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.

Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Statistical Methods, Dimensionality Reduction, Algorithms, NumPy, Python Programming
Intermediate · Course · 1 - 3 Months

National Taiwan University
Skills you'll gain: Logistic Regression, Sampling (Statistics), Model Evaluation, Statistical Methods, Regression Analysis, Statistical Hypothesis Testing, Statistical Modeling, Statistical Analysis, R Programming, Business Analytics, Probability & Statistics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Digital Transformation, Artificial Intelligence, Responsible AI, Cloud Solutions, Data Quality, Business Intelligence, Machine Learning, Applied Machine Learning, Cloud API
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis
Mixed · Course · 1 - 4 Weeks
Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Classification Algorithms, Reinforcement Learning, Applied Machine Learning, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Supervised Learning, Unsupervised Learning, Random Forest Algorithm, Feature Engineering, Logistic Regression, Data Manipulation
Intermediate · Course · 3 - 6 Months

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, AI Workflows, Workflow Management, Enterprise Modeling, Data Pipelines, Data Preprocessing, Applied Machine Learning, Data Processing, Machine Learning, Model Evaluation, Data Management
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Decision Tree Learning, Credit Risk, Random Forest Algorithm, Feature Engineering, Financial Modeling, Logistic Regression, Data Analysis, Statistical Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Classification Algorithms
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Credit Risk, Derivatives, Finance, Case Studies, Financial Analysis, Risk Analysis, Financial Modeling, Portfolio Risk, Financial Market, Risk Management, Capital Markets, Mathematical Modeling, Probability
Mixed · Course · 1 - 4 Weeks

Fundação Instituto de Administração
Skills you'll gain: Marketing Analytics, Data Visualization, Sales Strategy, Marketing Strategies, Digital Media Strategy, Data Visualization Software, Customer Engagement, Analytics, Consumer Behaviour, Market Analysis, Regression Analysis, Statistical Analysis, Exploratory Data Analysis, Pandas (Python Package), Decision Tree Learning, Decision Making, Logistic Regression, Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Apache Spark, PySpark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Tensorflow, A/B Testing, Data Ethics, Convolutional Neural Networks, Machine Learning Software, Data Cleansing, Machine Learning, Recurrent Neural Networks (RNNs), MLOps (Machine Learning Operations), Artificial Intelligence, Dimensionality Reduction
Advanced · Course · 1 - 3 Months