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
National Taiwan University
Skills you'll gain: SketchUp (3D Modeling Software), 3D Modeling, Building Design, 3D Assets, Architecture and Construction, Computer-Aided Design, Assembly Drawing
Status: Free TrialKennesaw State University
Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Statistical Hypothesis Testing, Statistical Analysis, Analysis, Statistical Inference, Process Analysis, Correlation Analysis, Data Analysis, Probability & Statistics, Risk Analysis, Regression Analysis, Sample Size Determination, Sampling (Statistics)
Status: NewStatus: Free TrialSkills you'll gain: PySpark, MySQL, Data Pipelines, Apache Spark, Data Processing, SQL, Data Transformation, Data Manipulation, Distributed Computing, Python Programming, Debugging
Status: Free TrialUniversidad Austral
Skills you'll gain: Relational Databases, Object-Relational Mapping, Database Management, Database Design, SQL, Databases, Data Persistence, Query Languages, Data Integrity, Data Manipulation, Python Programming, Computer Programming
Status: Free TrialThe Hong Kong University of Science and Technology
Skills you'll gain: Financial Regulation, Financial Regulations, Bank Regulations, FinTech, Financial Services, Financial Industry Regulatory Authorities, Mobile Banking, Regulatory Requirements, Fraud detection, Data Security, Cybersecurity, Insurance, Blockchain, Digital Forensics
Coursera
Skills you'll gain: Hypertext Markup Language (HTML), Web Development, Web Design and Development, Web Development Tools, Web Design
Status: Free TrialSkills you'll gain: Kotlin, Android Development, Android Studio, Unit Testing, Object Oriented Programming (OOP), Mobile Development, Test Driven Development (TDD), Software Testing, Functional Design
Status: PreviewSkills you'll gain: Digital Assets, Blockchain, Emerging Technologies, Business Transformation, Digital Transformation, Interoperability, Distributed Computing, Cryptography, Scalability, Business Strategy, Governance
Status: PreviewKorea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: NumPy, Python Programming, Artificial Intelligence, Programming Principles, Tensorflow, Data Structures, Development Environment, Computer Programming Tools, Data Manipulation
Status: Free TrialSkills you'll gain: Adobe Express, Social Media Content, Social Media, Content Creation, Social Media Strategy, Social Media Marketing, Content Performance Analysis, Social Media Management, Social Media Campaigns, Adobe Firefly, Intellectual Property, Target Audience, Web Content, Marketing Materials, Instagram, Drive Engagement, Target Market, Customer Engagement, Content Strategy, Branding
Status: Free TrialUniversity of California, Davis
Skills you'll gain: Spanish Language, Vocabulary, Language Learning, Grammar
Status: Free TrialSkills you'll gain: Security Management, Data Management, Security Controls
In summary, here are 10 of our most popular statistics for data science courses
- 3D CAD Application: National Taiwan University
- The Analyze Phase for the 6 σ Black Belt: Kennesaw State University
- PySpark & Python: Hands-On Guide to Data Processing: EDUCBA
- Manejo de bases de datos con Python: Universidad Austral
- FinTech Security and Regulation (RegTech): The Hong Kong University of Science and Technology
- Tables and Forms in HTML: Coursera
- Advanced Programming in Kotlin: Meta
- Web3 and Blockchain Fundamentals: INSEAD
- Practical Python for AI Coding 1: Korea Advanced Institute of Science and Technology(KAIST)
- Social Media Content and Strategy: Adobe
