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.

Simplilearn
Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis
Beginner · Specialization · 1 - 3 Months

Howard University
Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Modeling, Applied Mathematics, Machine Learning Methods, Linear Algebra, Model Evaluation, Statistical Analysis, Data Manipulation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative Model Architectures, Large Language Modeling, Generative AI, Open Source Technology, Image Analysis, Model Evaluation, Model Deployment, Scalability, Data Security
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Unsupervised Learning, Anomaly Detection, Data Preprocessing, Data Mining, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Data Analysis, Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Apache Spark, PySpark, Retrieval-Augmented Generation, OpenAI API, Generative AI, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Transfer Learning, Deep Learning, ChatGPT, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Machine Learning
Intermediate · Specialization · 3 - 6 Months

MathWorks
Skills you'll gain: Data Science, Data Processing, Applied Machine Learning, Machine Learning, Geographic Information Systems, Big Data, Data Visualization, Data Analysis, Data Integration, Amazon Web Services, Cloud Computing, Matlab, Data Cleansing, Regression Analysis, Classification Algorithms
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Supervised Learning, Applied Machine Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, NumPy, Performance Tuning, Linear Algebra
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Program Evaluation, Maternal Health, Nutrition and Diet, Child Health, Social Impact, Research Methodologies, Data Collection, Epidemiology, Public Health and Disease Prevention, Health Policy, Mathematical Modeling, Statistical Modeling, Data Analysis Software
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Applied Machine Learning, Data Pipelines, Tensorflow, Machine Learning
Intermediate · Project · Less Than 2 Hours

University of Colorado System
Skills you'll gain: Machine Learning, Model Evaluation, Applied Machine Learning, Artificial Intelligence, Data Modeling, Supervised Learning, Predictive Modeling, Classification Algorithms, Health Informatics, Diagnostic Tests, Decision Support Systems, Unsupervised Learning, Reinforcement Learning, Regression Analysis, Descriptive Analytics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Process Capability, Six Sigma Methodology, Statistical Process Controls, Process Analysis, Statistical Analysis, Data Analysis, Performance Measurement, Statistical Methods, R (Software), Business Metrics, R Programming, Data Import/Export
Intermediate · Guided Project · Less Than 2 Hours