Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.

Skills you'll gain: Data Quality, Responsible AI, Data Cleansing, Generative AI, Data Preprocessing, Data Validation, Automation, Data Transformation, Tensorflow, OpenAI, Artificial Intelligence, Alteryx
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Dashboard, Pivot Tables And Charts, Microsoft Excel, Business Reporting, Excel Formulas, Case Studies, Business Intelligence, Performance Analysis, Business Analytics, Variance Analysis, Trend Analysis, Data Manipulation, Human Resources Information System (HRIS), Budgeting, Data Analysis, Project Documentation, Issue Tracking, Data Presentation, Data Validation
Beginner · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Data Visualization, Pandas (Python Package), Plot (Graphics), Statistical Visualization, Data Visualization Software, Scatter Plots, Data Analysis, Box Plots, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Big Data, Predictive Modeling, Google Cloud Platform, Applied Machine Learning, Predictive Analytics, Machine Learning Software, Forecasting, Data Management, Machine Learning
Intermediate · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Google Gemini, Gemini, Big Data, Data Analysis, Exploratory Data Analysis, AI Enablement, Data Preprocessing, Generative AI, Data Visualization Software
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Thermal Management, Finite Element Methods, Engineering Analysis, Mechanical Engineering, Engineering, Scientific Visualization, Simulations, Numerical Analysis, Mathematical Modeling, Differential Equations, Physics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Network Architecture, Model Evaluation, Performance Tuning
Advanced · Course · 1 - 3 Months

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: Image Analysis, Cloud API, Google Cloud Platform, Applied Machine Learning, Computer Vision, Application Programming Interface (API), Machine Learning
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Marketing Management, Case Studies, Data Preprocessing, Artificial Intelligence, Emerging Technologies, Exploratory Data Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Sample Size Determination, Six Sigma Methodology, Process Improvement, Quality Improvement, Data-Driven Decision-Making, Lean Methodologies, Statistical Process Controls, Process Analysis, Lean Manufacturing, Continuous Improvement Process, Predictive Modeling, Quality Management, Statistical Analysis, Regression Analysis, Probability & Statistics, Microsoft Excel, Statistical Hypothesis Testing
Mixed · Course · 1 - 4 Weeks

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