Statistics For Data Science Courses
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.
Popular Statistics For Data Science Courses and Certifications
Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Data Ethics, Development Environment, Software Engineering
Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Scatter Plots, Histogram, Data Visualization, Data Visualization Software, Statistical Visualization, Data Analysis, Python Programming
Status: FreeAmazon Web Services
Skills you'll gain: AI Security, Responsible AI, Data Governance, Cloud Security, Amazon Web Services, Cyber Governance, Information Systems Security, Security Controls
Status: Free TrialSkills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Linear Algebra, Probability Distribution, Classification Algorithms, Regression Analysis
Status: Free TrialArizona State University
Skills you'll gain: Statistical Analysis, Regression Analysis, Sampling (Statistics), Statistical Modeling, Statistical Methods, Data Analysis Software, Data Transformation, Statistical Hypothesis Testing, Probability Distribution
Status: Free TrialSkills you'll gain: CrewAI, Generative AI Agents, Responsible AI, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, AI Orchestration, Artificial Intelligence, Agentic systems, OpenAI, Automation, LLM Application, Data Ethics, Model Evaluation, Innovation
Status: PreviewBall State University
Skills you'll gain: Data Analysis, Programming Principles, Statistical Analysis, Computer Programming, Python Programming, Object Oriented Programming (OOP), Natural Language Processing, Scripting, NumPy, Algorithms, Debugging, Data Structures
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Design Elements And Principles, Graphic Design, Design, Storytelling, Layout Design, Typography, Adobe InDesign, Design Research, Information Architecture, Color Theory, Adobe Photoshop
Status: FreeÉcole Polytechnique Fédérale de Lausanne
Skills you'll gain: Sanitation, Water Quality, Water Resource Management, Public Health, Program Evaluation, Emergency Response, Sustainable Development, Environmental Engineering, Community Health, Microbiology
Skills you'll gain: Timelines, Project Documentation, Team Management, Stakeholder Management, Project Management, Project Management Software, Project Schedules, Project Scoping, Work Breakdown Structure, Project Planning
Status: Free TrialGoogle Cloud
Skills you'll gain: Google Workspace, Gmail, Google Gemini, Service Management, Scripting, Automation, Document Management, System Configuration, Collaborative Software, Configuration Management, Cloud Storage
Status: Free TrialUniversity of California, Davis
Skills you'll gain: Focus Group, Qualitative Research, Surveys, Discussion Facilitation, Market Research, Research, Research Reports, Recruitment, Research Methodologies, Interviewing Skills, Recruitment Strategies, Consumer Behaviour, Report Writing, Sample Size Determination
In summary, here are 10 of our most popular statistics for data science courses
- Interpretable machine learning applications: Part 5: Coursera
- Python for Data Visualization:Matplotlib & Seaborn(Enhanced): Coursera
- Security, Compliance, and Governance for AI Solutions: Amazon Web Services
- NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
- Random Models, Nested and Split-plot Designs: Arizona State University
- Building AI Agents: Automation and NLP Foundations: Coursera
- Introduction to Programming: Ball State University
- Basic Elements of Design: Design Principles and Software Overview: University of Colorado Boulder
- Introduction to Household Water Treatment and Safe Storage: École Polytechnique Fédérale de Lausanne
- Introduction to Project Management: Coursera
