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

Google Cloud
How Google does Machine Learning en Français
Skills you'll gain: Google Cloud Platform, Data Strategy, Tensorflow, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Data Ethics, Deep Learning, Big Data, Jupyter
4.3
Rating, 4.3 out of 5 stars
16 reviews
Beginner · Course · 1 - 3 Months
Fractal Analytics
Advanced Machine Learning Algorithms
Skills you'll gain: Feature Engineering, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Decision Tree Learning, Performance Tuning, Regression Analysis
3.6
Rating, 3.6 out of 5 stars
8 reviews
Beginner · Course · 1 - 3 Months
University of Michigan
파이썬의 데이터 과학 소개
Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Science, Data Analysis, Data Transformation, Python Programming, Probability & Statistics, Data Import/Export, Programming Principles
Intermediate · Course · 1 - 4 Weeks
Status: Free
Universidad de Palermo
Finanzas de Start Up y Valuación de Proyectos
Skills you'll gain: Business Modeling, Financial Analysis, Risk Analysis, Strategic Thinking, Project Finance, Cash Flow Forecasting, Sales Presentations, Business Valuation, Financial Modeling, Entrepreneurship, Business Strategies, Working Capital
4.8
Rating, 4.8 out of 5 stars
13 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Data Visualization & Storytelling in Python
Skills you'll gain: Data Storytelling, Plotly, Data Presentation, Matplotlib, Interactive Data Visualization, Seaborn, Data Visualization, Data Visualization Software, Statistical Visualization, Scatter Plots
Beginner · Guided Project · Less Than 2 Hours
The State University of New York
Player Evaluation, Team Performance and Roster Management
Skills you'll gain: Calendar Management, Performance Analysis, Analytics, Data-Driven Decision-Making, Data Analysis, Scheduling, Staff Management, Team Performance Management, Linear Algebra, Data Management, Administration, Contract Management, Business, Compensation Management, Contract Negotiation, R Programming, Strategic Decision-Making
5
Rating, 5 out of 5 stars
6 reviews
Beginner · Course · 1 - 3 Months
University of London
Data Science Project Capstone: Predicting Bicycle Rental
Skills you'll gain: Correlation Analysis, Predictive Modeling, Data Collection, Regression Analysis, Data Science, Forecasting, Data Analysis, Statistical Modeling, Time Series Analysis and Forecasting, Data-Driven Decision-Making, Exploratory Data Analysis, Feature Engineering
4.1
Rating, 4.1 out of 5 stars
7 reviews
Beginner · Course · 1 - 4 Weeks
Howard University
Business Modeling Tools
Skills you'll gain: Regression Analysis, Data-Driven Decision-Making, Business Modeling, Business Analytics, Statistical Analysis, Spreadsheet Software, Forecasting, Data Analysis, Microsoft Excel, Predictive Modeling
4.7
Rating, 4.7 out of 5 stars
6 reviews
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
Ethical Issues in AI and Professional Ethics
Skills you'll gain: Data Ethics, Diversity Awareness, Generative AI, Ethical Standards And Conduct, Cultural Diversity, Information Technology, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Social Justice, Machine Learning, Algorithms
Build toward a degree
4.3
Rating, 4.3 out of 5 stars
15 reviews
Beginner · Course · 1 - 3 Months
Fractal Analytics
Responsible AI - Principles and Ethical Considerations
Skills you'll gain: Data Ethics, Artificial Intelligence, Ethical Standards And Conduct, Information Privacy, Personally Identifiable Information, Data Governance, Data Security, Governance, Data Integrity, Data-Driven Decision-Making, Accountability, Diversity Awareness, Machine Learning, Data Analysis, Algorithms
4.4
Rating, 4.4 out of 5 stars
16 reviews
Intermediate · Course · 1 - 3 Months
Codio
Select Topics in Python: Matplotlib
Skills you'll gain: Matplotlib, Data Visualization Software, Statistical Visualization, Data Visualization, Jupyter, Interactive Data Visualization, Scatter Plots, Histogram, Box Plots, Graphing
3.4
Rating, 3.4 out of 5 stars
9 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Data Visualization using dplyr and ggplot2 in R
Skills you'll gain: Ggplot2, Plot (Graphics), Tidyverse (R Package), Data Analysis, Exploratory Data Analysis, R Programming, Data Visualization Software, Data Wrangling, Data Manipulation
4.9
Rating, 4.9 out of 5 stars
17 reviews
Intermediate · Guided Project · Less Than 2 Hours