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
SAS
Performing Network, Path, and Text Analyses in SAS Visual Analytics
Skills you'll gain: SAS (Software), Network Analysis, Text Mining, Spatial Analysis, Data Visualization, Business Analytics, Data Manipulation, Data Analysis, Data Transformation
4.7
Rating, 4.7 out of 5 stars
193 reviews
Intermediate · Course · 1 - 4 Weeks
DeepLearning.AI
Нейронные сети и глубокое обучение
Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Machine Learning, Python Programming, Network Architecture, NumPy
3.9
Rating, 3.9 out of 5 stars
13 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of California, Davis
Introduction to Sensory Science
Skills you'll gain: Food Quality Assurance And Control, Consumer Behaviour, Product Testing, Nutrition and Diet, Quality Assessment, Marketing Psychology, Scientific Methods, Psychology, Product Development, Medical Science and Research, Neurology, Statistical Analysis
4.6
Rating, 4.6 out of 5 stars
39 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Illinois Urbana-Champaign
Accounting Data Analytics with Python
Skills you'll gain: Jupyter, Matplotlib, Pandas (Python Package), Data Manipulation, SQL, Data Visualization Software, Seaborn, Data Processing, Data Structures, NumPy, Programming Principles, Business Analysis, Databases, Accounting, Relational Databases, Data Modeling, Python Programming, Descriptive Statistics, Statistical Machine Learning, Regression Analysis
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
108 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
IBM
AI Workflow: Business Priorities and Data Ingestion
Skills you'll gain: Design Thinking, Data Science, Artificial Intelligence, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, NumPy, IBM Cloud, Python Programming
4.3
Rating, 4.3 out of 5 stars
164 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Instructor Network
Mastering Portfolio Analysis
Skills you'll gain: Portfolio Management, Financial Analysis, Data Analysis, Risk Management, Quantitative Research, Market Data, Financial Modeling, Investments, Asset Management, Performance Metric
4.6
Rating, 4.6 out of 5 stars
27 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
LearnQuest
Key Technologies in Data Analytics
Skills you'll gain: Data Warehousing, Data Visualization, Data Analysis, Cloud Computing, Data Architecture, Big Data, Cloud Services, Analytics, Data Storage, Cloud Computing Architecture, Cloud Infrastructure, Cloud Solutions, Scalability, Data Processing, Extract, Transform, Load, Cloud Platforms, Statistical Analysis, Data Integration, Data Mining, Spreadsheet Software
3.7
Rating, 3.7 out of 5 stars
144 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of Colorado Boulder
Project Planning and Machine Learning
Skills you'll gain: Machine Learning Algorithms, Big Data, Product Development, Analytics, File Systems, New Product Development, Data Analysis, Machine Learning, Applied Machine Learning, Internet Of Things, Data Processing, Supervised Learning, Product Planning, Unsupervised Learning, Data Storage
4.6
Rating, 4.6 out of 5 stars
131 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Queen Mary University of London
Research Instruments and Research Hypotheses
Skills you'll gain: Research Reports, Statistical Hypothesis Testing, Survey Creation, Research Design, Statistical Analysis, Data Processing, Data Collection, Quantitative Research, Statistics, Data Analysis, Data Validation
4.9
Rating, 4.9 out of 5 stars
21 reviews
Beginner · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Duke University
Data Science with R
Skills you'll gain: Data Ethics, R Programming, Web Scraping, Data Visualization Software, Data Visualization, Data Science, Ggplot2, Tidyverse (R Package), Data Wrangling, Data Analysis, Data Manipulation, Statistical Programming, Data Integrity, Data Import/Export, Data Transformation, Data Collection, Data Cleansing, Data Quality, Data Presentation, Data Literacy
4.7
Rating, 4.7 out of 5 stars
13 reviews
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
University of Illinois Urbana-Champaign
Accounting for Mergers and Acquisitions: Advanced Topics
Skills you'll gain: Mergers & Acquisitions, Financial Statement Analysis, Corporate Accounting, Investment Banking, Private Equity, Financial Analysis, Corporate Tax, Financial Modeling, Financial Accounting, Capital Markets, Accounting, Corporate Finance, Tax
4.7
Rating, 4.7 out of 5 stars
21 reviews
Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Forecasting Financial Statements & Valuation for Accountants
Skills you'll gain: Financial Forecasting, Financial Statement Analysis, Financial Accounting, Business Valuation, Financial Statements, Cash Flow Forecasting, Financial Analysis, Financial Modeling, Balance Sheet, Generally Accepted Accounting Principles (GAAP), Trend Analysis
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
37 reviews
Intermediate · Course · 1 - 3 Months