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

Results for "statistical inference"

University of California San Diego
Applied Bioinformatics
Skills you'll gain: Bioinformatics, Laboratory Testing, Molecular Biology, Infectious Diseases, Network Analysis, Medical Science and Research, Computational Thinking, Biochemistry, Data Mining, Life Sciences, Scientific Visualization, Microbiology, Science and Research, Biology, Data Analysis Software, Pharmacology
4.4
Rating, 4.4 out of 5 stars
63 reviews
Beginner · Specialization · 1 - 3 Months
Status: Free
Coursera Project Network
Compare Stock Returns with Google Sheets
Skills you'll gain: Risk Analysis, Google Sheets, Financial Analysis, Quantitative Research, Spreadsheet Software, Statistical Analysis, Statistics, Securities (Finance), Probability & Statistics
4.3
Rating, 4.3 out of 5 stars
664 reviews
Beginner · Guided Project · Less Than 2 Hours
University of Colorado Boulder
Predictive Modeling and Analytics
Skills you'll gain: Predictive Analytics, Data Visualization, Data Modeling, Business Analytics, Data Analysis, Statistical Modeling, Data-Driven Decision-Making, Regression Analysis, Machine Learning Methods, Supervised Learning, Decision Tree Learning, Data Cleansing, Artificial Neural Networks
3.6
Rating, 3.6 out of 5 stars
601 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Advanced R Programming
Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Programming Principles, Data Manipulation, Data Structures, Software Design Patterns, Performance Tuning
4.2
Rating, 4.2 out of 5 stars
574 reviews
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Precalculus: Relations and Functions
Skills you'll gain: Graphing, Data Analysis, R Programming, General Mathematics, Mathematical Modeling, Algebra, Applied Mathematics, Calculus
4.7
Rating, 4.7 out of 5 stars
213 reviews
Beginner · Course · 1 - 4 Weeks
University of Houston
Math behind Moneyball
Skills you'll gain: Probability & Statistics, Statistical Methods, Statistics, Microsoft Excel, Predictive Analytics, Game Theory, Spreadsheet Software, Predictive Modeling, Excel Formulas, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Advanced Analytics, Data-Driven Decision-Making, Data Analysis, Analytics, Data Analysis Software, Business Mathematics, Simulations, Forecasting
4.5
Rating, 4.5 out of 5 stars
97 reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Introduction to Machine Learning: Supervised Learning
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning
Build toward a degree
3.4
Rating, 3.4 out of 5 stars
75 reviews
Intermediate · Course · 1 - 3 Months
New York Institute of Finance
Reinforcement Learning for Trading Strategies
Skills you'll gain: Reinforcement Learning, Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Markov Model, Machine Learning, Financial Market, Time Series Analysis and Forecasting
3.5
Rating, 3.5 out of 5 stars
239 reviews
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
Essential Linear Algebra for Data Science
Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra
4.4
Rating, 4.4 out of 5 stars
172 reviews
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Exploratory Data Analysis With Python and Pandas
Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Statistical Analysis
4.5
Rating, 4.5 out of 5 stars
435 reviews
Beginner · Guided Project · Less Than 2 Hours
CertNexus
CertNexus Certified Data Science Practitioner
Skills you'll gain: Extract, Transform, Load, Data Analysis, Jupyter, Data Visualization, Unsupervised Learning, Applied Machine Learning, Statistical Analysis, Exploratory Data Analysis, Machine Learning, Analytical Skills, Data Manipulation, Data Cleansing, Data Processing, Stakeholder Engagement, Project Scoping, Data Presentation, Business Priorities, Classification And Regression Tree (CART), Stakeholder Management, Business Analytics
4.6
Rating, 4.6 out of 5 stars
70 reviews
Intermediate · Professional Certificate · 3 - 6 Months
University of California San Diego
Python Data Products for Predictive Analytics
Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Data Processing, Data Manipulation, Applied Machine Learning, Interactive Data Visualization, Design Thinking, Advanced Analytics, Web Scraping, Machine Learning Algorithms, Flask (Web Framework), Data Visualization Software, Scikit Learn (Machine Learning Library), Application Deployment, Data Science, Data Validation, Verification And Validation, Django (Web Framework), Regression Analysis
4.2
Rating, 4.2 out of 5 stars
245 reviews
Intermediate · Specialization · 3 - 6 Months