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

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Explore the Statistical Inference Course Catalog

Status: Free
Google Cloud
Introduction to Generative AI - Français
Skills you'll gain: Generative AI, Application Development, Google Cloud Platform, Artificial Intelligence, Machine Learning
4.3
Rating, 4.3 out of 5 stars
25 reviews
Beginner · Course · 1 - 4 Weeks
Splunk Inc.
Splunk Search Expert 103
Skills you'll gain: Splunk, Correlation Analysis, Performance Tuning, Data Manipulation, Data Analysis, Data Modeling, Transaction Processing
4.7
Rating, 4.7 out of 5 stars
45 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Erasmus University Rotterdam
Studying Cities: Social Science Methods for Urban Research
Skills you'll gain: Surveys, Research, Research Methodologies, Data Collection, Research Design, Data Analysis, Qualitative Research, Statistical Analysis, Social Sciences, Experimentation, Descriptive Statistics
4.7
Rating, 4.7 out of 5 stars
227 reviews
Mixed · Course · 1 - 3 Months
Whizlabs
Exam Prep AI-102: Microsoft Azure AI Engineer Associate
Skills you'll gain: Microsoft Azure, Data Ethics, Natural Language Processing, Image Analysis, Generative AI, Artificial Intelligence, Azure Active Directory, Cloud Solutions, Computer Vision, OpenAI, Text Mining, Machine Learning, Key Management, Application Deployment, Application Programming Interface (API)
3.4
Rating, 3.4 out of 5 stars
19 reviews
Intermediate · Course · 1 - 3 Months
Packt
The STATA OMNIBUS: Regression and Modelling with STATA
Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Analysis, Advanced Analytics, Correlation Analysis, Statistical Visualization, Data Manipulation, Sampling (Statistics), Statistical Hypothesis Testing, Descriptive Statistics
Beginner · Course · 3 - 6 Months
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
Imperial College London
Probabilistic Deep Learning with TensorFlow 2
Skills you'll gain: Generative AI, Tensorflow, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction
4.7
Rating, 4.7 out of 5 stars
108 reviews
Advanced · Course · 1 - 3 Months
L&T EduTech
AI & ML Applications in Oil and Gas Industry
Skills you'll gain: Big Data, Data Processing, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Process Engineering, Geostatistics, Anomaly Detection, Image Analysis, Energy and Utilities, Machine Learning, Automation, Physical Science, Natural Resource Management, Simulation and Simulation Software
4.9
Rating, 4.9 out of 5 stars
38 reviews
Beginner · Course · 1 - 4 Weeks
LearnQuest
Demand Forecasting Using Time Series
Skills you'll gain: Time Series Analysis and Forecasting, Demand Planning, Trend Analysis, Data Visualization, Customer Demand Planning, Regression Analysis, Matplotlib, Forecasting, Predictive Modeling, Supply Chain Management, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Statistical Modeling
3.4
Rating, 3.4 out of 5 stars
35 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Peking University
社会调查与研究方法（下）Methodologies in Social Research (Part 2)
Skills you'll gain: Surveys, Survey Creation, Statistical Analysis, Interviewing Skills, Data Collection, Research Methodologies, Research, Social Sciences, Qualitative Research, Research Reports, Data Mining, Research Design, Data Cleansing, Report Writing
4.9
Rating, 4.9 out of 5 stars
25 reviews
Mixed · Course · 1 - 3 Months
Status: Free
Coursera Instructor Network
Applying Python for Data Analysis
Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Business Analytics, Statistics, Data Visualization Software, Descriptive Statistics, Data Cleansing, Time Series Analysis and Forecasting, Correlation Analysis, Python Programming
4.3
Rating, 4.3 out of 5 stars
13 reviews
Beginner · Course · 1 - 4 Weeks
Corporate Finance Institute
Accounting Fundamentals
Skills you'll gain: Income Statement, Financial Statements, Accounting, Balance Sheet, Financial Accounting, Financial Reporting, Bookkeeping, Financial Modeling, Cash Flows, Financial Analysis
4.9
Rating, 4.9 out of 5 stars
32 reviews
Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular statistical inference courses

Introduction to Generative AI - Français: Google Cloud
Splunk Search Expert 103: Splunk Inc.
Studying Cities: Social Science Methods for Urban Research: Erasmus University Rotterdam
Exam Prep AI-102: Microsoft Azure AI Engineer Associate: Whizlabs
The STATA OMNIBUS: Regression and Modelling with STATA: Packt
AI Workflow: Data Analysis and Hypothesis Testing: IBM
Probabilistic Deep Learning with TensorFlow 2: Imperial College London
AI & ML Applications in Oil and Gas Industry: L&T EduTech
Demand Forecasting Using Time Series: LearnQuest
社会调查与研究方法（下）Methodologies in Social Research (Part 2): Peking University

Statistical Inference Courses Online