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

Yonsei University
Emerging Technologies: From Smartphones to IoT to Big Data
Skills you'll gain: Apache Spark, Augmented Reality, Cloud Computing Architecture, Big Data, Wireless Networks, SPSS, Augmented and Virtual Reality (AR/VR), Cloud Computing, Cloud Services, Internet Of Things, Live Streaming, Analytics, Real Time Data, Apache Hadoop, Telecommunications, Multimedia, Emerging Technologies, Mobile Development, Apple iOS, Display Devices
4.7
Rating, 4.7 out of 5 stars
1.9K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
Coursera Project Network
Compare Stock Returns with Google Sheets
Skills you'll gain: Risk Analysis, Google Sheets, Financial Analysis, Quantitative Research, Spreadsheet Software, Statistical Analysis, Statistics, Securities (Finance), Probability & Statistics
4.3
Rating, 4.3 out of 5 stars
663 reviews
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
Fake News Detection with Machine Learning
Skills you'll gain: Exploratory Data Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Matplotlib, Data Cleansing, Data Import/Export, Data Analysis, Natural Language Processing, Data Processing, Data Manipulation, Machine Learning
4.6
Rating, 4.6 out of 5 stars
258 reviews
Beginner · Guided Project · Less Than 2 Hours
DeepLearning.AI
Data Modeling, Transformation, and Serving
Skills you'll gain: Data Modeling, Data Transformation, Data Processing, Data Warehousing, Apache Hadoop, Data Integration, Extract, Transform, Load, Data Pipelines, Apache Spark, Data Manipulation, Star Schema, Applied Machine Learning, Real Time Data, Machine Learning, Natural Language Processing
4.6
Rating, 4.6 out of 5 stars
69 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Advanced R Programming
Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Programming Principles, Data Manipulation, Data Structures, Software Design Patterns, Performance Tuning
4.2
Rating, 4.2 out of 5 stars
574 reviews
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Essential Linear Algebra for Data Science
Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra
4.4
Rating, 4.4 out of 5 stars
171 reviews
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Precalculus: Relations and Functions
Skills you'll gain: Graphing, Data Analysis, R Programming, General Mathematics, Mathematical Modeling, Algebra, Applied Mathematics, Calculus
4.7
Rating, 4.7 out of 5 stars
213 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Exploratory Data Analysis With Python and Pandas
Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Statistical Analysis
4.5
Rating, 4.5 out of 5 stars
435 reviews
Beginner · Guided Project · Less Than 2 Hours
CertNexus
CertNexus Certified Data Science Practitioner
Skills you'll gain: Extract, Transform, Load, Data Analysis, Jupyter, Data Visualization, Unsupervised Learning, Applied Machine Learning, Statistical Analysis, Exploratory Data Analysis, Machine Learning, Analytical Skills, Data Manipulation, Data Cleansing, Data Processing, Stakeholder Engagement, Project Scoping, Data Presentation, Business Priorities, Classification And Regression Tree (CART), Stakeholder Management, Business Analytics
4.6
Rating, 4.6 out of 5 stars
70 reviews
Intermediate · Professional Certificate · 3 - 6 Months
University of California, Davis
AI for Knowledge Workers
Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Innovation, Artificial Neural Networks, Brainstorming, Machine Learning, Deep Learning, Workforce Development, Content Creation, Emerging Technologies, Information Privacy, Safety and Security
4.6
Rating, 4.6 out of 5 stars
113 reviews
Beginner · Course · 1 - 4 Weeks
University of California San Diego
Applied Bioinformatics
Skills you'll gain: Bioinformatics, Laboratory Testing, Molecular Biology, Infectious Diseases, Network Analysis, Medical Science and Research, Computational Thinking, Biochemistry, Data Mining, Life Sciences, Scientific Visualization, Microbiology, Science and Research, Biology, Data Analysis Software, Pharmacology
4.4
Rating, 4.4 out of 5 stars
63 reviews
Beginner · Specialization · 1 - 3 Months
Status: Free
Universiteit Leiden
Population Health: Responsible Data Analysis
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Analysis, Descriptive Statistics, Statistical Methods, Probability & Statistics, Data Ethics, Data Collection, Exploratory Data Analysis, Statistical Reporting, Statistical Modeling, Data Cleansing, Data Quality
4.6
Rating, 4.6 out of 5 stars
45 reviews
Beginner · Course · 1 - 3 Months