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 .

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Explore the Statistical Inference Course Catalog

Status: New
Packt
Machine Learning – Modern Computer Vision & Generative AI
Skills you'll gain: Generative AI, Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Deep Learning, Tensorflow, Machine Learning, Python Programming, Jupyter, Development Environment, NumPy, Software Installation
Intermediate · Course · 1 - 3 Months
Codio
Data Analysis in Python
Skills you'll gain: Matplotlib, Statistical Hypothesis Testing, Data Analysis, Data Import/Export, Data Visualization, Data Cleansing, Probability & Statistics, Data Manipulation, Statistics, Descriptive Statistics, Pandas (Python Package), Exploratory Data Analysis, Data Science, Python Programming, Computational Logic
Mixed · Course · 1 - 3 Months
Status: New
Universidades Anáhuac
Ciencia de Datos e IA : De los Fundamentos a la Práctica
Skills you'll gain: Predictive Modeling, Data Cleansing, Time Series Analysis and Forecasting, Database Management, Artificial Neural Networks, SQL, Predictive Analytics, Databases, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Statistical Modeling, Data Modeling, Data Visualization Software, Forecasting, Pandas (Python Package), Data Science, Supervised Learning, Image Analysis
Intermediate · Specialization · 1 - 3 Months
Packt
Recommender Systems: An Applied Approach using Deep Learning
Skills you'll gain: Deep Learning, Data Analysis, Data Processing, Tensorflow, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning
Intermediate · Course · 1 - 4 Weeks
H2O.ai
H2O Driverless AI Starter Course
Skills you'll gain: Data Processing, Predictive Modeling, Feature Engineering, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Data Manipulation, Exploratory Data Analysis, Data Analysis, Machine Learning, Supervised Learning, Interactive Data Visualization, Data Import/Export
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Nouvelles approches pour mesurer la santé de la population
Skills you'll gain: Survey Creation, Epidemiology, Data Collection, Public Health, Health Equity, Health Policy, Sampling (Statistics), Health Informatics, Health Disparities, Health Information Management, Data Integration, Continuous Monitoring
Beginner · Course · 1 - 4 Weeks
Status: Free
Johns Hopkins University
Exploring Algorithmic Bias as a Policy Issue: A Teach-Out
Skills you'll gain: Algorithms, Policy Analysis, Social Justice, Public Policies, Artificial Intelligence, Data Ethics, Diversity Equity and Inclusion Initiatives, Machine Learning, Mitigation
Mixed · Course · 1 - 3 Months
Google Cloud
Introduction to AI and Machine Learning on GC - 繁體中文
Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Cloud Development, MLOps (Machine Learning Operations), Machine Learning, Natural Language Processing, Predictive Modeling
Beginner · Course · 1 - 3 Months
Northeastern University
Designing Engaging Dashboards for Healthcare Analytics
Skills you'll gain: Data Storytelling, Dashboard, Data Visualization, Data Presentation, Interactive Data Visualization, Infographics, Data Literacy, Tableau Software, Data Visualization Software, Presentations, Statistical Visualization, Storytelling, Design Elements And Principles, Key Performance Indicators (KPIs), Stakeholder Communications
Mixed · Course · 1 - 4 Weeks
Status: Free
Amazon Web Services
AWS Elemental Statmux
Skills you'll gain: Live Streaming, Amazon Web Services, Digital Communications, Telecommunications, Real Time Data
Beginner · Course · 1 - 4 Weeks
Status: Free
Johns Hopkins University
تحليل البيانات الاستكشافية
Skills you'll gain: Exploratory Data Analysis, R Programming, Ggplot2, Statistical Methods, Data Analysis, Statistical Analysis, Unsupervised Learning, Histogram, Dimensionality Reduction, Heat Maps, Color Theory
Mixed · Course · 1 - 4 Weeks
Status: New
Packt
Mastering Machine Learning Algorithms using Python
Skills you'll gain: Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Deep Learning, Random Forest Algorithm, Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, Data Processing, Predictive Modeling, NumPy, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Machine Learning Algorithms, Machine Learning, Regression Analysis
Intermediate · Specialization · 3 - 6 Months

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

Machine Learning – Modern Computer Vision & Generative AI: Packt
Data Analysis in Python: Codio
Ciencia de Datos e IA : De los Fundamentos a la Práctica: Universidades Anáhuac
Recommender Systems: An Applied Approach using Deep Learning: Packt
H2O Driverless AI Starter Course: H2O.ai
Nouvelles approches pour mesurer la santé de la population: Johns Hopkins University
Exploring Algorithmic Bias as a Policy Issue: A Teach-Out: Johns Hopkins University
Introduction to AI and Machine Learning on GC - 繁體中文: Google Cloud
Designing Engaging Dashboards for Healthcare Analytics: Northeastern University
AWS Elemental Statmux: Amazon Web Services

Statistical Inference Courses Online