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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
    A

    Arizona State University

    Modern Statistics for Data-Driven Decision-Making

    Skills you'll gain: Statistical Methods, Bayesian Statistics, Statistics, Probability & Statistics, Data Storage Technologies, Analytical Skills, Exploratory Data Analysis, Data Storage, Database Software, Estimation, Data-Driven Decision-Making, Applied Machine Learning, Supervised Learning, Markov Model, Logistic Regression, Statistical Hypothesis Testing, Predictive Modeling, Simulations, Simulation and Simulation Software, Regression Testing

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Illinois Urbana-Champaign

    Introduction to Sustainability

    Skills you'll gain: Environmental Policy, Sustainable Development, Environment, Water Resources, Demography, Energy and Utilities, Environmental Science, Environmental Resource Management, Sustainability Standards, Sustainable Engineering, Water Resource Management, Social Sciences, Climate Change Adaptation, Economics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Python Packages for Data Science

    Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Data Manipulation, Data Science, Histogram, Package and Software Management, Data Import/Export, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    78 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    The Path to Insights: Data Models and Pipelines

    Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Data Pipelines, Business Intelligence, Data Mart, Database Management, Data Management, Process Optimization, Data Quality, Data Transformation, Performance Testing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    715 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google

    Google IT Support

    Skills you'll gain: IT Security Architecture, Computer Networking, Operating System Administration, Package and Software Management, Network Troubleshooting, Version Control, IT Automation, Systems Administration, IT Infrastructure, Information Systems Security, TCP/IP, Git (Version Control System), Chef (Configuration Management Tool), Network Security, Ruby (Programming Language), File Systems, Computer Hardware, Technical Support, Interviewing Skills, Applicant Tracking Systems

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    213K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Learning for Data Science

    Skills you'll gain: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Data Science, Decision Tree Learning, Statistical Methods, Artificial Neural Networks, Statistical Analysis, Statistical Machine Learning, Regression Analysis, Predictive Modeling, Classification Algorithms, Supervised Learning, R Programming, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning, Random Forest Algorithm

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
    ·
    21 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Software Architecture, Computer Vision, LangChain, ChatGPT, Restful API, Responsive Web Design, LLM Application, Generative AI, IBM Cloud, Data Ethics, Data Import/Export, AI Workflows, Python Programming, Engineering Software, Machine Learning, Data Science

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    81K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Supervised Learning, Generative AI Agents, Model Evaluation, Data Analysis, Flask (Web Framework), Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    99K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Virginia

    Design Thinking for Innovation

    Skills you'll gain: Design Thinking, Creative Problem-Solving, Ideation, Innovation, Creativity, Strategic Thinking, Case Studies, Market Opportunities, Human Centered Design, Curiosity, Storytelling, Growth Mindedness, Business Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Deep Teaching Solutions

    Learning How to Learn: Powerful mental tools to help you master tough subjects

    Skills you'll gain: Learning Strategies, Lifelong Learning, Time Management, Willingness To Learn, Productivity, Creativity, Self-Discipline, Stress Management, Self-Awareness, Adaptability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    93K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Skills for Business: Advanced

    Skills you'll gain: Excel Formulas, Dashboard, Microsoft Excel, Spreadsheet Software, Data Preprocessing, Data Literacy, Data Manipulation, Data Presentation, Excel Macros, Data Storytelling, Data Analysis Software, Business Analytics, Pivot Tables And Charts, Financial Forecasting, Analytical Skills, Advanced Analytics, Business Mathematics, Financial Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Digital Marketing

    Skills you'll gain: Prompt Engineering, Responsible AI, Prompt Patterns, ChatGPT, Generative AI, Digital Advertising, Email Marketing, Data Ethics, Digital Marketing, Search Engine Optimization, Marketing Automation, AI Personalization, Advertising Campaigns, Marketing, Marketing Strategies, Content Creation, Web Analytics and SEO, Search Engine Marketing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Modern Statistics for Data-Driven Decision-Making: Arizona State University
  • Introduction to Sustainability: University of Illinois Urbana-Champaign
  • Python Packages for Data Science: University of Colorado Boulder
  • The Path to Insights: Data Models and Pipelines: Google
  • Google IT Support: Google
  • Statistical Learning for Data Science: University of Colorado Boulder
  • IBM AI Developer: IBM
  • IBM Generative AI Engineering: IBM
  • Design Thinking for Innovation: University of Virginia
  • Learning How to Learn: Powerful mental tools to help you master tough subjects: Deep Teaching Solutions

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