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

IBM
Statistical Analysis Fundamentals using Excel
Skills you'll gain: Descriptive Statistics, Regression Analysis, Forecasting, Business Analytics, Data Analysis, Statistical Analysis, Microsoft Excel, Statistics, Spreadsheet Software, Predictive Analytics, Probability
4.6
Rating, 4.6 out of 5 stars
89 reviews
Intermediate · Course · 1 - 3 Months
IBM
NoSQL, Big Data, and Spark Foundations
Skills you'll gain: NoSQL, Apache Hadoop, Apache Spark, MongoDB, PySpark, Machine Learning Methods, Apache Hive, Databases, Machine Learning Algorithms, Apache Cassandra, Big Data, Machine Learning, Generative AI, IBM Cloud, Applied Machine Learning, Kubernetes, Supervised Learning, Distributed Computing, Docker (Software), Database Management
4.5
Rating, 4.5 out of 5 stars
752 reviews
Beginner · Specialization · 3 - 6 Months
IESE Business School
Corporate Finance Essentials
Skills you'll gain: Corporate Finance, Finance, Capital Budgeting, Financial Modeling, Financial Analysis, Financial Market, Return On Investment, Investments, Business Valuation, Portfolio Management, Risk Analysis
4.8
Rating, 4.8 out of 5 stars
2.5K reviews
Beginner · Course · 1 - 3 Months
University of Amsterdam
Quantitative Methods
Skills you'll gain: Scientific Methods, Research Design, Sampling (Statistics), Science and Research, Research Methodologies, Quantitative Research, Data Collection, Social Sciences, Survey Creation, Experimentation, Ethical Standards And Conduct
4.7
Rating, 4.7 out of 5 stars
2.3K reviews
Mixed · Course · 1 - 3 Months
ESSEC Business School
Strategic Business Analytics
Skills you'll gain: Marketing Analytics, Business Analytics, Forecasting, Peer Review, Statistical Methods, Data Presentation, Predictive Analytics, R Programming, Customer Analysis, Information Technology, Digital Transformation, Advanced Analytics, Statistical Analysis, Communication, Market Research, Complex Problem Solving, Analytics, Business Analysis, Data Analysis, Value Propositions
4.4
Rating, 4.4 out of 5 stars
1.3K reviews
Advanced · Specialization · 3 - 6 Months
Status: New
Status: AI skills
DeepLearning.AI
DeepLearning.AI Data Analytics
Skills you'll gain: Data Storytelling, Google Sheets, Data Visualization, Data Presentation, Web Scraping, Spreadsheet Software, Dashboard, Pandas (Python Package), Interactive Data Visualization, Tableau Software, Time Series Analysis and Forecasting, Probability & Statistics, Statistical Analysis, Statistics, Matplotlib, Statistical Hypothesis Testing, Data Visualization Software, SQL, Data Manipulation, JSON
4.7
Rating, 4.7 out of 5 stars
54 reviews
Beginner · Professional Certificate · 3 - 6 Months
DeepLearning.AI
Calculus for Machine Learning and Data Science
Skills you'll gain: Applied Mathematics, Calculus, NumPy, Machine Learning, Jupyter, Python Programming, Artificial Neural Networks, Visualization (Computer Graphics), Deep Learning, Derivatives
4.8
Rating, 4.8 out of 5 stars
839 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Eindhoven University of Technology
Improving Your Statistical Questions
Skills you'll gain: Scientific Methods, Research Design, Research, Quantitative Research, Research Methodologies, General Science and Research, Experimentation, Statistical Reporting, Sample Size Determination, Statistical Inference, Statistical Methods, Statistical Analysis, Data Integrity, Probability & Statistics
4.9
Rating, 4.9 out of 5 stars
111 reviews
Intermediate · Course · 1 - 3 Months
DeepLearning.AI
Build Basic Generative Adversarial Networks (GANs)
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Data Ethics, Computer Graphics, Machine Learning
4.7
Rating, 4.7 out of 5 stars
2K reviews
Intermediate · Course · 1 - 4 Weeks
University of Toronto
Plant Bioinformatic Methods
Skills you'll gain: Bioinformatics, Network Analysis, Data Mining, Exploratory Data Analysis, Statistical Analysis, Data Analysis, Data Synthesis, Big Data, Data Visualization Software, Technical Communication, Scientific Visualization, Life Sciences, Science and Research, Taxonomy, Databases, Data Collection
4.7
Rating, 4.7 out of 5 stars
2.1K reviews
Beginner · Specialization · 3 - 6 Months
SAS
Getting Started with SAS Programming
Skills you'll gain: SAS (Software), Data Import/Export, Data Validation, Data Access, Data Manipulation, Data Cleansing, Exploratory Data Analysis, Data Analysis, SQL, Data Presentation, Microsoft Excel, Descriptive Statistics
4.8
Rating, 4.8 out of 5 stars
3.1K reviews
Beginner · Course · 1 - 3 Months
Columbia University
Financial Engineering and Risk Management
Skills you'll gain: Portfolio Management, Derivatives, Financial Market, Securities (Finance), Investment Management, Asset Management, Credit Risk, Mortgage Loans, Mathematical Modeling, Applied Mathematics, Capital Markets, Financial Modeling, Securities Trading, Regression Analysis, Market Liquidity, Futures Exchange, Risk Management, Equities, Finance, Market Data
4.6
Rating, 4.6 out of 5 stars
368 reviews
Intermediate · Specialization · 3 - 6 Months