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
University of Glasgow
Applied AI for Engineers and Scientists: Foundations
Skills you'll gain: Artificial Neural Networks, Matlab, Supervised Learning, Applied Machine Learning, Machine Learning, Data Manipulation, Data Cleansing, Artificial Intelligence, Feature Engineering, Data Transformation, Classification And Regression Tree (CART), Predictive Modeling, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Software, Programming Principles, Computer Programming, Scripting, Data Structures, Machine Learning Algorithms
Beginner · Specialization · 1 - 3 Months
Universidades Anáhuac
Ciencia de Datos Aplicada al Marketing
Skills you'll gain: Data Processing, Data Analysis, Regression Analysis, SPSS, Marketing Analytics, Market Research, Business Intelligence, Statistical Analysis, Data Mining, Data-Driven Decision-Making, Quantitative Research, Exploratory Data Analysis, Market Analysis, Marketing Strategies, Consumer Behaviour, Microsoft Excel
Beginner · Course · 1 - 3 Months
Google Cloud
Build, Train and Deploy ML Models with Keras on Google Cloud - Español
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Deep Learning, Data Transformation, Artificial Neural Networks, Machine Learning, Application Programming Interface (API)
Intermediate · Course · 1 - 3 Months
Packt
How to Visualize Data with R
Skills you'll gain: Data Visualization Software, Ggplot2, Statistical Visualization, R Programming, Scatter Plots, Regression Analysis, Data Manipulation, Statistical Modeling, Data Analysis, Data Import/Export, Exploratory Data Analysis, Development Environment, Data Structures, Software Installation
Intermediate · Course · 1 - 4 Weeks
Status: Free
Pontificia Universidad Católica de Chile
Fundamentos de sistemas recomendadores
Skills you'll gain: AI Personalization, Machine Learning Algorithms, Machine Learning Software, Machine Learning, Predictive Modeling, Statistical Machine Learning, Dimensionality Reduction, Analysis, Linear Algebra, Content Management, Text Mining
Intermediate · Course · 1 - 3 Months
SAS
Preparing for the SAS® Viya® Programming Certification Exam
Skills you'll gain: SAS (Software), Cloud Services, Data Processing, Statistical Programming, Statistical Software, Distributed Computing, Data Analysis
Advanced · Course · 1 - 4 Weeks
Status: New
University of Illinois Urbana-Champaign
Advancing Dairy Management with Artificial Intelligence
Skills you'll gain: Decision Support Systems, Data Collection, Predictive Analytics, Machine Learning, Data Management, Data Quality, Data-Driven Decision-Making, Data Analysis, Emerging Technologies, Artificial Intelligence, Internet Of Things, Computer Vision
Intermediate · Course · 1 - 4 Weeks
École Polytechnique Fédérale de Lausanne
Geographical Information Systems - Part 2
Skills you'll gain: Spatial Analysis, Spatial Data Analysis, GIS Software, Geographic Information Systems, Geospatial Mapping, Geostatistics, Interactive Data Visualization, Data Integration, Data Mapping, Augmented Reality, Sampling (Statistics)
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Introduction to Social Computing
Skills you'll gain: Data Ethics, Behavioral Economics, Analytics, Network Analysis, Game Design, Social Sciences, Sociology, Artificial Intelligence, Systems Thinking, Research, Usability, Data Collection, Machine Learning, Psychology
Intermediate · Course · 1 - 3 Months
University of Glasgow
Capstone Assignment - CDSS 5
Skills you'll gain: Data Mining, Deep Learning, Health Informatics, Applied Machine Learning, Machine Learning, Artificial Intelligence, Healthcare Ethics, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 4 Weeks
University of Colorado System
Linear Kalman Filter Deep Dive (and Target Tracking)
Skills you'll gain: Advanced Mathematics, Mathematical Modeling, Systems Of Measurement, Linear Algebra, Statistical Methods, Predictive Analytics, Predictive Modeling, Applied Mathematics, Time Series Analysis and Forecasting, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks
Indian Statistical Institute
Postgraduate Diploma in Applied Statistics
Skills you'll gain: Sampling (Statistics), Time Series Analysis and Forecasting, Sample Size Determination, Statistical Inference, Statistical Machine Learning, Statistical Analysis, NumPy, Spatial Data Analysis, Statistical Hypothesis Testing, Probability, Data Compilation, Economics, Statistical Methods, Dimensionality Reduction, Lifelong Learning, Regression Analysis, Surveys, Bayesian Statistics, Graphing, Market Data
Postgraduate Diploma · 6 - 12 Months