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.

Packt
Skills you'll gain: Data Cleansing, Data Manipulation, Advanced Analytics, Applied Machine Learning, Fraud detection, Data Transformation, Predictive Modeling, Analytics, Data Processing, Machine Learning Software, Machine Learning, Data Analysis, Application Design, Operational Databases, Model Training, Data Preprocessing, Sampling (Statistics), Data Integration, Complex Problem Solving
Intermediate · Course · 1 - 3 Months

Pontificia Universidad Católica del Perú
Skills you'll gain: Writing, Quantitative Research, Statistical Methods, Business Mathematics, Business Writing, Financial Analysis, Learning Strategies, Finance, General Finance, Statistical Analysis, AI Enablement, Decision Intelligence, Business Economics, Market Dynamics, Goal Setting, Productivity Software, Responsible AI
Beginner · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Amazon Bedrock, Fine-tuning, Generative AI, AWS SageMaker, Generative Model Architectures, Machine Learning Methods, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Amazon Web Services, Machine Learning, Machine Learning Algorithms, Model Training, Applied Machine Learning, Model Optimization, Model Evaluation, Model Deployment, Artificial Intelligence, System Monitoring
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Data Preprocessing, Model Evaluation, Applied Machine Learning, Feature Engineering, Data Transformation, Big Data, Google Cloud Platform, Analytics, Data Manipulation, Predictive Analytics, Model Training, Predictive Modeling, Machine Learning, Data Access, Exploratory Data Analysis, SQL
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Correlation Analysis, Portfolio Risk, Portfolio Management, Investment Management, Investments, Financial Analysis, Analysis
Intermediate · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Cloud API, Google Cloud Platform, Application Programming Interface (API), Natural Language Processing, Machine Learning, Application Development
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Google Cloud Platform, Model Deployment, Tensorflow, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Unstructured Data, Model Training, Applied Machine Learning, Machine Learning, Jupyter, Artificial Intelligence, Cloud Deployment
★ 4.8 (12) · Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Dataflow, Model Optimization, Tensorflow, Data Pipelines, Data Processing, Keras (Neural Network Library), Applied Machine Learning, Data Transformation, Machine Learning Methods, Statistical Machine Learning, Data Store, Data Import/Export, Statistical Methods
★ 4.5 (10) · Intermediate · Course · 1 - 3 Months

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

Skills you'll gain: Kotlin
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Processing, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Data Store, Apache Spark, Azure Synapse Analytics, Model Training, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Development Environment
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Natural Language Processing, Deep Learning, Autoencoders, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, AI Personalization, Machine Learning, Embeddings, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks