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
Amazon Web Services
Introduction to Machine Learning: Art of the Possible
Skills you'll gain: Business Leadership, Strategic Leadership, Strategic Decision-Making, Business Transformation, Business Strategy, Data-Driven Decision-Making, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Decision Making, Technology Roadmaps
4.1
Rating, 4.1 out of 5 stars
10 reviews
Beginner · Course · 1 - 4 Weeks
Microsoft
Voice of Change: Communicate with Teams for GenAI Adoption
Skills you'll gain: Diversity and Inclusion, Business Leadership, Strategic Leadership, Product Strategy, Talent Management, Business Strategies, Corporate Strategy, Generative AI, Security Strategy, Cross-Functional Collaboration, Artificial Intelligence, Ethical Standards And Conduct, Machine Learning, Communication Strategies
4.3
Rating, 4.3 out of 5 stars
6 reviews
Intermediate · Course · 1 - 3 Months
Google Cloud
Working with Notebooks in Vertex AI
Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Virtual Machines, Machine Learning, Exploratory Data Analysis
Beginner · Course · 1 - 4 Weeks
University of California, Davis
Digital Strategies: Managing Sociotechnological Co-Evolution
Skills you'll gain: Data Ethics, Technology Strategies, Digital Transformation, Machine Learning, Sociology, Social Sciences, Artificial Intelligence, Innovation, Business Ethics, Change Management, Ethical Standards And Conduct, Emerging Technologies, Human Computer Interaction, Policy Analysis, Economics
4.8
Rating, 4.8 out of 5 stars
9 reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Data Processing and Manipulation
Skills you'll gain: Pivot Tables And Charts, Data Manipulation, Data Transformation, Data Processing, Data Warehousing, Data Cleansing, Dimensionality Reduction, Data Quality, Anomaly Detection, Feature Engineering, Sampling (Statistics), Exploratory Data Analysis, Statistical Methods
Intermediate · Course · 1 - 4 Weeks
Fundação Instituto de Administração
Ferramentas para Ciência de Dados: Introdução ao R
Skills you'll gain: Data Visualization, Data Visualization Software, R Programming, Data Manipulation, Data Structures, Data Analysis, Statistical Programming, Integrated Development Environments, Development Environment, Data Import/Export, Software Installation
2.1
Rating, 2.1 out of 5 stars
7 reviews
Beginner · Course
University of California, Davis
Digital Innovation: How to Build Digital Processes
Skills you'll gain: Innovation, Digital Transformation, Digital Communications, Business Transformation, Data Storage, Media and Communications, Virtual Teams, Computational Thinking, Artificial Intelligence, Information Privacy, Scalability, Machine Learning
Beginner · Course · 1 - 4 Weeks
Status: New
Johns Hopkins University
Foundations of Neural Networks
Skills you'll gain: Data Ethics, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Reinforcement Learning, Generative AI, Debugging, Artificial Intelligence, Unsupervised Learning, Machine Learning, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Applied Machine Learning, Unstructured Data, Linear Algebra, Markov Model, Data-Driven Decision-Making, Natural Language Processing
Intermediate · Specialization · 3 - 6 Months
O.P. Jindal Global University
Unsupervised Learning and Its Applications in Marketing
Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Applied Machine Learning, Machine Learning Algorithms, Marketing, Statistical Machine Learning, Supervised Learning, Python Programming, Market Analysis, Exploratory Data Analysis, Data-Driven Decision-Making, Algorithms
Beginner · Course · 1 - 3 Months
Status: Free
Coursera Instructor Network
OpenAI: Consistent Response Strategies
Skills you'll gain: Prompt Engineering, OpenAI, Large Language Modeling, Generative AI, Technical Communication, Sampling (Statistics), Natural Language Processing, Performance Tuning
5
Rating, 5 out of 5 stars
6 reviews
Intermediate · Course · 1 - 4 Weeks
Universidades Anáhuac
Introducción a R
Skills you'll gain: Ggplot2, Data Visualization, R Programming, Statistical Visualization, Statistical Programming, Data Analysis, Programming Principles, Data Manipulation, Software Installation, Data Structures, Integrated Development Environments, Data Import/Export
Beginner · Course · 1 - 3 Months
Fundação Instituto de Administração
Fundamentos de Inteligência Artifical em Marketing
Skills you'll gain: Marketing Strategies, Customer experience strategy (CX), Digital Transformation, Marketing Analytics, MarTech, Data-Driven Decision-Making, Predictive Analytics, Digital Marketing, Machine Learning, Innovation, Trend Analysis, Brand Management, Deep Learning, Artificial Intelligence, Artificial Neural Networks
4.7
Rating, 4.7 out of 5 stars
7 reviews
Beginner · Course · 1 - 4 Weeks