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
LearnQuest
AI 알고리즘 모델과 한계점
Skills you'll gain: Predictive Modeling, Predictive Analytics, Machine Learning, Algorithms, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, Decision Making, Business Ethics, Ethical Standards And Conduct, Big Data
4.3
Rating, 4.3 out of 5 stars
14 reviews
Beginner · Course · 1 - 4 Weeks
Packt
Python for Finance: Investment Fundamentals & Data Analytics
Skills you'll gain: Portfolio Management, Financial Modeling, Regression Analysis, Financial Analysis, Investment Management, Risk Analysis, Trend Analysis, Statistical Analysis, Financial Forecasting, Object Oriented Programming (OOP), Python Programming, Data Analysis, Simulations, Programming Principles, Pandas (Python Package), NumPy, Matplotlib, Jupyter
Intermediate · Course · 3 - 6 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
Análisis exploratorio de datos con Python y Pandas
Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Data Visualization, Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Manipulation, Data Cleansing, Descriptive Statistics, Python Programming
4.3
Rating, 4.3 out of 5 stars
14 reviews
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
K-Means Clustering 101: World Happiness Report
Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Machine Learning, Social Sciences, Socioeconomics, Scatter Plots, Economics, Policy, and Social Studies, Data Visualization Software, Exploratory Data Analysis, Data Analysis
4.7
Rating, 4.7 out of 5 stars
18 reviews
Beginner · Guided Project · Less Than 2 Hours
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
Fundação Instituto de Administração
Análise de Dados Quantitativos
Skills you'll gain: Quantitative Research, Marketing Analytics, Market Analysis, Market Research, Exploratory Data Analysis, Strategic Marketing, Forecasting, Data Analysis, Predictive Modeling, Time Series Analysis and Forecasting, Customer Analysis, Statistical Modeling, Statistical Analysis, Statistical Methods, Correlation Analysis, Regression Analysis, Unsupervised Learning, Variance Analysis
4.4
Rating, 4.4 out of 5 stars
22 reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Ein Crashkurs in Datenwissenschaft
Skills you'll gain: Data Science, Data Management, Data Modeling, Organizational Effectiveness, Data-Driven Decision-Making, Data Analysis, Project Design, Software Engineering, Machine Learning, Predictive Modeling, Statistical Inference, Presentations
Mixed · Course · 1 - 4 Weeks
University of Michigan
Design Strategies for Maximizing Total Data Quality
Skills you'll gain: Data Quality, Data Validation, Quality Assurance, Data Collection, Data Processing, Data Strategy, Survey Creation, Data Analysis, Data Access, Sampling (Statistics)
5
Rating, 5 out of 5 stars
6 reviews
Beginner · Course · 1 - 4 Weeks
Yonsei University
Valuation and Financial Analysis For Startups Capstone
Skills you'll gain: Capital Budgeting, Financial Statement Analysis, Business Valuation, Strategic Decision-Making, Financial Analysis, Entrepreneurial Finance, Financial Management, Financial Modeling, Market Analysis, Competitive Analysis, Cash Flow Forecasting, Business Research, Business Analysis
4.2
Rating, 4.2 out of 5 stars
6 reviews
Beginner · Course · 1 - 3 Months
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
Coursera Project Network
Interpretable Machine Learning Applications: Part 4
Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Analysis, Data Import/Export, Google Cloud Platform, Jupyter, Decision Tree Learning, Data Processing, Machine Learning, Random Forest Algorithm, Interactive Data Visualization, Data Visualization
4.7
Rating, 4.7 out of 5 stars
13 reviews
Intermediate · Guided Project · Less Than 2 Hours