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

Packt
Machine Learning – Modern Computer Vision & Generative AI
Skills you'll gain: Generative AI, Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Applied Machine Learning, Deep Learning, Machine Learning, Python Programming, Computer Programming, Development Environment, Software Installation
Intermediate · Course · 1 - 3 Months
DeepLearning.AI
النماذج المتعاقبة
Skills you'll gain: Deep Learning, Natural Language Processing, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Machine Learning Methods, Network Model, Machine Learning, Time Series Analysis and Forecasting, Network Architecture, Algorithms, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks
Packt
Data Analytics and Visualization with Tableau and more
Skills you'll gain: Data Storytelling, Alteryx, Dashboard, R Programming, Data Visualization Software, Interactive Data Visualization, Statistical Programming, Tableau Software, Data Analysis, Data Manipulation, Statistical Analysis, Data Cleansing, Data Integration, Workflow Management, Data Transformation, Data Import/Export, Data Structures
Intermediate · Course · 1 - 4 Weeks
DeepLearning.AI
Modèles de séquence
Skills you'll gain: Natural Language Processing, Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence, Machine Learning, Machine Learning Algorithms, Algorithms
Intermediate · Course · 1 - 4 Weeks
University of Michigan
투자 기술의 혁신: AI
Skills you'll gain: FinTech, Investments, Wealth Management, Financial Trading, Investment Management, Asset Management, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Financial Services, Artificial Neural Networks, Machine Learning
Beginner · Course · 1 - 4 Weeks
Duke University
برمجة Java: إنشاء نظام ترشيح
Skills you'll gain: Software Design, Databases, Object Oriented Programming (OOP), User Interface (UI), Algorithms, Data Analysis, Java, Data Processing, Statistical Methods
Intermediate · Course · 1 - 3 Months
Packt
Financial Analysis with ARIMA and Time Series Forecasting
Skills you'll gain: Time Series Analysis and Forecasting, Financial Forecasting, Statistical Analysis, Trend Analysis, Financial Data, Investment Management, Predictive Modeling, Python Programming, Data Analysis, Risk Modeling, Financial Analysis, Statistical Modeling, Machine Learning
Intermediate · Course · 1 - 3 Months
Status: Free
University of Colorado Boulder
컴퓨터 비전 분야에서의 딥 러닝 응용 사례
Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Applied Machine Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Algorithms
Intermediate · Course · 1 - 3 Months
Status: Free
Google Cloud
Introduction to Image Generation - Português Brasileiro
Skills you'll gain: Generative AI, Image Analysis, Google Cloud Platform, Deep Learning, Unsupervised Learning, Machine Learning Methods, Applied Machine Learning, Machine Learning, Machine Learning Algorithms
Beginner · Course · 1 - 4 Weeks
Status: Free
University of Virginia Darden School Foundation
디지털 전환 입문과정 [파트 2]
Skills you'll gain: Digital Transformation, Performance Improvement, Business Transformation, Data Integrity, Organizational Change, Cloud Computing, Business Technologies, Technology Strategies, Internet Of Things, Emerging Technologies, Cyber Security Strategy, Machine Learning, Data Science, Artificial Intelligence
Beginner · Course · 1 - 4 Weeks
Status: Free
Google Cloud
Attention Mechanism - 繁體中文
Skills you'll gain: Artificial Neural Networks, Deep Learning, Natural Language Processing, Applied Machine Learning, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
Intermediate · Course · 1 - 4 Weeks
Whizlabs
Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs
Skills you'll gain: Generative AI, Deep Learning, Unsupervised Learning, Natural Language Processing, Time Series Analysis and Forecasting, Supervised Learning, Data Ethics, Image Analysis, Machine Learning, Text Mining, Computer Vision, Machine Learning Algorithms, Data Processing, Artificial Intelligence, Scatter Plots, Artificial Intelligence and Machine Learning (AI/ML), Data Visualization Software, Artificial Neural Networks, PyTorch (Machine Learning Library), Feature Engineering
Intermediate · Specialization · 3 - 6 Months