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.

Coursera
Skills you'll gain: Financial Statements, Dashboard, Variance Analysis, Financial Analysis, Pivot Tables And Charts, Excel Formulas, Financial Forecasting, Financial Modeling, Budget Management, Microsoft Excel, Performance Reporting, Data Validation, Spreadsheet Software, Financial Reporting, Auditing, Cost Management, Data Presentation, Data Storytelling, Business Intelligence, Performance Analysis
Intermediate · Specialization · 3 - 6 Months

American Museum of Natural History
Skills you'll gain: Medical Science and Research, Healthcare Ethics, Biomedical Technology, Clinical Research, Biotechnology, Cell Biology, Life Sciences, Biology, Drug Development, Precision Medicine, Molecular Biology
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Data Preprocessing, Predictive Modeling, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Data Analysis, Data-Driven Decision-Making, Statistical Modeling, R (Software), Feature Engineering, Applied Machine Learning, Logistic Regression, Data Transformation, Business Analytics, Decision Tree Learning
Beginner · Course · 1 - 4 Weeks

The University of Edinburgh
Skills you'll gain: Research, Scientific Methods, General Science and Research, Biology, Cultural Diversity
Beginner · Course · 1 - 3 Months

University of California, Irvine
Skills you'll gain: Go (Programming Language), Back-End Web Development, Object Oriented Programming (OOP), System Programming, Debugging, Algorithms, Functional Design, Computer Programming Tools, Data Access, Data Structures, Software Design, Operating Systems, Computer Architecture
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: SAS (Software), Scripting, Debugging, Computational Logic, Statistical Programming, Automation, Data Processing, Data Manipulation, Maintainability
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Analytics, Enterprise Resource Planning, Systems Analysis, Information Systems, Management Information Systems, Business Analytics, Business Process Management, Data Governance, Data Preprocessing, Automation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Cloud Infrastructure, Microsoft Azure, Infrastructure As A Service (IaaS), Data Processing, Big Data, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), Databricks, Infrastructure Security, Data Pipelines, Virtual Networking, Azure DevOps, Virtual Machines, Azure Active Directory, Analytics, Active Directory, Network Security, Model Deployment, Python Programming, Role-Based Access Control (RBAC)
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Logistic Regression, SAS (Software), Statistical Hypothesis Testing, Statistical Software, Statistical Analysis, Predictive Modeling, Statistical Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Probability & Statistics, Model Evaluation
Intermediate · Course · 1 - 3 Months

University of Amsterdam
Skills you'll gain: Qualitative Research, Interviewing Skills, Social Sciences, Research, Science and Research, Research Methodologies, Data Collection, Surveys, Research Design, Report Writing, Ethical Standards And Conduct
Intermediate · Course · 1 - 3 Months

University of California, Irvine
Skills you'll gain: Linux, Operating System Administration, Operating Systems, Integrated Development Environments, File Systems, Internet Of Things, Development Environment, Embedded Systems, Python Programming, OS Process Management, Computer Hardware, UI Components, Computer Programming
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Data Visualization, Spatial Data Analysis, Statistical Visualization, Scatter Plots, Plot (Graphics), Dashboard, Data Import/Export, Interactive Data Visualization, R Programming, Data Visualization Software, Geospatial Information and Technology, Data Literacy, Statistical Reporting, Storyboarding, Data Science, Data Analysis
Beginner · Specialization · 3 - 6 Months