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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: Free Trial
    Free Trial
    I

    Institute for the Future

    Ready, Set, Future! Introduction to Futures Thinking

    Skills you'll gain: Forecasting, Innovation, Proactivity, Strategic Thinking, Creative Thinking, Optimism, Systems Thinking, Trend Analysis, Creativity, Professional Development, Leadership, Collaboration, Analysis, Emerging Technologies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    SAS

    Statistics with SAS

    Skills you'll gain: Logistic Regression, SAS (Software), Statistical Hypothesis Testing, Statistical Software, Statistical Analysis, Predictive Modeling, Statistical Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Probability & Statistics, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    301 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Analyzing and Visualizing Data in Looker

    Skills you'll gain: Looker (Software), Dashboard, Data Visualization Software, Data Analysis, Data Sharing, Data Presentation, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    370 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM JavaScript Backend Developer

    Skills you'll gain: Cloud Deployment, Software Development Life Cycle, Open Web Application Security Project (OWASP), Containerization, Istio, Software Architecture, Node.JS, Application Deployment, Restful API, Kubernetes, Database Design, Cloud-Native Computing, Responsive Web Design, NoSQL, Git (Version Control System), Ajax, Grafana, Javascript, Azure DevOps, Engineering Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.8K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Digital Marketing and E-commerce

    Skills you'll gain: Data Storytelling, Performance Measurement, Search Engine Marketing, Content Performance Analysis, Data-Driven Decision-Making, Search Engine Optimization, Branding, Web Analytics and SEO, Business Metrics, Marketing Strategy and Techniques, Digital Marketing, Customer Engagement, Customer experience strategy (CX), Digital Advertising, Marketing, E-Commerce, Email Marketing, Brand Awareness, Marketing Analytics, Social Media Marketing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    31K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cluster Analysis in Data Mining

    Skills you'll gain: Unsupervised Learning, Data Mining, Applied Machine Learning, Machine Learning Algorithms, Model Evaluation, Statistical Methods, Algorithms, Data Structures, Data Visualization

    4.5
    Rating, 4.5 out of 5 stars
    ·
    408 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI For Medical Treatment

    Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Treatment Planning, Data Analysis, Model Evaluation, Applied Machine Learning, Patient Treatment, AI Personalization, Machine Learning, Text Mining, Health Informatics, Medical Terminology, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    531 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Software Engineering

    Skills you'll gain: Software Development Life Cycle, Software Architecture, Software Design, Software Development Methodologies, Software Design Patterns, Development Environment, Unified Modeling Language, Software Engineering, Web Applications, Software Development Tools, Software Development, Application Deployment, Programming Principles, Front-End Web Development, Back-End Web Development, Software Documentation, Computer Programming, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.5K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning

    Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    283 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 Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    846 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI Applications in Marketing and Finance

    Skills you'll gain: AI Personalization, Fraud detection, Big Data, Credit Risk, Risk Management, Digital Transformation, Customer Insights, Machine Learning, Marketing Analytics, AI Enablement, Data-Driven Decision-Making, Applied Machine Learning, Financial Data, Customer experience improvement, Artificial Intelligence, Analytics, Retail Banking, Data Science, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    477 reviews

    Mixed · Course · 1 - 4 Weeks

Searches related to statistics for data science

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1…909192…834

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

  • Ready, Set, Future! Introduction to Futures Thinking: Institute for the Future
  • Statistics with SAS: SAS
  • Analyzing and Visualizing Data in Looker: Google Cloud
  • IBM JavaScript Backend Developer: IBM
  • Foundations of Digital Marketing and E-commerce: Google
  • Cluster Analysis in Data Mining: University of Illinois Urbana-Champaign
  • AI For Medical Treatment: DeepLearning.AI
  • Introduction to Software Engineering: IBM
  • Microsoft Azure Machine Learning: Microsoft
  • Google Cloud Fundamentals: Core Infrastructure: Google Cloud

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