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.

Johns Hopkins University
Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Model Deployment, Debugging, Artificial Intelligence, Machine Learning, Ethical Standards And Conduct, Model Evaluation, Applied Machine Learning, Social Impact, Unstructured Data, Data-Driven Decision-Making, Information Privacy, Case Studies
Intermediate · Course · 1 - 4 Weeks

O.P. Jindal Global University
Skills you'll gain: Text Mining, Data Ethics, Data Mining, Customer Insights, Marketing Analytics, Unstructured Data, Marketing, Trend Analysis, Brand Awareness, Target Audience, Natural Language Processing, Predictive Analytics, Machine Learning, Data Preprocessing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Machine Learning Methods, Network Architecture, Artificial Intelligence, Network Model, Machine Learning, Classification Algorithms, Data Processing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Classification Algorithms, Amazon Web Services, Machine Learning Methods, Predictive Modeling, Machine Learning, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram
Mixed · Course · 1 - 4 Weeks

LearnQuest
Skills you'll gain: Exploratory Data Analysis, Teradata SQL, JSON, Data Integration, Advanced Analytics, Data Cleansing, Text Mining, Data Quality, Data Analysis, Statistical Analysis, Application Programming Interface (API), Database Management, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: .NET Framework, Machine Learning Algorithms, Model Deployment, Machine Learning, AI Enablement, Artificial Intelligence, Microsoft Copilot, Generative AI, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Microsoft Azure, MLOps (Machine Learning Operations), C# (Programming Language), Microsoft Visual Studio, Development Environment, Microsoft Development Tools, Responsible AI, Model Evaluation, Computer Vision
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Mergers & Acquisitions, Financial Modeling, Business Valuation, Financial Analysis, Investment Banking, Financial Forecasting, Case Studies, Corporate Strategy, Plan Execution, Cash Flows
Mixed · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Google Cloud Platform, Google Workspace, Natural Language Processing, Scripting, Cloud API, Document Management, Machine Learning
Intermediate · Project · Less Than 2 Hours

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

Johns Hopkins University
Skills you'll gain: Trigonometry, Probability, Data Analysis, Algebra, Probability Distribution, Descriptive Statistics, Mathematical Modeling, Graphing, Statistics, Geometry, Arithmetic
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning, Natural Language Processing, Supervised Learning, Network Architecture, Data Science
Beginner · Course · 1 - 4 Weeks