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

University of London
Machine Learning for All
Skills you'll gain: Applied Machine Learning, Feature Engineering, Machine Learning, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Data Collection, Development Testing
4.7
Rating, 4.7 out of 5 stars
3.5K reviews
Beginner · Course · 1 - 4 Weeks
PwC
Problem Solving with Excel
Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Spreadsheet Software, Data Analysis Expressions (DAX), Data Validation, Complex Problem Solving, Statistical Analysis, Financial Analysis
4.7
Rating, 4.7 out of 5 stars
5.4K reviews
Beginner · Course · 1 - 4 Weeks
Duke University
Java Programming: Solving Problems with Software
Skills you'll gain: Debugging, Java, Algorithms, Program Development, Programming Principles, Statistical Analysis, Software Design, Computer Programming, Integrated Development Environments, Data Processing, Data Manipulation, Object Oriented Programming (OOP), Data Analysis, Development Environment
4.6
Rating, 4.6 out of 5 stars
8K reviews
Beginner · Course · 1 - 3 Months
Macquarie University
Excel Skills for Business: Advanced
Skills you'll gain: Dashboard, Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Analysis Expressions (DAX), Data Cleansing, Business Intelligence, Data Validation, Financial Modeling, Productivity Software, Financial Analysis, Automation, Data Management
4.7
Rating, 4.7 out of 5 stars
6K reviews
Intermediate · Course · 1 - 3 Months
DeepLearning.AI
Natural Language Processing in TensorFlow
Skills you'll gain: Tensorflow, Natural Language Processing, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Text Mining, Applied Machine Learning, Machine Learning, Data Processing
4.6
Rating, 4.6 out of 5 stars
6.5K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
University of Cape Town
Doing Clinical Research: Biostatistics with the Wolfram Language
Skills you'll gain: Descriptive Statistics, Plot (Graphics), Statistical Analysis, Statistical Programming, Biostatistics, Statistical Hypothesis Testing, Data Analysis, Quantitative Research, Data Visualization Software, Probability & Statistics, Deep Learning, Machine Learning
4.7
Rating, 4.7 out of 5 stars
49 reviews
Beginner · Course · 1 - 4 Weeks
IBM
Applied Data Science with R
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Shiny (R Package), Data Wrangling, Dashboard, Exploratory Data Analysis, Statistical Visualization, Relational Databases, Data Analysis, Ggplot2, Database Design, Data Presentation, SQL, Plot (Graphics), Leaflet (Software), Database Management, Data Manipulation, R Programming, Web Scraping
4.5
Rating, 4.5 out of 5 stars
1.2K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
Erasmus University Rotterdam
Advanced Valuation and Strategy - M&A, Private Equity, and Venture Capital
Skills you'll gain: Strategic Decision-Making, Business Valuation, Private Equity, Mergers & Acquisitions, Game Theory, Corporate Strategy, Financial Analysis, Business Strategy, Investment Banking, Financial Modeling, Cash Flows, Growth Strategies, Corporate Finance
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
1.3K reviews
Advanced · Course · 1 - 3 Months
Imperial College London
Mathematics for Machine Learning: Multivariate Calculus
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives
4.7
Rating, 4.7 out of 5 stars
5.7K reviews
Beginner · Course · 1 - 3 Months
SAS
SAS Programmer
Skills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Data Analysis, Data Transformation, Exploratory Data Analysis, Data Validation, Data Cleansing, Descriptive Statistics, Statistical Programming, Data Processing, Data Integration, SQL, Data Presentation, Debugging
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
3.5K reviews
Beginner · Professional Certificate · 3 - 6 Months
DeepLearning.AI
TensorFlow: Advanced Techniques
Skills you'll gain: Generative AI, Tensorflow, Computer Vision, Image Analysis, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Distributed Computing, Unsupervised Learning, Network Model, Scalability, Visualization (Computer Graphics), Network Architecture, Performance Tuning, Machine Learning
4.8
Rating, 4.8 out of 5 stars
1.7K reviews
Intermediate · Specialization · 3 - 6 Months
Johns Hopkins University
Data – What It Is, What We Can Do With It
Skills you'll gain: Data Visualization, Data Analysis, Research Design, Data Presentation, Descriptive Statistics, Analytics, Statistics, Statistical Analysis, Quantitative Research, Statistical Methods
4.6
Rating, 4.6 out of 5 stars
172 reviews
Beginner · Course · 1 - 4 Weeks