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

Google Cloud
Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro
Skills you'll gain: Google Cloud Platform, Tensorflow, MLOps (Machine Learning Operations), Unstructured Data, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, SQL, Deep Learning, Jupyter, Predictive Modeling, Natural Language Processing
4.7
Rating, 4.7 out of 5 stars
11 reviews
Intermediate · Course · 1 - 3 Months
Yunus Social Business Fund Bengaluru
Risk, Return and Valuation
Skills you'll gain: Business Valuation, Return On Investment, Financial Analysis, Business Risk Management, Capital Budgeting, Risk Analysis, Environmental Social And Corporate Governance (ESG), Financial Modeling, Portfolio Management, Corporate Finance, Cash Flows, Investments, Correlation Analysis, Probability & Statistics
Beginner · Course · 1 - 3 Months
Status: Free
Duke University
R을 사용한 확률 및 데이터 소개
Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R Programming, Bayesian Statistics, Data Analysis, Probability, Statistical Software, Statistics, Statistical Analysis, Descriptive Statistics, Scatter Plots, Histogram, Box Plots
Beginner · Course · 1 - 3 Months
DeepLearning.AI
هيكلة مشاريع التعلم الآلي
Skills you'll gain: Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, MLOps (Machine Learning Operations), Debugging, Deep Learning, Machine Learning, Supervised Learning, Performance Tuning
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Analyze Data in Azure ML Studio
Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Data Visualization, Feature Engineering, Data Analysis, Statistics, Exploratory Data Analysis, Data Visualization Software, Correlation Analysis, Machine Learning
Beginner · Guided Project · Less Than 2 Hours
Fred Hutchinson Cancer Center
Practical Steps for Building Fair AI Algorithms
Skills you'll gain: ChatGPT, Generative AI, Data Ethics, Algorithms, Artificial Intelligence, Predictive Analytics, Machine Learning, Ethical Standards And Conduct, Diversity Awareness, Data-Driven Decision-Making, Software Documentation
Beginner · Course · 1 - 4 Weeks
Status: Free
Johns Hopkins University
R البرمجة باستخدام لغة
Skills you'll gain: R Programming, Statistical Programming, Statistical Analysis, Debugging, Data Analysis, Simulations, Programming Principles, Integrated Development Environments, Data Import/Export, Data Structures, Computer Programming, Software Installation, File Management
Intermediate · Course · 1 - 4 Weeks
Fundação Instituto de Administração
Análise de Segmentação de Mercado
Skills you'll gain: Exploratory Data Analysis, Customer Analysis, Market Analysis, Marketing Analytics, Market Research, Customer Insights, Big Data, Target Market, Data Analysis, Target Audience, R Programming, Statistical Analysis, Unsupervised Learning, Data-Driven Decision-Making, Machine Learning Algorithms, Business Strategy, Consumer Behaviour
Beginner · Course · 1 - 4 Weeks
Google Cloud
Intro to TensorFlow 日本語版
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Feature Engineering, Google Cloud Platform, Data Pipelines, Jupyter, Applied Machine Learning, Deep Learning, Machine Learning, Data Import/Export, Scalability
3.8
Rating, 3.8 out of 5 stars
12 reviews
Intermediate · Course · 1 - 3 Months
Universidad de los Andes
Introducción al deep learning contemporáneo
Skills you'll gain: Generative AI, Deep Learning, Image Analysis, Artificial Neural Networks, Computer Vision, Artificial Intelligence, Network Architecture, Natural Language Processing, Machine Learning, Time Series Analysis and Forecasting
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
8 reviews
Beginner · Course · 1 - 4 Weeks
Packt
Financial Analysis - Build a ChatGPT Pairs Trading Bot
Skills you'll gain: Financial Trading, Technical Analysis, ChatGPT, Financial Market, Artificial Intelligence, Financial Data, Python Programming, Financial Analysis, Investments, Development Environment, Machine Learning, Statistical Methods
Intermediate · Course · 1 - 3 Months
Microsoft
Voice of Change: Communicate with Teams for GenAI Adoption
Skills you'll gain: Diversity and Inclusion, Organizational Leadership, Product Strategy, Talent Management, Leadership Studies, Generative AI, Security Strategy, Business Strategy, Cross-Functional Collaboration, Artificial Intelligence, Ethical Standards And Conduct, Machine Learning, Communication Strategies
Intermediate · Course · 1 - 3 Months