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

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Explore the Statistical Inference Course Catalog

Status: Free
Coursera Project Network
Анализ доходности с EVA
Skills you'll gain: Financial Statement Analysis, Financial Statements, Financial Analysis, Return On Investment, Financial Modeling, Finance, Investments
4.9
Rating, 4.9 out of 5 stars
8 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free
Coursera Instructor Network
Unlocking Business Insights through Storytelling with Data
Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization Software, Storytelling, Data Integrity, Data Analysis, Drive Engagement, Microsoft Excel, Design Elements And Principles, Statistical Analysis, Decision Making
4.8
Rating, 4.8 out of 5 stars
6 reviews
Beginner · Course · 1 - 4 Weeks
University of Virginia
تحليلات التسويق
Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Marketing Strategies, Customer Analysis, Data-Driven Decision-Making, Performance Measurement, Strategic Marketing, Brand Management, Regression Analysis, Consumer Behaviour, Return On Investment, A/B Testing, Statistical Analysis
Beginner · Course · 1 - 3 Months
Status: Free
Northeastern University
Data Visualization with Python & R for Engineers
Skills you'll gain: Data Storytelling, Statistical Visualization, Data-Driven Decision-Making, Data Visualization Software, Data Mining, Exploratory Data Analysis, Data Cleansing, Data Manipulation, Graphing, Big Data, Data Transformation, Programming Principles, Python Programming, Data Structures, Scripting
Mixed · Course · 1 - 4 Weeks
SAS
Building a Large-Scale, Automated Forecasting System
Skills you'll gain: SAS (Software), Forecasting, Time Series Analysis and Forecasting, Statistical Methods, Predictive Modeling, Automation, Anomaly Detection, Data Processing, Data Transformation, Data Manipulation, Object Oriented Programming (OOP)
Intermediate · Course · 1 - 3 Months
Google Cloud
Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro
Skills you'll gain: Google Cloud Platform, Tensorflow, MLOps (Machine Learning Operations), Unstructured Data, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, SQL, Data Pipelines, Jupyter, Predictive Modeling, Natural Language Processing
4.7
Rating, 4.7 out of 5 stars
11 reviews
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Dashboard Development with Shiny: GenAI for Retail Analysis
Skills you'll gain: Shiny (R Package), Data Visualization, Interactive Data Visualization, Dashboard, Data Presentation, Data Visualization Software, R Programming, Data Wrangling, User Interface (UI) Design, Ggplot2, Data Manipulation, Data Integration, Web Applications, Data Import/Export
Intermediate · Guided Project · Less Than 2 Hours
Coursera Project Network
ML Parameters Optimization: GridSearch, Bayesian, Random
Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Bayesian Statistics
4.9
Rating, 4.9 out of 5 stars
7 reviews
Beginner · Guided Project · Less Than 2 Hours
DeepLearning.AI
심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화
Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Statistical Analysis, Analysis, Debugging, Machine Learning, Network Architecture, Algorithms
4.6
Rating, 4.6 out of 5 stars
7 reviews
Intermediate · Course · 1 - 4 Weeks
Microsoft
Intro to Artificial Intelligence on Microsoft Azure
Skills you'll gain: Anomaly Detection, Computer Vision, Microsoft Azure, Data Ethics, Artificial Intelligence, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Azure Active Directory, Machine Learning, Generative AI, Predictive Modeling, Information Privacy
4.6
Rating, 4.6 out of 5 stars
7 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Joining Data in R using dplyr
Skills you'll gain: Data Cleansing, Data Manipulation, Data Integration, R Programming, Tidyverse (R Package), Data Transformation
Intermediate · Guided Project · Less Than 2 Hours
Status: New
Status: Free
Whizlabs
Exam Prep AIF-C01: AWS Certified AI Practitioner
Skills you'll gain: Prompt Engineering, Generative AI, MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Amazon Web Services, Large Language Modeling, AWS Identity and Access Management (IAM), Machine Learning, Cloud Security, Amazon CloudWatch, Amazon S3, Deep Learning, Natural Language Processing
Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular statistical inference courses

Анализ доходности с EVA: Coursera Project Network
Unlocking Business Insights through Storytelling with Data: Coursera Instructor Network
تحليلات التسويق: University of Virginia
Data Visualization with Python & R for Engineers: Northeastern University
Building a Large-Scale, Automated Forecasting System: SAS
Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro: Google Cloud
Dashboard Development with Shiny: GenAI for Retail Analysis: Coursera Project Network
ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera Project Network
심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화: DeepLearning.AI
Intro to Artificial Intelligence on Microsoft Azure: Microsoft

Statistical Inference Courses Online