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
Getting Started with SAS Programming
Skills you'll gain: SAS (Software), Data Import/Export, Data Validation, Data Access, Data Manipulation, Exploratory Data Analysis, Data Analysis, SQL, Data Presentation, Microsoft Excel, Descriptive Statistics
4.8
Rating, 4.8 out of 5 stars
3.1K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Duke University
Data Visualization and Communication with Tableau
Skills you'll gain: Data Storytelling, Dashboard, Tableau Software, Data Visualization, Business Analytics, Statistical Visualization, Business Process, Business Process Improvement, Presentations, Data Visualization Software, Data-Driven Decision-Making, Data Analysis, Graphing, Stakeholder Communications, Data Manipulation
4.7
Rating, 4.7 out of 5 stars
3.2K reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
DeepLearning.AI
Calculus for Machine Learning and Data Science
Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives
4.8
Rating, 4.8 out of 5 stars
848 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Amsterdam
Quantitative Methods
Skills you'll gain: Scientific Methods, Research Design, Sampling (Statistics), Science and Research, Research, Research Methodologies, Surveys, Quantitative Research, Social Sciences, Experimentation, Ethical Standards And Conduct
4.7
Rating, 4.7 out of 5 stars
2.3K reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Exploratory Data Analysis
Skills you'll gain: Exploratory Data Analysis, Data Visualization, Plot (Graphics), Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Scatter Plots, Graphing, Box Plots, Data Analysis, Histogram, Statistical Analysis, Unsupervised Learning, Color Theory
4.7
Rating, 4.7 out of 5 stars
6.1K reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
ESSEC Business School
Strategic Business Analytics
Skills you'll gain: Marketing Analytics, Business Analytics, Forecasting, Peer Review, Data Presentation, Predictive Analytics, R Programming, Customer Analysis, Information Technology, Digital Transformation, Business Marketing, Advanced Analytics, Marketing Strategies, Statistical Analysis, Complex Problem Solving, Analytics, Business Analysis, Data Synthesis, Data Analysis, Data Storytelling
4.4
Rating, 4.4 out of 5 stars
1.3K reviews
Advanced · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
DeepLearning.AI
Applied Statistics for Data Analytics
Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Statistical Modeling, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Histogram, Probability, Probability Distribution, Correlation Analysis, Statistical Inference, Estimation, Simulation and Simulation Software, Sampling (Statistics), Analytical Skills, Spreadsheet Software, Generative AI
4.9
Rating, 4.9 out of 5 stars
21 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
The University of Melbourne
Essentials of Corporate Finance
Skills you'll gain: Financial Analysis, Financial Statement Analysis, Financial Statements, Corporate Finance, Financial Management, Accounting, Financial Systems, Financial Modeling, Investments, Capital Markets, Market Liquidity, Balance Sheet, Derivatives, Financial Market, Income Statement, Financial Data, Business Valuation, International Finance, Mergers & Acquisitions, Capital Budgeting
4.6
Rating, 4.6 out of 5 stars
1.9K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Kennesaw State University
Six Sigma Tools for Define and Measure
Skills you'll gain: Data Collection, Lean Six Sigma, Six Sigma Methodology, Quality Improvement, Process Improvement, Business Process, Project Management, Project Planning, Customer experience improvement, Data Validation, Process Mapping, Statistics, Stakeholder Management, Statistical Analysis
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
2.5K reviews
Beginner · Course · 1 - 4 Weeks
DeepLearning.AI
IA Para Todos (Español)
Skills you'll gain: Market Opportunities, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Strategic Thinking, Artificial Neural Networks, Data Science, Business Intelligence, Deep Learning, Machine Learning, Business Transformation, Computer Vision
4.9
Rating, 4.9 out of 5 stars
1.2K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
IBM
NoSQL, Big Data, and Spark Foundations
Skills you'll gain: NoSQL, Apache Hadoop, Apache Spark, MongoDB, PySpark, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Generative AI, IBM Cloud, Applied Machine Learning, Kubernetes, Supervised Learning, Distributed Computing, Docker (Software), Database Management, Data Pipelines, Scalability
4.5
Rating, 4.5 out of 5 stars
762 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Imperial College London
Mathematics for Machine Learning: PCA
Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Feature Engineering, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Machine Learning, Calculus
4
Rating, 4 out of 5 stars
3.1K reviews
Intermediate · Course · 1 - 4 Weeks