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.

MathWorks
Skills you'll gain: Medical Imaging, Magnetic Resonance Imaging, Image Analysis, X-Ray Computed Tomography, Data Import/Export, Biomedical Engineering, Matlab, Scientific Visualization, Deep Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Classification Algorithms, Data Preprocessing, Data Analysis, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Science, Statistical Hypothesis Testing, Supervised Learning, Statistical Methods, Data Structures
Beginner · Course · 1 - 4 Weeks

Unilever
Skills you'll gain: Web Analytics, Social Media Campaigns, Digital Marketing, Google Analytics, Social Media Marketing, Search Engine Marketing, Social Media Strategy, Marketing Strategies, Search Engine Optimization, Keyword Research, Marketing Analytics, A/B Testing, Smart Goals, Performance Analysis, Key Performance Indicators (KPIs), Value Propositions
Beginner · Course · 1 - 4 Weeks
University of London
Skills you'll gain: Applied Machine Learning, Model Evaluation, Artificial Intelligence, Machine Learning, Computer Vision, Data Preprocessing
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Data Management, Data Strategy, Management Reporting, Analytical Skills, Statistical Inference, Statistical Modeling, Data Presentation, Team Leadership, Statistical Methods, Communication
Mixed · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Continuous Integration, CI/CD, Continuous Delivery, Continuous Deployment, Integration Testing, DevOps, Continuous Monitoring, System Monitoring, Docker (Software), Application Deployment, Security Controls, GitHub, Automation, Version Control
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Vector Databases, Embeddings, Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Algorithms, Semantic Web, Generative AI Agents, Applied Machine Learning, Unsupervised Learning
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Hugging Face, Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Model Evaluation, Responsible AI, LangChain, Large Language Modeling, Model Deployment, Generative AI, Generative Adversarial Networks (GANs), Application Deployment, Application Development, Technical Management, OpenAI API, Data Ethics, AI Enablement, Trend Analysis, Business Strategy, Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Deep Learning, Unsupervised Learning, Embeddings, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Model Deployment, Flask (Web Framework)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: MySQL Workbench, Data-Driven Decision-Making, Exploratory Data Analysis, MySQL, Business Analytics, Data Analysis, Database Design, SQL, Analytical Skills, Data Presentation, Technical Communication, Relational Databases
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Google Sheets, Data Visualization, User Feedback, Customer experience improvement, Customer Insights, Customer Analysis, Customer Service, Google Workspace, Trend Analysis, Performance Analysis, Analysis
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Performance Tuning, Convolutional Neural Networks, Model Deployment, Python Programming
Intermediate · Guided Project · Less Than 2 Hours