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 Trial
University of Colorado Boulder
Probability Theory: Foundation for Data Science
Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Statistics, Bayesian Statistics, Data Science, Statistical Analysis, Statistical Inference
Build toward a degree
4.5
Rating, 4.5 out of 5 stars
253 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Universidad de los Andes
Ciencia de datos
Skills you'll gain: Data Ethics, Data Integration, Exploratory Data Analysis, Statistical Hypothesis Testing, Predictive Modeling, Data Presentation, Correlation Analysis, Data Visualization Software, Classification And Regression Tree (CART), Data Quality, Data Science, Jupyter, Data Analysis, Data Transformation, Data Cleansing, Business Analytics, Data Manipulation, Supervised Learning, Regression Analysis, Applied Machine Learning
4.7
Rating, 4.7 out of 5 stars
511 reviews
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
Yonsei University
Valuation and Financial Analysis For Startups
Skills you'll gain: Capital Budgeting, Financial Statements, Financial Statement Analysis, Business Valuation, Financial Analysis, Cash Flow Forecasting, Strategic Decision-Making, Cost Benefit Analysis, Financial Modeling, Income Statement, Return On Investment, Entrepreneurial Finance, Cash Flows, Balance Sheet, Microsoft Excel, Financial Management, Investment Management, Financial Forecasting, Forecasting, Finance
4.4
Rating, 4.4 out of 5 stars
498 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
SAS
Data Literacy: Exploring and Visualizing Data
Skills you'll gain: Exploratory Data Analysis, Data Literacy, Data Storytelling, Data-Driven Decision-Making, Data Presentation, SAS (Software), Trend Analysis, Data Manipulation, Data Analysis, Data Quality, Data Cleansing, Scatter Plots, Interactive Data Visualization, Technical Communication, Time Series Analysis and Forecasting, Data Ethics, Data Visualization, Data Visualization Software, Research, Business Analytics
4.7
Rating, 4.7 out of 5 stars
1K reviews
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
University of Illinois Urbana-Champaign
Text Retrieval and Search Engines
Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Big Data, Web Analytics and SEO, Machine Learning, Information Architecture, Statistical Methods, Algorithms, Probability & Statistics
4.5
Rating, 4.5 out of 5 stars
960 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
SAS
SAS Visual Business Analytics
Skills you'll gain: SAS (Software), Network Analysis, Trend Analysis, Data Manipulation, Data Analysis, Forecasting, Data Quality, Text Mining, Exploratory Data Analysis, Ad Hoc Reporting, Spatial Data Analysis, Data Visualization Software, Spatial Analysis, Dashboard, Time Series Analysis and Forecasting, Business Analytics, Interactive Data Visualization, Data-Driven Decision-Making, Predictive Analytics, Data Visualization
4.7
Rating, 4.7 out of 5 stars
1.1K reviews
Beginner · Professional Certificate · 3 - 6 Months
National Taiwan University
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
Skills you'll gain: Supervised Learning, Machine Learning, Classification And Regression Tree (CART), Theoretical Computer Science, Applied Mathematics, Mathematical Modeling, Probability & Statistics, Regression Analysis, Algorithms
4.9
Rating, 4.9 out of 5 stars
932 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Universidad Nacional Autónoma de México
Administración financiera y su función en la empresa
Skills you'll gain: Financial Statement Analysis, Financial Management, Corporate Finance, Performance Measurement, Capital Budgeting, Financial Analysis, Budgeting, Financial Modeling, Business Management, Stakeholder Management, Governance
4.8
Rating, 4.8 out of 5 stars
1.7K reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Expressway to Data Science: Essential Math
Skills you'll gain: Linear Algebra, Integral Calculus, Algebra, Numerical Analysis, Calculus, Graphing, Applied Mathematics, Data Science, Mathematical Theory & Analysis, Data Analysis, Statistical Methods, Derivatives
4.5
Rating, 4.5 out of 5 stars
437 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Imperial College London
Measuring Disease in Epidemiology
Skills you'll gain: Epidemiology, Public Health, Preventative Care, Biostatistics, Program Evaluation, General Medical Tests and Procedures, Probability & Statistics, Risk Analysis, Quantitative Research, Health Policy, Science and Research, Statistical Methods, Research
4.7
Rating, 4.7 out of 5 stars
770 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University at Buffalo
Data-Driven Decision Making (DDDM)
Skills you'll gain: Data Storytelling, Statistical Process Controls, Data Literacy, Process Mapping, Data Ethics, Data-Driven Decision-Making, Data Collection, Data Visualization Software, Business Process Improvement, Business Analytics, Analytics, Data Analysis, Root Cause Analysis, Data Strategy, Minitab, Lean Methodologies, Six Sigma Methodology, Process Analysis, Data Cleansing, Statistical Analysis
4.7
Rating, 4.7 out of 5 stars
445 reviews
Beginner · Specialization · 1 - 3 Months
University of Washington
Social Media Data Analytics
Skills you'll gain: R Programming, Text Mining, Statistical Analysis, Correlation Analysis, Web Scraping, Regression Analysis, Analytics, Big Data, Data Analysis, Data Mining, Unstructured Data, Data Collection, Scripting, Application Programming Interface (API), Python Programming
4.1
Rating, 4.1 out of 5 stars
296 reviews
Intermediate · Course · 1 - 4 Weeks