Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.

Skills you'll gain: Hugging Face, LLM Application, LangChain, Large Language Modeling, OpenAI, Natural Language Processing, Generative AI Agents, ChatGPT, Responsible AI, Embeddings, Application Programming Interface (API), Text Mining, Restful API, Agentic systems, Open Source Technology, Data Preprocessing, MLOps (Machine Learning Operations), Python Programming, Model Evaluation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Digital pedagogy, Education Software and Technology, digital literacy, Content Management, User Accounts
Beginner · Guided Project · Less Than 2 Hours

National Taiwan University
Skills you'll gain: Building Information Modeling, Data Modeling, 3D Modeling, Computer-Aided Design, Construction, Engineering Practices, Construction Management, Civil Engineering, Mechanical Engineering
Beginner · Course · 1 - 3 Months

Microsoft
Skills you'll gain: Microsoft Excel, Excel Formulas, Data Visualization, Spreadsheet Software, Microsoft Office, Microsoft 365, Productivity Software, Data Import/Export, Data Management
Beginner · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: Data Visualization, Data Visualization Software, Tableau Software, Data Storytelling, Data Presentation, Exploratory Data Analysis, Design Elements And Principles, Data Analysis, Color Theory, Data Ethics, User Centered Design, Human Factors
Beginner · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Hugging Face, Model Evaluation, Embeddings, Transfer Learning, Recurrent Neural Networks (RNNs), Model Deployment, Data Preprocessing, Performance Tuning
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning
Advanced · Professional Certificate · 3 - 6 Months

Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Histogram, Data Visualization, Statistical Analysis, Integrated Development Environments, Computer Networking, Python Programming, Server Side
Beginner · Specialization · 3 - 6 Months

Board Infinity
Skills you'll gain: Transportation, Supply Chain, and Logistics, Inventory and Warehousing, Supply Chain Management, Business Continuity, Supply Chain Planning, Business Continuity Planning, Crisis Management, Inventory Management System, Forecasting, AI Enablement, Predictive Analytics, Logistics, Data Ethics, Automation, Continuous Monitoring, Logistics Management, Real Time Data, Risk Mitigation, Risk Management, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Advanced Analytics, Analytics, Statistical Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Machine Learning Algorithms, Workflow Management, Data Ethics, Supervised Learning, Data Preprocessing, Decision Tree Learning, Random Forest Algorithm, Verification And Validation, Python Programming, Classification Algorithms, Performance Tuning
Advanced · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, AI Workflows, AI Enablement, Agentic systems, Automation, Business Process Automation, Real Time Data, MLOps (Machine Learning Operations), AI Personalization, IT Automation, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, No-Code Development, Cloud-Based Integration, Business Transformation, Cloud API, Python Programming, Data Analysis, Restful API, API Design
Intermediate · Course · 1 - 4 Weeks