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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: New
    New
    Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Generative AI Software Engineering

    Skills you'll gain: Claude Code, Prompt Engineering, ChatGPT, Generative AI Agents, Prompt Patterns, Generative AI, Multimodal Prompts, AI Workflows, AI Orchestration, LLM Application, Productivity, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Software Engineering, Software Development Tools, Software Development, Software Architecture, Automation, Software Testing, Software Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    V

    Vanderbilt University

    Change Management for Generative AI

    Skills you'll gain: Change Management, Organizational Change, Responsible AI, AI Enablement, Business Transformation, Generative AI, Workforce Development, Innovation, Stakeholder Management, Employee Training, Leadership, Cross-Functional Collaboration, Communication

    4.3
    Rating, 4.3 out of 5 stars
    ·
    146 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Google Cloud Fundamentals: Core Infrastructure

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Prompt Engineering, Kubernetes, Containerization, Cloud Storage, Cloud Services, Identity and Access Management, Application Deployment, Virtual Machines, Virtual Networking, Cloud Computing, Application Development, Generative AI Agents, Data Storage Technologies, Cloud Computing Architecture, Network Infrastructure, Serverless Computing, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Communicating Data Science Results

    Skills you'll gain: Data Ethics, Statistical Visualization, Data Storytelling, Data Visualization Software, Data Governance, Big Data, Technical Communication, Cloud Computing, Amazon Web Services, Information Privacy, Ethical Standards And Conduct

    3.4
    Rating, 3.4 out of 5 stars
    ·
    142 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Getting started with TensorFlow 2

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Convolutional Neural Networks, Transfer Learning, Supervised Learning, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    580 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Connect and Protect: Networks and Network Security

    Skills you'll gain: Network Security, Hardening, Network Protocols, Cloud Security, Network Architecture, Intrusion Detection and Prevention, TCP/IP, Vulnerability Assessments, Computer Networking, Cybersecurity, Network Infrastructure, Firewall, Cloud Computing, Virtual Private Networks (VPN), Encryption

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Foundations of Sports Analytics: Data, Representation, and Models in Sports

    Skills you'll gain: Regression Analysis, Data Cleansing, Correlation Analysis, Data Preprocessing, Matplotlib, Statistical Analysis, Scatter Plots, R Programming, Data Analysis, Statistical Inference, Descriptive Statistics, Pandas (Python Package), Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    202 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Apply Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Responsible AI, Data Ethics, Unsupervised Learning, Information Privacy, Data Synthesis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    547 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Functional Programming in Scala Capstone

    Skills you'll gain: Scala Programming, User Interface (UI), Data Processing, Heat Maps, Interactive Data Visualization, Real Time Data, Big Data, Visualization (Computer Graphics), Geospatial Information and Technology, Geospatial Mapping, Data Manipulation, Data Transformation, Apache Spark, Spatial Data Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    547 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Introduction to Data, Signal, and Image Analysis with MATLAB

    Skills you'll gain: Image Analysis, Data Visualization Software, Matlab, Applied Machine Learning, Scatter Plots, Digital Signal Processing, Data Analysis, Histogram, Predictive Modeling, Data Processing, Classification Algorithms, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    231 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    415 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Generative AI Software Engineering: Vanderbilt University
  • Change Management for Generative AI: Vanderbilt University
  • Google Cloud Fundamentals: Core Infrastructure: Google Cloud
  • Communicating Data Science Results: University of Washington
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • Getting started with TensorFlow 2: Imperial College London
  • Connect and Protect: Networks and Network Security: Google
  • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
  • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
  • Functional Programming in Scala Capstone: École Polytechnique Fédérale de Lausanne

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