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: 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

Case Western Reserve University
Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Geospatial Information and Technology, Geographic Information Systems, Geospatial Mapping, Data Cleansing, Data Analysis, Statistical Modeling, Statistical Analysis, Oil and Gas, Statistical Reporting, Statistical Methods, Estimation, Simulation and Simulation Software, Data Integration
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Apache Airflow, Tensorflow, MLOps (Machine Learning Operations), Google Cloud Platform, Data Pipelines, Machine Learning Methods, Model Deployment, Model Evaluation, Cloud Computing, Machine Learning
Beginner · Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms
Intermediate · Course · 1 - 3 Months

University of Washington
Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Supervised Learning, Predictive Analytics, Classification Algorithms, Image Analysis, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Python Programming
Mixed · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Forecasting, Statistical Modeling, Model Evaluation, Feature Engineering, Data Visualization Software
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Federated Learning, Transfer Learning, AI Security, Large Language Modeling, PyTorch (Machine Learning Library), Information Privacy, Distributed Computing, Machine Learning
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Google Cloud Platform, Model Deployment, Data Preprocessing, Applied Machine Learning, Feature Engineering, Analytics, Cloud Storage, Predictive Analytics, Machine Learning, Advanced Analytics, Data Management
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Matplotlib, Linear Algebra, Data Visualization, NumPy, Machine Learning Algorithms, Pandas (Python Package), Seaborn, Data Science, Machine Learning, Data Analysis, Supervised Learning, Python Programming, Jupyter, Data Manipulation, Classification Algorithms, Regression Analysis, Data Structures, Software Installation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Financial Modeling, Balance Sheet, Financial Statement Analysis, Financial Statements, Revenue Forecasting, Depreciation, Capital Expenditure, Financial Analysis, Financial Forecasting, Business Valuation, International Finance, Working Capital, Business Metrics, Equities, Cash Flows, Forecasting
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Integrity, Data Cleansing, Data Quality, Data Validation, Sampling (Statistics), Probability & Statistics, Data Analysis, Statistics, Statistical Analysis, Small Data
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Generative AI, Large Language Modeling, Supervised Learning, Applied Machine Learning, Artificial Intelligence, Responsible AI, Machine Learning, Healthcare Industry Knowledge, Data Ethics, AI Personalization, Predictive Analytics, Precision Medicine, Health Informatics
Mixed · Course · 1 - 4 Weeks