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: PreviewJohns Hopkins University
Skills you'll gain: Clinical Research, Qualitative Research, Data Synthesis, Scientific Methods, Research Methodologies, Data Collection, Quantitative Research, Risk Analysis, Statistical Methods, Statistical Analysis
Status: PreviewThe Hong Kong University of Science and Technology
Skills you'll gain: Microsoft Office, Computer Hardware, Computer Literacy, Computer Graphics, Computer Systems, Graphics Software, Spreadsheet Software, File Management
Status: PreviewUniversity of Michigan
Skills you'll gain: Mechanical Engineering, Thermal Management, Engineering, Energy and Utilities, Physics, Engineering Analysis, Systems Of Measurement, Physical Science, Process Analysis, Environmental Issue
Status: PreviewHebrew University of Jerusalem
Skills you'll gain: Computer Architecture, Computer Hardware, Computer Engineering, Computational Logic, Computer Programming, System Design and Implementation, Software Design, Debugging, Computer Programming Tools, Verification And Validation, Data Storage
Status: NewSkills you'll gain: Analytics, Integrated Development Environments
University of California San Diego
Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, PySpark, Data Infrastructure, Data Processing, Distributed Computing, Performance Tuning, Scalability, Data Storage, Python Programming
Status: Free TrialWesleyan University
Skills you'll gain: Descriptive Statistics, Data Manipulation, Data Presentation, Data Management, Data Literacy, Graphing, SAS (Software), Peer Review, Data Analysis, Statistics, Research Reports, Exploratory Data Analysis, Python Programming
Status: NewStatus: Free TrialSkills you'll gain: Responsible AI, Data Storytelling, AI Workflows, Data Presentation, AI Enablement, Predictive Modeling, Decision Support Systems, Strategic Decision-Making, Data-Driven Decision-Making, Business Intelligence, Decision Making, Business Analytics, Agentic systems, MLOps (Machine Learning Operations), Forecasting, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Data Security, Text Mining
Status: Free TrialKennesaw State University
Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Process Analysis, Probability Distribution, Probability & Statistics, Process Improvement, Quality Improvement, Process Mapping, Systems Of Measurement, Data Analysis, Statistical Methods, Probability, Statistics, Risk Analysis
Status: Free TrialSkills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Data Analysis, Data Transformation, Requirements Analysis, Statistical Programming, Exploratory Data Analysis, Data Cleansing, Statistical Analysis, Data Processing, Data Preprocessing, Data Integration, SQL, Descriptive Statistics, Computer Programming, Data Presentation, Debugging
Status: Free TrialUniversity of Toronto
Skills you'll gain: Control Systems, Robotics, Embedded Software, Automation, Software Architecture, Simulations, Safety Assurance, Hardware Architecture, Systems Architecture, Computer Vision, Mathematical Modeling, Safety Standards, Global Positioning Systems
Status: PreviewUniversitat Autònoma de Barcelona
Skills you'll gain: Microsoft PowerPoint, Microsoft Word, Microsoft Office, Microsoft Excel, Spreadsheet Software, Computer Literacy, digital literacy, Document Management, Data Entry, File Management
In summary, here are 10 of our most popular statistics for data science courses
- Introduction to Systematic Review and Meta-Analysis: Johns Hopkins University
- Introduction to Computers and Office Productivity Software: The Hong Kong University of Science and Technology
- Introduction to Thermodynamics: Transferring Energy from Here to There: University of Michigan
- Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course): Hebrew University of Jerusalem
- Python 101 - From Noob to Nerd: Packt
- Hadoop Platform and Application Framework: University of California San Diego
- Data Management and Visualization: Wesleyan University
- AI-Powered Decision Intelligence: Edureka
- Six Sigma Tools for Analyze: Kennesaw State University
- SAS Programmer: SAS
