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

Codio
Select Topics in Python: Matplotlib
Skills you'll gain: Matplotlib, Data Visualization Software, Statistical Visualization, Data Visualization, Jupyter, Interactive Data Visualization, Scatter Plots, Histogram, Box Plots, Graphing
3.4
Rating, 3.4 out of 5 stars
9 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Data Balancing with Gen AI: Credit Card Fraud Detection
Skills you'll gain: Generative AI, Keras (Neural Network Library), Tensorflow, Deep Learning, Dimensionality Reduction, Exploratory Data Analysis, Applied Machine Learning, Anomaly Detection, Data Processing, Data Visualization, Data Synthesis, Machine Learning
4.3
Rating, 4.3 out of 5 stars
6 reviews
Intermediate · Guided Project · Less Than 2 Hours
Vanderbilt University
From Data to Decisions: Making Predictions with AI
Skills you'll gain: Data Storytelling, Statistical Methods, Regression Analysis, Statistical Analysis, Technical Communication, Probability & Statistics, Data-Driven Decision-Making, Data Analysis, Predictive Analytics, Generative AI, Forecasting
Intermediate · Course · 1 - 4 Weeks
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
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, Visualization (Computer Graphics), Exploratory Data Analysis, Data Cleansing, Data Analysis, Data Manipulation, Big Data, Programming Principles, Python Programming
Build toward a degree
Mixed · Course · 1 - 4 Weeks
L&T EduTech
Industrial Applications of AI
Skills you'll gain: Machine Learning Algorithms, Computer Vision, Image Analysis, Applied Machine Learning, Machine Learning, Artificial Intelligence, Civil Engineering, Tensorflow, Computer Engineering, Engineering Software, Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Electrical Engineering, Mechanical Engineering, Computer Programming, Predictive Modeling, Data Processing
4.6
Rating, 4.6 out of 5 stars
7 reviews
Intermediate · Course · 1 - 3 Months
University of Michigan
AI for Energy and Biomedical Applications
Skills you'll gain: Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Bioinformatics, Maintenance, Repair, and Facility Services, Deep Learning, Applied Machine Learning, Medical Science and Research, Patient Treatment, Predictive Modeling, Radiology, Machine Learning, Analytics, Anomaly Detection, Computer Vision, Treatment Planning, Predictive Analytics, Pharmaceuticals, Forecasting
Intermediate · Course · 1 - 4 Weeks
Status: Free
Amazon Web Services
Responsible AI Practices
Skills you'll gain: Human Centered Design, Data Ethics, Human Computer Interaction, Artificial Intelligence, AWS SageMaker, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
3.7
Rating, 3.7 out of 5 stars
19 reviews
Beginner · Course · 1 - 4 Weeks
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
Coursera Project Network
Employee Attrition Prediction Using Machine Learning
Skills you'll gain: Data Visualization, Feature Engineering, Data Cleansing, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Analysis, Applied Machine Learning, Regression Analysis, Supervised Learning, Predictive Analytics, Machine Learning, Human Resources, Decision Tree Learning, Employee Retention
4.4
Rating, 4.4 out of 5 stars
12 reviews
Beginner · Guided Project · Less Than 2 Hours
Meta
Prepare for the Meta Marketing Science Certification Exam
Skills you'll gain: Marketing Analytics, Analytics, Marketing, Data Analysis, Resource Utilization, Marketing Effectiveness, Statistical Methods, Verification And Validation, Digital Marketing
Intermediate · Course · 1 - 4 Weeks
DeepLearning.AI
Повышение эффективности глубоких нейросетей
Skills you'll gain: Tensorflow, Deep Learning, Data Compilation, Statistical Analysis, Artificial Neural Networks, Analysis, Performance Tuning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Algorithms
Beginner · Course · 1 - 4 Weeks