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: Transaction Processing, Data Lakes, Data Architecture, Databricks, Data Infrastructure, Data Pipelines, Data Warehousing, Database Architecture and Administration, Data Integration, Apache Spark, Data Processing, Real Time Data, Big Data, Data Integrity, Scalability, Performance Tuning, Data Management, SQL
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Regression Analysis, Financial Forecasting, Model Evaluation, Data Presentation, Technical Communication, Exploratory Data Analysis, Statistical Programming, R Programming, Statistical Modeling, Predictive Modeling, R (Software), Statistical Analysis, Verification And Validation, Plot (Graphics), Reliability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Tableau Software, Dashboard, Data Visualization, Business Intelligence, Interactive Data Visualization, Data Presentation, Data Storytelling, Business Analytics, Data Visualization Software, Data Analysis, Trend Analysis, Forecasting, Data Cleansing, Data Preprocessing, Analytics, Data Manipulation, R (Software), Data-Driven Decision-Making, R Programming, Time Series Analysis and Forecasting
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Spreadsheet Software, Data Visualization Software, Excel Formulas, Dashboard, Data Analysis, Business Analytics, Data Manipulation, Exploratory Data Analysis, Trend Analysis, Graphing, Technical Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Performance Analysis, Artificial Neural Networks, Resource Utilization
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Object Oriented Programming (OOP), Ruby (Programming Language), Program Development, File I/O, Development Environment, Maintainability, Data Structures, Computer Programming, Debugging, Performance Tuning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, LLM Application, Large Language Modeling, Prompt Engineering, Hugging Face, Transfer Learning, Context Management
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Data Analysis, Applied Machine Learning, Network Architecture, Supervised Learning
Intermediate · Course · 1 - 4 Weeks

University of Arizona
Skills you'll gain: Web Analytics, Web Analytics and SEO, Campaign Management, Data-Driven Decision-Making, Marketing Effectiveness, Marketing Analytics, Digital Marketing, Content Performance Analysis, Return On Investment, Advertising Campaigns, Data Ethics, Marketing Strategies, Social Media Marketing, Digital Advertising, Performance marketing, Social Media, AI Personalization, Analytics, A/B Testing, Data Collection
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Tableau Software, Data Presentation, Data Storytelling, Interactive Data Visualization, Dashboard, Data Visualization Software, Data Analysis, Analytics, Data-Driven Decision-Making, Trend Analysis, Data Integration, Data Management, Geospatial Mapping
Beginner · Course · 1 - 3 Months

Logical Operations
Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Excel Formulas, Data Transformation, Data Presentation, Microsoft Excel, Data Visualization, Sampling (Statistics), Dashboard, Data Visualization Software, Spreadsheet Software, Report Writing, Pivot Tables And Charts, Data Analysis, Statistical Analysis, Data Cleansing, Microsoft Office, Geospatial Mapping, Microsoft 365, Productivity Software
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Image Analysis, Data Preprocessing, Applied Machine Learning, Model Deployment
Intermediate · Professional Certificate · 3 - 6 Months