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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


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    S

    Simplilearn

    Linear Algebra for ML and Analytics Training

    Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Feature Engineering, Applied Machine Learning, Analytics, Data Science, Unsupervised Learning

    Beginner · Course · 1 - 4 Weeks

  • I

    ISC2

    Security Concepts and Practices

    Skills you'll gain: Security Controls, Security Awareness, Change Control, Computer Security Awareness Training, Cybersecurity, Security Management, Data Security, Safety and Security, Cyber Security Policies, Data Ethics, Data Integrity, Identity and Access Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    110 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Core 2: OS, Software, Security and Operational Procedures

    Skills you'll gain: Operating Systems, Network Security, Microsoft Windows, Command-Line Interface, Systems Administration, System Support, Unix, Mac OS, System Configuration, Unix Commands, Network Troubleshooting, Linux, Firewall, Information Technology, Software Installation, Technical Support, Help Desk Support, Malware Protection, Mobile Security, Encryption

    4.7
    Rating, 4.7 out of 5 stars
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    71 reviews

    Intermediate · Course · 1 - 3 Months

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    E

    Edureka

    Mastering NLP: Tokenization, Sentiment Analysis & Neural MT

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Model Evaluation, Recurrent Neural Networks (RNNs), Classification Algorithms, Data Ethics, Responsible AI, Text Mining, Transfer Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Embeddings, Machine Learning, Data Analysis, Data Cleansing

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    EV Evolution: Comprehensive Introduction to EVs

    Skills you'll gain: Sustainable Technologies, Basic Electrical Systems, Electric Power Systems, Sustainable Development, Electrical Engineering, Emerging Technologies, Energy and Utilities, Climate Change Mitigation, Environmental Science, Environment

    4.3
    Rating, 4.3 out of 5 stars
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    69 reviews

    Beginner · Course · 1 - 4 Weeks

  • A

    Amazon Web Services

    DevOps and AI on AWS

    Skills you'll gain: Prompt Engineering, Amazon Bedrock, Responsible AI, Infrastructure as Code (IaC), Amazon CloudWatch, Application Deployment, Amazon Elastic Compute Cloud, CI/CD, AWS CloudFormation, Unit Testing, Continuous Deployment, Cloud Deployment, Continuous Integration, DevOps, Devops Tools, Code Review, Amazon Web Services, Serverless Computing, Containerization, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    45 reviews

    Beginner · Specialization · 1 - 3 Months

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    I

    Imperial College London

    Introduction to Android graphics

    Skills you'll gain: Computer Graphics, Android Development, Computer Graphic Techniques, Android Studio, 3D Assets, Virtual Reality, Animations

    4.2
    Rating, 4.2 out of 5 stars
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    73 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Generative AI: Impact on Business and Society

    Skills you'll gain: Consumer Behaviour, Responsible AI, Social Impact, Business Risk Management, Business Operations, Risk Analysis, Operations, Generative AI, AI Security, Environment Health And Safety, Customer experience improvement, Social Sciences, Governance, Leadership and Management

    4.9
    Rating, 4.9 out of 5 stars
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    55 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Java Primitive Types to Calculate Expenses

    Skills you'll gain: Java, Java Programming, Application Development, Programming Principles, Data Storage, Data Entry, Computer Programming, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    8 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Claude Code: Software Engineering with Generative AI Agents

    Skills you'll gain: Claude Code, Prompt Engineering, Multimodal Prompts, Version Control, AI Workflows, Generative AI Agents, Git (Version Control System), AI Orchestration, Quality Assurance, Generative AI, Software Quality Assurance, Software Development, Software Documentation, Artificial Intelligence, Software Development Life Cycle, Software Architecture, Automation, Software Testing, Software Design, Software Development Methodologies

    4.9
    Rating, 4.9 out of 5 stars
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    81 reviews

    Beginner · Course · 1 - 3 Months

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    J

    Johns Hopkins University

    Introduction to Uncertainty Quantification

    Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis

    5
    Rating, 5 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Leeds

    Fundamental Skills in Engineering Design

    Skills you'll gain: Engineering Design Process, Engineering Management, Requirements Elicitation, Product Lifecycle Management, Problem Solving, Product Design, Product Development, Engineering Practices, New Product Development, Product Requirements, Conceptual Design

    4.7
    Rating, 4.7 out of 5 stars
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    229 reviews

    Beginner · Course · 1 - 4 Weeks

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1…652653654…834

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

  • Linear Algebra for ML and Analytics Training: Simplilearn
  • Security Concepts and Practices: ISC2
  • Core 2: OS, Software, Security and Operational Procedures: IBM
  • Mastering NLP: Tokenization, Sentiment Analysis & Neural MT: Edureka
  • EV Evolution: Comprehensive Introduction to EVs: Coursera
  • DevOps and AI on AWS: Amazon Web Services
  • Introduction to Android graphics: Imperial College London
  • Generative AI: Impact on Business and Society: University of Michigan
  • Java Primitive Types to Calculate Expenses : Coursera
  • Claude Code: Software Engineering with Generative AI Agents: Vanderbilt University

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