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: New
Edureka
Applied Data Analytics
Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Visualization, Exploratory Data Analysis, Matplotlib, Data Visualization Software, Web Scraping, Probability Distribution, Predictive Modeling, Seaborn, Statistical Visualization, SQL, Plotly, Interactive Data Visualization, Statistical Inference, Pandas (Python Package), Database Management, Data Analysis, Data Presentation, Databases
3.9
Rating, 3.9 out of 5 stars
7 reviews
Intermediate · Specialization · 3 - 6 Months
Kennesaw State University
The Control Phase for the 6 σ Black Belt
Skills you'll gain: Statistical Process Controls, Lean Six Sigma, Six Sigma Methodology, Lean Manufacturing, Process Improvement, Process Capability, Quality Improvement, Continuous Improvement Process, Process Analysis, Variance Analysis, Facility Repair And Maintenance, Document Management, Training Programs
4.4
Rating, 4.4 out of 5 stars
29 reviews
Mixed · Course · 1 - 3 Months
DeepLearning.AI
Нейронные сети и глубокое обучение
Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Machine Learning, Python Programming, Network Architecture, NumPy
3.9
Rating, 3.9 out of 5 stars
13 reviews
Intermediate · Course · 1 - 4 Weeks
University of Minnesota
Matrix Factorization and Advanced Techniques
Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Linear Algebra
4.3
Rating, 4.3 out of 5 stars
186 reviews
Mixed · Course · 1 - 3 Months
Illinois Tech
Deep Learning
Skills you'll gain: Deep Learning, Generative AI, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Tensorflow, Computer Vision, Natural Language Processing, Machine Learning
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
20 reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Calculating Descriptive Statistics in R
Skills you'll gain: Descriptive Statistics, Data Analysis, Box Plots, R Programming, Statistical Analysis, Histogram, Probability & Statistics, Data Manipulation
4.8
Rating, 4.8 out of 5 stars
52 reviews
Beginner · Guided Project · Less Than 2 Hours
SAS
Advanced SAS Programming Techniques
Skills you'll gain: SAS (Software), Perl (Programming Language), Data Processing, Statistical Programming, Data Manipulation, Data Structures, Data Transformation, Data Analysis
4.8
Rating, 4.8 out of 5 stars
94 reviews
Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Health Data Science Foundation
Skills you'll gain: Health Informatics, Deep Learning, Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Unsupervised Learning, Program Development, Predictive Modeling
3
Rating, 3 out of 5 stars
28 reviews
Advanced · Course · 1 - 4 Weeks
Status: Free
Erasmus University Rotterdam
Necessary Condition Analysis (NCA)
Skills you'll gain: Data Analysis, Statistical Reporting, Quantitative Research, Statistical Analysis, Statistical Software, Small Data, Qualitative Research, R Programming, Sampling (Statistics), Technical Communication, Research Methodologies, Scatter Plots, Statistical Hypothesis Testing
4.9
Rating, 4.9 out of 5 stars
28 reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Data Science Challenge
Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics
4.7
Rating, 4.7 out of 5 stars
161 reviews
Intermediate · Guided Project · Less Than 2 Hours
University of California, Irvine
Database Design and Operational Business Intelligence
Skills you'll gain: Extract, Transform, Load, Decision Support Systems, Data Warehousing, Data Mining, Database Design, Business Intelligence, Dashboard, Star Schema, Relational Databases, Database Management, Data Visualization Software, Snowflake Schema, Business Reporting, Database Management Systems, SAS (Software), Data Modeling, Interactive Data Visualization, SQL, Data Mart, Data Storytelling
4.5
Rating, 4.5 out of 5 stars
226 reviews
Beginner · Specialization · 1 - 3 Months
Erasmus University Rotterdam
Multilevel Modeling
Skills you'll gain: R Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Statistical Analysis, Advanced Analytics, Data Modeling
3.9
Rating, 3.9 out of 5 stars
15 reviews
Intermediate · Course · 1 - 4 Weeks