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

Johns Hopkins University
Practical Neuromarketing Research
Skills you'll gain: Research, Research Design, Consumer Behaviour, Influencing, Ethical Standards And Conduct, Behavioral Economics, Experimentation, Qualitative Research, Data Collection, Market Research, Marketing, Data Analysis, Statistical Analysis, Cultural Sensitivity
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Data Visualization & Storytelling in Python
Skills you'll gain: Data Storytelling, Plotly, Data Presentation, Matplotlib, Interactive Data Visualization, Seaborn, Data Visualization, Data Visualization Software, Statistical Visualization, Scatter Plots
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
Naive Bayes 101: Resume Selection with Machine Learning
Skills you'll gain: Data Visualization Software, Exploratory Data Analysis, Text Mining, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Pandas (Python Package), Natural Language Processing, Machine Learning, Data Processing, Data Analysis, Machine Learning Algorithms, Python Programming
4.5
Rating, 4.5 out of 5 stars
15 reviews
Intermediate · Guided Project · Less Than 2 Hours
SAS
Building a Large-Scale, Automated Forecasting System
Skills you'll gain: SAS (Software), Forecasting, Time Series Analysis and Forecasting, Statistical Methods, Advanced Analytics, Predictive Modeling, Statistical Analysis, Feature Engineering, Automation, Anomaly Detection, Data Processing, Object Oriented Programming (OOP)
Intermediate · Course · 1 - 3 Months
Status: Free
Duke University
برمجة Java: حل المشكلات باستخدام البرامج
Skills you'll gain: Java, Computer Programming, Debugging, Data Manipulation, Statistical Analysis, Programming Principles, Data Analysis, Object Oriented Programming (OOP), Program Development, Algorithms, Data Import/Export, Integrated Development Environments
Beginner · Course · 1 - 3 Months
Yonsei University
Valuation and Financial Analysis For Startups Capstone
Skills you'll gain: Capital Budgeting, Financial Statement Analysis, Business Valuation, Strategic Decision-Making, Financial Analysis, Entrepreneurial Finance, Financial Management, Financial Modeling, Market Analysis, Competitive Analysis, Cash Flow Forecasting, Business Research, Business Analysis
4.2
Rating, 4.2 out of 5 stars
6 reviews
Beginner · Course · 1 - 3 Months
LearnQuest
Neural Networks and Random Forests
Skills you'll gain: Random Forest Algorithm, Keras (Neural Network Library), Classification And Regression Tree (CART), Tensorflow, Deep Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Machine Learning, Performance Tuning, Python Programming
2.9
Rating, 2.9 out of 5 stars
13 reviews
Intermediate · Course · 1 - 4 Weeks
Packt
Deep Learning with Real-World Projects
Skills you'll gain: Matplotlib, Deep Learning, Linear Algebra, Artificial Neural Networks, NumPy, Image Analysis, Keras (Neural Network Library), Data Visualization Software, Seaborn, Pandas (Python Package), Tensorflow, Machine Learning, Applied Machine Learning, Computer Vision, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, PyTorch (Machine Learning Library), Jupyter, Python Programming
Beginner · Specialization · 3 - 6 Months
Coursera Project Network
R أساسيات لغة البرمجة
Skills you'll gain: Exploratory Data Analysis, R Programming, Data Manipulation, Statistical Programming, Data Analysis, File Management, Programming Principles, Development Environment, Data Structures
Beginner · Guided Project · Less Than 2 Hours
Universidad Nacional Autónoma de México
Evolución: Teoría sintética
Skills you'll gain: Life Sciences, Liberal Arts, Social Studies, Deductive Reasoning, Anthropology, Scientific Methods, General Science and Research, Mathematical Modeling, Cultural Diversity, Science and Research, Statistical Analysis, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Tidy Messy Data using tidyr in R
Skills you'll gain: Ggplot2, Data Cleansing, Tidyverse (R Package), Data Wrangling, Data Transformation, Data Visualization, R Programming, Data Manipulation
4.6
Rating, 4.6 out of 5 stars
10 reviews
Intermediate · Guided Project · Less Than 2 Hours
University of Colorado Boulder
Universal Theories
Skills you'll gain: Physics, Physical Science, Mathematical Modeling, Advanced Mathematics, Applied Mathematics
Beginner · Course · 1 - 4 Weeks