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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


  • C

    Coursera

    Unpacking Unconscious Bias in the Workplace

    Skills you'll gain: Workplace inclusivity, Diversity and Inclusion, Self-Awareness, Decision Making, Cultural Diversity, Culture, Empathy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 4 Weeks

  • É

    École Polytechnique Fédérale de Lausanne

    Enseignes et afficheurs à LED

    Skills you'll gain: Field-Programmable Gate Array (FPGA), Computer Displays, Display Devices, Electronics, Electronic Systems, Electronics Engineering, Hardware Design, Semiconductors, Electronic Hardware, Electronic Components, Computational Logic, Embedded Systems, Power Electronics, Embedded Software, Programmable Logic Controllers, Basic Electrical Systems, Remote Access Systems, Control Systems, C (Programming Language), Animations

    4.2
    Rating, 4.2 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 3 Months

  • S

    SkillUp

    Program Management: Prepare for PMI-PgMP Certification Exam

    Skills you'll gain: Program Management, Project Management, Project Management Life Cycle, Project Management Institute (PMI) Methodology, Benefits Administration, Organizational Strategy, Governance, Stakeholder Engagement, Risk Management, Test Planning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    28 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Peking University

    面向对象技术高级课程(The Advanced Object-Oriented Technology)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 3 - 6 Months

  • P

    Packt

    Git and GitHub Complete Master Class

    Skills you'll gain: GitHub, Git (Version Control System), Version Control, Unix Commands, Unix Shell, Software Versioning, Linux Commands, Command-Line Interface, Devops Tools, Collaborative Software, Code Review, Software Configuration Management, Software Development Tools, Secure Coding, File Management, Technical Documentation, Software Documentation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    32 reviews

    Intermediate · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Practical Multi AI Agents and Advanced Use Cases with crewAI

    Skills you'll gain: CrewAI, AI Workflows, Agentic Workflows, AI Orchestration, LLM Application, Large Language Modeling, Generative AI Agents, Tool Calling, Agentic systems, Model Deployment, Automation, Application Deployment, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    23 reviews

    Beginner · Project · Less Than 2 Hours

  • C

    Codio

    Software Testing for Developers

    Skills you'll gain: Jest (JavaScript Testing Framework), User Acceptance Testing (UAT), Cucumber (Software), Postman API Platform, Software Testing, Behavior-Driven Development, Test Tools, Selenium (Software), Test Driven Development (TDD), API Testing, Unit Testing, Performance Testing, Functional Testing, Test Automation, Web Development Tools, Usability Testing, User Interface (UI), Test Case, Javascript

    4.2
    Rating, 4.2 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • A

    Amazon Web Services

    Serverless Architectures on AWS

    Skills you'll gain: AWS CloudFormation, Serverless Computing, Infrastructure as Code (IaC), Amazon Web Services, API Gateway, Application Programming Interface (API), Cloud Infrastructure, Event-Driven Programming, Cloud Deployment, Authentications, Amazon S3, Automation, Amazon DynamoDB, Scalability

    4.9
    Rating, 4.9 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Michigan

    NumPy and Pandas Basics for Future Data Scientists

    Skills you'll gain: Debugging, Data Analysis, Data Preprocessing, Numerical Analysis, Critical Thinking

    4.1
    Rating, 4.1 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Warehousing: Schema, ETL, Optimal Performance

    Skills you'll gain: Data Warehousing, Extract, Transform, Load, Snowflake Schema, Star Schema, Business Intelligence, Data Modeling, Database Design, Data Management, Data Integration, Performance Tuning, Databases, Data Transformation, Scalability

    4.1
    Rating, 4.1 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    AngularJS for Beginners: Getting Started

    Skills you'll gain: Angular, Development Environment, Program Development, Web Development Tools, JavaScript Frameworks, Javascript, Web Components, Front-End Web Development, Web Development

    4.3
    Rating, 4.3 out of 5 stars
    ·
    21 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • F

    Fortinet, Inc.

    FortiManager Administrator

    Skills you'll gain: Network Administration, Network Infrastructure, Configuration Management, Network Security, System Implementation, Authentications, Scripting, Enterprise Security

    4.4
    Rating, 4.4 out of 5 stars
    ·
    28 reviews

    Intermediate · Course · 1 - 3 Months

1…811812813…834

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

  • Unpacking Unconscious Bias in the Workplace: Coursera
  • Enseignes et afficheurs à LED: École Polytechnique Fédérale de Lausanne
  • Program Management: Prepare for PMI-PgMP Certification Exam: SkillUp
  • 面向对象技术高级课程(The Advanced Object-Oriented Technology): Peking University
  • Git and GitHub Complete Master Class: Packt
  • Practical Multi AI Agents and Advanced Use Cases with crewAI: DeepLearning.AI
  • Software Testing for Developers: Codio
  • Serverless Architectures on AWS: Amazon Web Services
  • NumPy and Pandas Basics for Future Data Scientists: University of Michigan
  • Data Warehousing: Schema, ETL, Optimal Performance: Coursera

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