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.

UniversitĆ di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Artificial Neural Networks, Transfer Learning, Machine Learning, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Modeling
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Predictive Modeling, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Preprocessing
Mixed Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Mechanical Engineering, Thermal Management, Engineering Analysis, Simulations, Numerical Analysis, Engineering, Mathematical Modeling, Physics
Intermediate Ā· Course Ā· 1 - 3 Months

KoƧ University
Skills you'll gain: Numerical Analysis, Calculus, Applied Mathematics, Integral Calculus, Mathematical Software, Mathematics Education, Advanced Mathematics, Mathematical Theory & Analysis, Derivatives
Mixed Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Object Oriented Programming (OOP), File I/O, Software Development, Automation, Data Structures, Programming Principles, Maintainability, Python Programming, Debugging, JSON
Mixed Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Model Deployment, Data Management, Data Pipelines, Statistical Modeling
Intermediate Ā· Course Ā· 1 - 4 Weeks

Simplilearn
Skills you'll gain: Marketing Analytics, Web Analytics, Google Analytics, Key Performance Indicators (KPIs), Marketing Effectiveness, Performance Measurement, Business Metrics, Performance Metric, Marketing Strategies, Digital Marketing, Data-Driven Decision-Making, Return On Investment, Analytics, Heat Maps, Customer Engagement
Beginner Ā· Course Ā· 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 Ā· Course Ā· 1 - 3 Months

Skills you'll gain: File I/O, JSON, Package and Software Management, Authorization (Computing), Web Scraping, Application Programming Interface (API), Python Programming, Authentications, Object Oriented Programming (OOP), Data Processing, Simulations, Data Management, Probability & Statistics
Intermediate Ā· Course Ā· 1 - 3 Months

Fundação Instituto de Administração
Skills you'll gain: Marketing Strategies, Customer experience strategy (CX), Digital Transformation, Marketing Analytics, Marketing, Data-Driven Decision-Making, Predictive Analytics, Digital Marketing, Machine Learning, Innovation, Trend Analysis, Brand Management, Deep Learning, Artificial Intelligence, Artificial Neural Networks
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Applied Machine Learning, Classification Algorithms, Model Deployment, Data Preprocessing, Network Architecture, Model Evaluation
Mixed Ā· Course Ā· 1 - 4 Weeks

Duke University
Skills you'll gain: Web Scraping, Data Ethics, Data Transformation, Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Manipulation, Data Collection, Data Pipelines, Data Preprocessing, Personally Identifiable Information, Data Integrity, R Programming, Exploratory Data Analysis, Information Privacy, Statistical Programming
Beginner Ā· Course Ā· 1 - 4 Weeks