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.

Duke University
Skills you'll gain: Regression Analysis, R (Software), Data Analysis Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Model Evaluation, Exploratory Data Analysis, Mathematical Modeling, Statistics, Predictive Modeling, Probability & Statistics
Beginner · Course · 1 - 4 Weeks

University of Cape Town
Skills you'll gain: Biostatistics, Statistical Methods, Statistical Hypothesis Testing, Diagnostic Tests, Clinical Research, Statistical Analysis, Quantitative Research, Statistics, Descriptive Statistics, Statistical Inference, Data Collection, Probability
Beginner · Course · 1 - 3 Months

Duke University
Skills you'll gain: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Exploratory Data Analysis, Image Analysis, Data Science, Data Transformation, Data Manipulation, Big Data, Performance Tuning, Python Programming, Data Import/Export
Beginner · Course · 1 - 4 Weeks

IBM
Skills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Software Architecture, Computer Vision, LangChain, ChatGPT, Responsive Web Design, Restful API, LLM Application, Generative AI, Responsible AI, IBM Cloud, Data Import/Export, AI Workflows, Python Programming, Engineering Software, Machine Learning, Data Science
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Snowflake Schema, Model Deployment, Data Pipelines, Pandas (Python Package), Data Import/Export, Data Transformation, Large Language Modeling, Data Processing, Containerization, Python Programming, MLOps (Machine Learning Operations), Application Deployment, Application Development, Data Science, Cloud Computing, SQL, Data Analysis, Machine Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Dimensionality Reduction, Data Integration, Data Preprocessing, Exploratory Data Analysis, Data Visualization, Plot (Graphics), Matlab, Data Processing, Data Cleansing, Data Manipulation, Text Mining, Predictive Modeling, Unstructured Data, Image Analysis, Natural Language Processing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Analysis Expressions (DAX), Data Storytelling, Analytics, Excel Formulas, Predictive Modeling, Anomaly Detection, Python Programming, Machine Learning
Intermediate · Course · 1 - 4 Weeks

CertNexus
Skills you'll gain: Customer experience improvement, Data Strategy, Data Modeling, Marketing Analytics, Customer Insights, Business Analytics, Business Intelligence, Marketing Strategies, Data Science, Operational Efficiency, Marketing, Data Ethics, Analytics, Customer Service, Big Data, Descriptive Analytics, Business Strategy, Data Collection, Predictive Analytics, Governance
Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Feature Engineering, AI Personalization, Statistical Methods, Linear Algebra
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Data Processing, Databases, Application Programming Interface (API), Python Programming, Programming Principles, Unit Testing, Style Guides
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Diagnostic Radiology, Anatomy, Image Analysis, Data Analysis, X-Ray Computed Tomography, Data Manipulation, Radiology, Analytical Skills, Experimentation, Statistical Analysis, Biomedical Technology, Advanced Analytics, Network Analysis, R Programming, Data Processing, Research Design, Statistics
Intermediate · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, Data Preprocessing, Data Quality, NumPy, File I/O, Query Languages, Python Programming, Data Import/Export, Data Analysis, Exploratory Data Analysis, Debugging
Beginner · Course · 1 - 4 Weeks