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  • Statistics For Data Science

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: Preview
    Preview
    N

    Nanyang Technological University, Singapore

    Introduction to Forensic Science

    Skills you'll gain: Criminal Investigation and Forensics, Chemistry, Investigation, Biochemistry, Laboratory Testing, Laboratory Research, Pharmacology, Science and Research, Laboratory Procedures, Molecular Biology

    4.9
    Rating, 4.9 out of 5 stars
    ·
    2.8K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    The Bits and Bytes of Computer Networking

    Skills you'll gain: Computer Networking, Network Troubleshooting, Network Administration, TCP/IP, General Networking, Network Architecture, Routing Protocols, Network Protocols, Networking Hardware, OSI Models, Network Routers, Network Routing, Network Infrastructure, Dynamic Host Configuration Protocol (DHCP), Network Security, Wireless Networks, Network Model, Data Integrity

    4.7
    Rating, 4.7 out of 5 stars
    ·
    53K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Executive Data Science

    Skills you'll gain: Data Quality, Exploratory Data Analysis, Data Presentation, Employee Onboarding, Data Management, Statistical Reporting, Team Motivation, Technical Communication, Data Analysis, Project Management, Interviewing Skills, Data Science, New Hire Orientations, Data-Driven Decision-Making, Data Strategy, Management Training And Development, Organizational Leadership, Data Literacy, Leadership, Communication

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Michigan

    Successful Negotiation: Essential Strategies and Skills

    Skills you'll gain: Contract Negotiation, Negotiation, Price Negotiation, Mediation, Arbitration, Communication, Business Communication, Intercultural Competence, Conflict Management, Cultural Responsiveness, Cultural Sensitivity, Influencing, Business Ethics, Decision Making, Ethical Standards And Conduct, Planning, Constructive Feedback, Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Analyze Data to Answer Questions

    Skills you'll gain: Data Validation, Spreadsheet Software, Data Analysis, Data Manipulation, Analytical Skills, Consolidation, Excel Formulas, Query Languages, Data Compilation, Pivot Tables And Charts, Data Quality, SQL, Data Integration, Data Transformation, Data Processing, Database Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    12K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    PwC

    Data-driven Decision Making

    Skills you'll gain: Analytics, Business Analytics, Data Analysis, Data-Driven Decision-Making, Big Data, Business Intelligence Software, Data Analysis Software, Data Visualization, Statistical Programming, Microsoft Excel, Data Visualization Software, Decision Making, Data Collection, Unstructured Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Coding for Everyone: C and C++

    Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Programming Principles, Software Design Patterns, Computer Programming, Algorithms, C (Programming Language), Software Design, Program Development, Graph Theory, Code Reusability, Computational Logic, Artificial Intelligence, Data Structures, Memory Management, File I/O, Simulations

    4.5
    Rating, 4.5 out of 5 stars
    ·
    9.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google Cloud

    Professional Cloud Architect Part 1: Infra & Network

    Skills you'll gain: Identity and Access Management, Cloud Infrastructure, Google Cloud Platform, Prompt Engineering, Kubernetes, Application Deployment, Network Monitoring, Prompt Engineering Tools, Containerization, Infrastructure As A Service (IaaS), Cloud Deployment, Infrastructure Architecture, Cloud Computing Architecture, Virtual Networking, Cloud Computing, Network Architecture, Virtual Private Networks (VPN), Site Reliability Engineering, Infrastructure as Code (IaC), Cloud Security

    4.7
    Rating, 4.7 out of 5 stars
    ·
    59K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    B

    Ball State University

    Introduction to Data Science

    Skills you'll gain: Data Ethics, Data Collection, Probability & Statistics, Sampling (Statistics), R (Software), Data Science, R Programming, General Science and Research, Data Structures, Data Analysis, Information Privacy, Informed Consent, Social Impact, Ethical Standards And Conduct, Algorithms

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Architecting with Google Compute Engine

    Skills you'll gain: Identity and Access Management, Cloud Infrastructure, Google Cloud Platform, Prompt Engineering, Application Deployment, Kubernetes, Prompt Engineering Tools, Containerization, Infrastructure As A Service (IaaS), Cloud Deployment, Infrastructure Architecture, Cloud Computing Architecture, Cloud Computing, Cloud Solutions, Prompt Patterns, Virtual Machines, CI/CD, Cloud-Native Computing, Terraform, Cloud Applications

    4.7
    Rating, 4.7 out of 5 stars
    ·
    59K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Generative AI Learning Path

    Skills you'll gain: Responsible AI, LLM Application, Generative Model Architectures, AI literacy, AI Product Strategy, Deep Learning, Statistical Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Stanford University

    Writing in the Sciences

    Skills you'll gain: Concision, Writing and Editing, Grammar, Writing, Peer Review, Editing, Journalism, Proofreading, Journals, Science and Research, Storytelling, Communication Strategies, Organizational Skills

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9.8K reviews

    Beginner · Course · 1 - 3 Months

1…202122…834

In summary, here are 10 of our most popular statistics for data science courses

  • Introduction to Forensic Science: Nanyang Technological University, Singapore
  • The Bits and Bytes of Computer Networking: Google
  • Executive Data Science: Johns Hopkins University
  • Successful Negotiation: Essential Strategies and Skills: University of Michigan
  • Analyze Data to Answer Questions: Google
  • Data-driven Decision Making: PwC
  • Coding for Everyone: C and C++: University of California, Santa Cruz
  • Professional Cloud Architect Part 1: Infra & Network: Google Cloud
  • Introduction to Data Science: Ball State University
  • Architecting with Google Compute Engine: Google Cloud

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