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: Data Manipulation, Tidyverse (R Package), Data Wrangling, Data Analysis, R Programming, Exploratory Data Analysis, Statistical Analysis
Skills you'll gain: Computational Thinking, Theoretical Computer Science, Mathematical Modeling, Systems Analysis, Performance Testing, Embedded Systems, Graph Theory, Technical Documentation, Model Evaluation, Algorithms
Status: Free TrialUniversity of Pennsylvania
Skills you'll gain: Agentic systems, Artificial Intelligence, Algorithms, Python Programming, Theoretical Computer Science, Liberal Arts
Status: PreviewSkills you'll gain: Microsoft Copilot, Microsoft Power Automate/Flow, Microsoft Power Platform, Microsoft 365, AI Enablement, Threat Detection, Compliance Management, AI Security, Workflow Management, Automation, Incident Response
Status: FreeÉcole Polytechnique Fédérale de Lausanne
Skills you'll gain: Sanitation, Environmental Engineering, Water Resource Management, Sustainable Engineering, Sustainable Technologies, Public Health, Cost Estimation, Data Collection, Case Studies
Status: Free TrialSkills you'll gain: OS Process Management, Operating Systems, C (Programming Language), System Programming, Virtualization, Virtual Machines, Application Programming Interface (API)
Skills you'll gain: Canva (Software), LinkedIn, Graphic Design, Graphic and Visual Design Software, Graphic and Visual Design, Professional Networking, Design Elements And Principles
Status: Free TrialJohns Hopkins University
Skills you'll gain: Biostatistics, Regression Analysis, Logistic Regression, Statistical Methods, Public Health, Probability & Statistics, Statistical Analysis, Statistical Inference, Advanced Analytics, Statistical Modeling, Predictive Modeling, Model Evaluation
Status: PreviewUniversidad Nacional Autónoma de México
Skills you'll gain: Materials science, Petroleum Industry, Chemistry, Environmental Engineering, Oil and Gas, Chemical Engineering, Environmental Science, Manufacturing Processes
Status: PreviewUniversity of Illinois Urbana-Champaign
Skills you'll gain: Data Mining, Education Software and Technology, Program Evaluation, Big Data, Analytics, Analysis, Data Ethics, Data Access, Natural Language Processing
Status: PreviewWesleyan University
Skills you'll gain: Professional Networking, Design Thinking, Decision Making, Professional Development, Self-Awareness, Personal Development, Creative Thinking, Psychology, Social Sciences, Cultural Diversity, Workforce Development, Adaptability
Status: Free TrialImperial College London
Skills you'll gain: Health Technology, Telehealth, Health Disparities, Health Informatics, Health Care, Health Systems, Electronic Medical Record, digital literacy, Interoperability, Public Health, Epidemiology, Big Data, Machine Learning, Artificial Intelligence
Searches related to statistics for data science
In summary, here are 10 of our most popular statistics for data science courses
- Data Manipulation with dplyr in R: Coursera
- Quantitative Formal Modeling and Worst-Case Performance Analysis: 28DIGITAL
- Artificial Intelligence Essentials: University of Pennsylvania
- Microsoft Copilot: Power Platform & Security Best Practices: Whizlabs
- Introduction to Faecal Sludge Management: École Polytechnique Fédérale de Lausanne
- Intro to Operating Systems 1: Virtualization: Codio
- Graphic design: pop your Linkedin with 3D effect using Canva: Coursera
- Multiple Regression Analysis in Public Health : Johns Hopkins University
- Una aproximación a la química del carbono: Universidad Nacional Autónoma de México
- Assessment for Learning: University of Illinois Urbana-Champaign
