Statistical Inference Courses
Statistical inference courses can help you learn hypothesis testing, confidence intervals, regression analysis, and data interpretation. You can build skills in analyzing sample data, making predictions, and drawing conclusions about larger populations. Many courses introduce tools like R and Python for statistical programming, as well as software for data visualization, which enhance your ability to apply statistical methods effectively.
Popular Statistical Inference Courses and Certifications
Status: PreviewKorea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Integral Calculus, Applied Mathematics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Calculus, Mathematics and Mathematical Modeling, Mathematical Modeling, Advanced Mathematics, Machine Learning
Status: PreviewSungkyunkwan University
Skills you'll gain: Scalability, Deep Learning, Applied Machine Learning, Data Mining, Data Processing, Machine Learning, Machine Learning Algorithms, Algorithms, Artificial Neural Networks, Data Structures
Skills you'll gain: Data Visualization Software, Data Visualization, Ggplot2, Plot (Graphics), R Programming, Scatter Plots, Graphing, Data Analysis, Data Wrangling, Data Manipulation, Data Import/Export, Regression Analysis, Software Installation, Package and Software Management
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Large Language Modeling, Continuous Monitoring, Generative AI, Performance Tuning, Machine Learning
Status: PreviewCoursera
Skills you'll gain: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Web Analytics, Scikit Learn (Machine Learning Library), Retail Store Operations, Machine Learning, Histogram, Decision Tree Learning, Pandas (Python Package), Jupyter, Matplotlib
Status: Free TrialSkills you'll gain: Deep Learning, Data Processing, Data Manipulation, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Neural Networks, Data Visualization Software, Pandas (Python Package), System Design and Implementation
Status: NewStatus: Free TrialSkills you'll gain: Text Mining, Statistical Analysis, Data Visualization, Descriptive Statistics, Data Analysis, Computer Programming, Mathematical Software, Data Manipulation, Data Processing, Data Structures, Linear Algebra, Numerical Analysis, Software Installation
Status: NewStatus: Free TrialBirla Institute of Technology & Science, Pilani
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Numerical Analysis, Machine Learning, Artificial Neural Networks, Dimensionality Reduction, Data Analysis
Status: PreviewUniversity of Washington
Skills you'll gain: Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Predictive Analytics, Artificial Intelligence, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Data Mining
Status: PreviewGoogle Cloud
Skills you'll gain: Responsible AI, Data Ethics, Machine Learning, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML)
Status: PreviewSkills you'll gain: Data Visualization, Data-Driven Decision-Making, Data Ethics, R (Software), Data Science, Data Governance, Advanced Analytics
Skills you'll gain: Financial Analysis, Portfolio Management, Financial Modeling, Correlation Analysis, Investment Management, Variance Analysis, Risk Modeling
In summary, here are 10 of our most popular Statistical Inference courses
- Math for AI Beginner Part 2 : Vector Calulus: Korea Advanced Institute of Science and Technology(KAIST)
- Recommender Systems: Sungkyunkwan University
- How to Visualize Data with R: Packt
- Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs
- Machine Learning in Retail: Coursera
- Recommender Systems: An Applied Approach using Deep Learning: Packt
- Octave for Machine Learning: Analyze & Visualize: EDUCBA
- Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
- 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
- Introduction to Responsible AI - בעברית: Google Cloud
