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

SAS
Data Literacy in Practice
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Statistical Visualization, Data Analysis, Data Cleansing, Data Manipulation, Technical Communication, Correlation Analysis
5
Rating, 5 out of 5 stars
6 reviews
Beginner · Course · 1 - 4 Weeks
Packt
Python for Finance: Investment Fundamentals & Data Analytics
Skills you'll gain: Portfolio Management, Financial Modeling, Regression Analysis, Financial Analysis, Investment Management, Risk Analysis, Trend Analysis, Statistical Analysis, Financial Forecasting, Object Oriented Programming (OOP), Python Programming, Data Analysis, Simulations, Programming Principles, Pandas (Python Package), NumPy, Matplotlib, Jupyter
Intermediate · Course · 3 - 6 Months
Packt
Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau
Skills you'll gain: Power BI, Data Storytelling, Dashboard, Alteryx, Data Analysis Expressions (DAX), Pivot Tables And Charts, R Programming, Microsoft Excel, Data Visualization Software, Statistical Programming, Tableau Software, Data Transformation, Interactive Data Visualization, Business Reporting, Excel Formulas, Automation, Python Programming, Programming Principles, Scripting, Debugging
Intermediate · Specialization · 3 - 6 Months
CertNexus
Train Machine Learning Models
Skills you'll gain: Jupyter, Unsupervised Learning, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Regression Analysis, Machine Learning, Supervised Learning, Data Modeling, Machine Learning Algorithms, Feature Engineering, Test Case, Performance Tuning, Statistical Hypothesis Testing, Performance Metric
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Neuroscience Methods
Skills you'll gain: Research Design, Research Methodologies, Research, Statistical Analysis, Data Collection, Data Analysis Software, Psychology, Image Analysis, Systems Of Measurement, Data Visualization Software, Statistical Hypothesis Testing, Anatomy
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Practical Data Wrangling with Pandas
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Pandas (Python Package), Data Visualization, Descriptive Statistics, Data Manipulation, Data Transformation, Data Analysis, Statistics
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
Análisis exploratorio de datos con Python y Pandas
Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Data Visualization, Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Manipulation, Data Cleansing, Descriptive Statistics, Python Programming
4.3
Rating, 4.3 out of 5 stars
14 reviews
Beginner · Guided Project · Less Than 2 Hours
American Psychological Association
Chi-Square Tests of Hypotheses About Frequency Tables
Skills you'll gain: Statistical Hypothesis Testing, Quantitative Research, Statistical Software, Statistical Analysis, Data Analysis, Probability & Statistics, Statistical Methods, Statistical Inference, Statistics, Psychology
Beginner · Course · 1 - 3 Months
Coursera Project Network
K-Means Clustering 101: World Happiness Report
Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Machine Learning, Social Sciences, Socioeconomics, Scatter Plots, Economics, Policy, and Social Studies, Data Visualization Software, Exploratory Data Analysis, Data Analysis
4.7
Rating, 4.7 out of 5 stars
18 reviews
Beginner · Guided Project · Less Than 2 Hours
Fundação Instituto de Administração
Pesquisa de Mercado e Estratégia de Marketing
Skills you'll gain: Quantitative Research, Qualitative Research, Marketing Analytics, Market Analysis, Market Research, Survey Creation, Exploratory Data Analysis, Marketing Strategies, Sampling (Statistics), Strategic Marketing, Marketing Management, Data Collection, Market Intelligence, Business Research, Forecasting, Data Analysis, Predictive Modeling, Analysis, Data-Driven Decision-Making, Customer Insights
4.6
Rating, 4.6 out of 5 stars
35 reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
Foundational Mathematics for AI
Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Probability & Statistics, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra
Beginner · Course · 1 - 3 Months
Edureka
Generative AI Foundations
Skills you'll gain: Generative AI, ChatGPT, Data Ethics, Deep Learning, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence, Python Programming, Unsupervised Learning, Machine Learning
4
Rating, 4 out of 5 stars
10 reviews
Beginner · Course · 1 - 4 Weeks