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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.


More to explore:

Popular Statistics For Data Science Courses and Certifications


  • J

    Johns Hopkins University

    Gestión del análisis de datos

    Skills you'll gain: Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Data Management, Data Strategy, Management Reporting, Analytical Skills, Statistical Inference, Statistical Modeling, Data Presentation, Team Leadership, Statistical Methods, Communication

    4.6
    Rating, 4.6 out of 5 stars
    ·
    104 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Build your first Machine Learning Pipeline using Dataiku

    Skills you'll gain: Data Import/Export, Model Evaluation, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Data Pipelines, Data Manipulation, Data Preprocessing, Machine Learning, Time Series Analysis and Forecasting

    4.5
    Rating, 4.5 out of 5 stars
    ·
    60 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • M

    Microsoft

    Automation & Advanced Techniques with Copilot in Excel

    Skills you'll gain: Excel Macros, Dashboard, Forecasting, Microsoft Copilot, Microsoft Excel, UI Components, Visual Basic (Programming Language), Data Analysis Expressions (DAX), User Interface (UI), Automation, Debugging, Scenario Testing, Programming Principles

    4.5
    Rating, 4.5 out of 5 stars
    ·
    54 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning with TensorFlow Google Cloud 日本語版

    Skills you'll gain: Feature Engineering, Data Preprocessing, Model Deployment, Tensorflow, Google Cloud Platform, Data Quality, Keras (Neural Network Library), Model Evaluation, Scikit Learn (Machine Learning Library), Embeddings, Exploratory Data Analysis, Supervised Learning, MLOps (Machine Learning Operations), Machine Learning, Cloud Deployment, AI Enablement, Big Data, Data Transformation, Applied Machine Learning, Artificial Neural Networks

    4.4
    Rating, 4.4 out of 5 stars
    ·
    152 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Toronto

    Transformational Leadership for Inclusive Innovation

    Skills you'll gain: Organizational Change, Influencing, Leadership, Diversity and Inclusion, Change Management, Team Management, Advocacy, Innovation, Cultural Diversity, Stakeholder Management, Empathy & Emotional Intelligence

    4.8
    Rating, 4.8 out of 5 stars
    ·
    115 reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    AI and Machine Learning Algorithms and Techniques

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Dimensionality Reduction

    4.7
    Rating, 4.7 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Microsoft Azure: Cloud Solutions Mastery

    Skills you'll gain: Responsible AI, Azure Active Directory, Microsoft Azure, Data Lakes, Platform As A Service (PaaS), Cloud Computing, Data Integration, Relational Databases, AI Personalization, Cloud Applications, Cloud Development, Power BI, Performance Tuning, Microsoft Visual Studio, Model Deployment, Cloud Computing Architecture, Anomaly Detection, Cloud Platforms, Cloud Services, Cloud Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    219 reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Data Engineering Career Guide and Interview Preparation

    Skills you'll gain: Professional Networking, Technical Communication, Professional Development, Relationship Building, Data Infrastructure, Data Warehousing, Data Pipelines, Data Processing, Professionalism, Data Storage, Verbal Communication Skills, Communication Strategies, Problem Solving

    4.7
    Rating, 4.7 out of 5 stars
    ·
    98 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Introduction to Artificial Intelligence

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Applied Machine Learning, Deep Learning, Responsible AI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Regression Analysis, Law, Regulation, and Compliance, Classification Algorithms, Business Ethics, Governance

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    61 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IE Business School

    Marketing Strategy Capstone Project

    Skills you'll gain: Market Analysis, Peer Review, Case Studies, Marketing Planning, Marketing Management, Strategic Marketing, Hospitality Management, Consumer Behaviour, Marketing Strategy and Techniques, Marketing Effectiveness, Marketing Operations, Target Market, Competitive Analysis, Business

    4.6
    Rating, 4.6 out of 5 stars
    ·
    119 reviews

    Beginner · Course · 1 - 3 Months

  • U

    Universidad Austral

    La enseñanza de las Ciencias Naturales en la escuela primaria

    Skills you'll gain: Student Engagement, Teaching, General Science and Research, Pedagogy, Scientific Methods, Biology, Experimentation, Diversity Awareness

    4.8
    Rating, 4.8 out of 5 stars
    ·
    130 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    The Need for Systems Engineering

    Skills you'll gain: Model Based Systems Engineering, Systems Engineering, Requirements Analysis, Test Engineering, Systems Thinking, Systems Architecture, Test Planning, Systems Analysis, Functional Requirement, Risk Management Framework, System Testing, System Requirements, Verification And Validation

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    92 reviews

    Beginner · Course · 1 - 3 Months

1…560561562…834

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

  • Gestión del análisis de datos: Johns Hopkins University
  • Build your first Machine Learning Pipeline using Dataiku : Coursera
  • Automation & Advanced Techniques with Copilot in Excel: Microsoft
  • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
  • Transformational Leadership for Inclusive Innovation: University of Toronto
  • AI and Machine Learning Algorithms and Techniques: Microsoft
  • Microsoft Azure: Cloud Solutions Mastery: EDUCBA
  • Data Engineering Career Guide and Interview Preparation: IBM
  • Introduction to Artificial Intelligence: University of Illinois Urbana-Champaign
  • Marketing Strategy Capstone Project: IE Business School

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