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
Status: PreviewAutomatic Data Processing, Inc. (ADP)
Skills you'll gain: Payroll, Payroll Reporting, Payroll Processing, Payroll Administration, Payroll Tax, Labor Law, Labor Compliance, Income Tax, Compensation and Benefits, Tax Compliance, Benefits Administration, Employee Onboarding
Status: PreviewNational Taiwan University
Skills you'll gain: Data Structures, Data Visualization Software, Financial Data, Financial Analysis, Data Analysis, Debugging, Programming Principles, Python Programming, Maintainability, Data Validation
Status: PreviewMathWorks
Skills you'll gain: Model Based Systems Engineering, Systems Engineering, Systems Architecture, Functional Design, System Design and Implementation, Requirements Analysis, Requirements Elicitation, Verification And Validation
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
Status: PreviewUniversity of Illinois Urbana-Champaign
Skills you'll gain: Biology, Taxonomy, Anthropology, World History, Environmental Science, Microbiology, Climate Change Adaptation, Scientific Methods, Chemistry
Status: Free TrialKennesaw State University
Skills you'll gain: Incident Response, Contingency Planning, Disaster Recovery, Computer Security Incident Management, Security Management, Crisis Management, Cybersecurity, Business Continuity, Cyber Attacks, Risk Analysis, Business Risk Management, Data Management
- Status: Preview
Sapienza University of Rome
Skills you'll gain: Ancient History, Public History, Political Sciences, Art History, European History, World History, Research, Investigation, Social Sciences, Culture, Governance, Scientific Methods, Data Collection, Storytelling
Status: Free TrialSkills you'll gain: Power BI, Data Ethics, Data Visualization Software, Data Analysis, Statistical Analysis, Correlation Analysis, Business Intelligence, Advanced Analytics, Data Analysis Expressions (DAX), Analytics, Data-Driven Decision-Making, Exploratory Data Analysis, Trend Analysis, Time Series Analysis and Forecasting, Scatter Plots, Forecasting, Geospatial Information and Technology, Root Cause Analysis
Status: Free TrialDuke University
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Hugging Face, Containerization, CI/CD, DevOps, Docker (Software), Microsoft Azure, Cloud Computing, Machine Learning Software, Transfer Learning, Model Evaluation, GitHub
Status: Free TrialDuke 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
Status: PreviewUniversity of Leeds
Skills you'll gain: Programming Principles, Robotics, Python Programming, Computer Programming, Automation, Algorithms, Debugging, Development Environment, Data Structures
Status: Free TrialUniversity of Michigan
Skills you'll gain: C (Programming Language), Data Structures, Application Security, System Programming, Programming Principles, Performance Tuning
Searches related to statistics for data science
In summary, here are 10 of our most popular statistics for data science courses
- Payroll and Tax Fundamentals: Automatic Data Processing, Inc. (ADP)
- 用 Python 做商管程式設計（二）(Programming for Business Computing in Python (2)): National Taiwan University
- Systems Engineering: MathWorks
- Interpretable machine learning applications: Part 5: Coursera
- Emergence of Life: University of Illinois Urbana-Champaign
- Managing Cybersecurity Incidents and Disasters: Kennesaw State University
- The Changing Landscape of Ancient Rome. Archaeology and History of the Palatine Hill: Sapienza University of Rome
- Visualization for Data Analysis with Power BI: Microsoft
- MLOps Tools: MLflow and Hugging Face: Duke University
- Data Science with NumPy, Sets, and Dictionaries: Duke University
