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

Duke University
Data Science with NumPy, Sets, and Dictionaries
Skills you'll gain: Data Structures, NumPy, Data Science, Object Oriented Programming (OOP), Python Programming, Data Analysis, Image Analysis, Data Manipulation, Descriptive Statistics, Performance Tuning, Linear Algebra, Probability & Statistics
3.4
Rating, 3.4 out of 5 stars
12 reviews
Beginner · Course · 1 - 4 Weeks
CertNexus
Train Machine Learning Models
Skills you'll gain: Jupyter, Unsupervised Learning, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Regression Analysis, Machine Learning, Supervised Learning, Data Modeling, Machine Learning Algorithms, Feature Engineering, Test Case, Performance Tuning, Statistical Hypothesis Testing, Performance Metric
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Applied Machine Learning
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Statistical Machine Learning, Deep Learning, Artificial Neural Networks, Decision Tree Learning
3.7
Rating, 3.7 out of 5 stars
7 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free
Google Cloud
Introduction to Generative AI - Italiano
Skills you'll gain: Generative AI, Application Development, Google Cloud Platform, Artificial Intelligence, Machine Learning
4.5
Rating, 4.5 out of 5 stars
15 reviews
Beginner · Course · 1 - 4 Weeks
University of Virginia
Mercadeo analítico
Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Customer Analysis, Data-Driven Decision-Making, Marketing Strategies, Customer Insights, Brand Management, Strategic Marketing, Regression Analysis, Analytics, Customer Retention, Return On Investment, Statistical Analysis, A/B Testing, Advertising
Beginner · Course · 1 - 3 Months
Packt
Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau
Skills you'll gain: Power BI, Data Storytelling, Dashboard, Alteryx, Data Analysis Expressions (DAX), Pivot Tables And Charts, R Programming, Microsoft Excel, Data Visualization Software, Statistical Programming, Tableau Software, Data Transformation, Interactive Data Visualization, Business Reporting, Excel Formulas, Automation, Python Programming, Programming Principles, Scripting, Debugging
Intermediate · Specialization · 3 - 6 Months
Johns Hopkins University
Neuroscience Methods
Skills you'll gain: Research Design, Research Methodologies, Research, Statistical Analysis, Data Collection, Data Analysis Software, Psychology, Image Analysis, Systems Of Measurement, Data Visualization Software, Statistical Hypothesis Testing, Anatomy
Intermediate · Course · 1 - 3 Months
University of Michigan
Decoding AI: A Deep Dive into AI Models and Predictions
Skills you'll gain: Generative AI, Data Ethics, Data Analysis, Data-Driven Decision-Making, Artificial Intelligence, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Predictive Modeling, Machine Learning, ChatGPT
4.8
Rating, 4.8 out of 5 stars
10 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Time Series Data Visualization And Analysis Techniques
Skills you'll gain: Time Series Analysis and Forecasting, Data Visualization Software, Statistical Visualization, Plot (Graphics), Box Plots, Anomaly Detection, Heat Maps, Data Analysis, Spatial Data Analysis, Exploratory Data Analysis, Data Processing
4.4
Rating, 4.4 out of 5 stars
16 reviews
Intermediate · Guided Project · Less Than 2 Hours
Coursera Project Network
Transforming Data in R
Skills you'll gain: Data Manipulation, Data Transformation, Pivot Tables And Charts, Data Cleansing, Data Integration, R Programming, Data Quality
4.5
Rating, 4.5 out of 5 stars
23 reviews
Intermediate · Guided Project · Less Than 2 Hours
Technical University of Munich (TUM)
From Zero to Hero - Digital Product Development From Scratch
Skills you'll gain: MLOps (Machine Learning Operations), Product Development, User Experience Design, User Research, Human Centered Design, New Product Development, Design Thinking, Agile Product Development, Generative AI, AWS SageMaker, Product Management, Innovation, Machine Learning, Prototyping, Market Research
4.6
Rating, 4.6 out of 5 stars
36 reviews
Beginner · Course · 1 - 3 Months
University of Houston
Value-Based Care: Organizational Competencies
Skills you'll gain: Organizational Change, Care Coordination, Health Care Administration, Health Care, Health Systems, Business Transformation, Change Management, Governance, Payment Systems, Performance Measurement, Operational Efficiency, Financial Modeling, Contract Negotiation, Finance
4.7
Rating, 4.7 out of 5 stars
19 reviews
Beginner · Course · 1 - 4 Weeks