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: Free
Coursera Project Network
Tidymodels in R: Building tidy machine learning models
Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Data Visualization Software, Exploratory Data Analysis, Data Manipulation, Predictive Modeling, R Programming, Data Cleansing, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning
Intermediate · Guided Project · Less Than 2 Hours
Johns Hopkins University
Training AI with Humans
Skills you'll gain: Machine Learning, Applied Machine Learning, Supervised Learning, Data Ethics, Research Design, Human Machine Interfaces, Data Collection, Artificial Intelligence, Experimentation, Performance Tuning, Data Quality, Performance Testing, Statistical Methods
Intermediate · Course · 1 - 3 Months
University of Glasgow
Capstone Assignment - CDSS 5
Skills you'll gain: Data Mining, Deep Learning, Clinical Data Management, Applied Machine Learning, Machine Learning, Medical Records, Artificial Intelligence, Data Manipulation, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks
DeepLearning.AI
Python for Data Analytics
Skills you'll gain: Time Series Analysis and Forecasting, Descriptive Statistics, Statistical Inference, Pandas (Python Package), Data Visualization Software, Data Analysis, Data Manipulation, Jupyter, Exploratory Data Analysis, Probability & Statistics, Scatter Plots, Python Programming, Statistical Analysis, Programming Principles, Matplotlib, Seaborn, Forecasting, Regression Analysis
Beginner · Course · 1 - 3 Months
Status: Free
Johns Hopkins University
Mathematics and Democracy Teach Out
Skills you'll gain: Game Theory, Mathematical Modeling, Political Sciences, Policy Analysis, Social Sciences, Probability, Economics, Policy, and Social Studies, Applied Mathematics, Statistical Methods
Beginner · Course · 1 - 4 Weeks
Google Cloud
Innovating with Data and Google Cloud בעברית
Skills you'll gain: Digital Transformation, Google Cloud Platform, Big Data, Looker (Software), Cloud Computing, Customer Insights, Machine Learning, Data Management, Data Lakes, Unstructured Data, Data Quality, Innovation, Business Intelligence, Data-Driven Decision-Making, Artificial Intelligence
Beginner · Course · 1 - 3 Months
Northeastern University
Practical AI for Professionals
Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Business Strategy, Business Solutions, Machine Learning, Data Management, Computer Vision, Unstructured Data, Predictive Modeling, Deep Learning, Natural Language Processing
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Introduction to Neural Networks
Skills you'll gain: Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Network Model, Network Architecture, Linear Algebra, Probability & Statistics
Intermediate · Course · 1 - 3 Months
Google Cloud
Serverless Machine Learning with Tensorflow on Google Cloud auf Deutsch
Skills you'll gain: Tensorflow, Applied Machine Learning, Feature Engineering, MLOps (Machine Learning Operations), Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Scalability, Data Processing, Machine Learning, Deep Learning, Serverless Computing, Predictive Modeling
Intermediate · Course · 1 - 3 Months
Status: Free
University of Illinois Urbana-Champaign
Machine Learning and Human Learning
Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Analytics, Data Mining, Mobile Development, Human Computer Interaction, Natural Language Processing
Beginner · Course · 1 - 4 Weeks
DeepLearning.AI
컨볼루션 신경망
Skills you'll gain: Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Network Architecture, Machine Learning, Algorithms
Intermediate · Course · 1 - 4 Weeks
University of Colorado System
Machine Learning for Marketers
Skills you'll gain: Classification And Regression Tree (CART), Marketing Analytics, Unsupervised Learning, Customer Analysis, Predictive Analytics, Applied Machine Learning, Advanced Analytics, Supervised Learning, Dimensionality Reduction, Predictive Modeling, Marketing Strategies, Data-Driven Decision-Making, Strategic Marketing, Personalized Service, Customer Insights, Machine Learning, Consumer Behaviour, Regression Analysis
Intermediate · Course · 1 - 4 Weeks