificial Neural Networks
3.6
Rating, 3.6 out of 5 stars
602 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Data Analysis with R
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Data Transformation, R Programming, Data Manipulation, Data Visualization, Box Plots, Predictive Analytics, Statistical Analysis, Regression Analysis, Statistical Modeling, Correlation Analysis, Data Cleansing, Tidyverse (R Package), Supervised Learning
4.7
Rating, 4.7 out of 5 stars
334 reviews
Intermediate · Course · 1 - 3 Months