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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


  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Data Preprocessing, Data Storage, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Science, Statistical Methods, Model Evaluation, Descriptive Statistics

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    Futuro de los datos y la tecnología - Echar un vistazo

    Skills you'll gain: Large Language Modeling, Image Analysis, Real Time Data, Computer Vision, Advanced Analytics, AI Enablement, Reinforcement Learning, Data Analysis, Data-Driven Decision-Making, Artificial Intelligence, Analysis, Machine Learning, Automation, Data Presentation, Natural Language Processing, Supervised Learning, Innovation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    558 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Applied Natural Language Processing in Engineering Part 1

    Skills you'll gain: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Artificial Intelligence, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Machine Learning, Unsupervised Learning, Dimensionality Reduction

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free
    Free
    A

    Amazon Web Services

    Increasing Application Security: Bedrock Guardrails & GenAI

    Skills you'll gain: Amazon Bedrock, AI Security, Prompt Engineering, Generative AI, Computer Security, Secure Coding, Security Engineering, Hardening, Application Security, Cyber Engineering, Responsible AI, Security Testing, Threat Modeling, Security Controls

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to HTML5

    Skills you'll gain: Hypertext Markup Language (HTML), Web Design, Web Content Accessibility Guidelines, Web Design and Development, Usability, Semantic Web, Cascading Style Sheets (CSS), Cloud Hosting, Web Servers, Data Validation, Web Development Tools

    4.7
    Rating, 4.7 out of 5 stars
    ·
    28K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Università Bocconi

    Food & Beverage Management

    Skills you'll gain: Food and Beverage, Hospitality Management, Restaurant Management, Product Quality (QA/QC), Global Marketing, Market Dynamics, Business Strategy, Consumer Behaviour, Value Propositions, Competitive Analysis, Brand Management, Growth Strategies, Marketing

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

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    New York University

    Machine Learning and Reinforcement Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Deep Learning, Market Liquidity, Tensorflow

    3.7
    Rating, 3.7 out of 5 stars
    ·
    819 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Regression Analysis: Simplify Complex Data Relationships

    Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Hypothesis Testing, Data Analysis, Advanced Analytics, Statistical Analysis, Correlation Analysis, Analytical Skills, Business Analytics, Statistical Modeling, Model Evaluation, Variance Analysis, Predictive Modeling, Machine Learning, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    576 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Applied Machine Learning, Keras (Neural Network Library), Embeddings, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad Nacional Autónoma de México

    Estadística y probabilidad

    Skills you'll gain: Descriptive Statistics, Data Analysis, Correlation Analysis, Statistical Analysis, Data Presentation, Statistical Visualization, Probability, Histogram, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, Box Plots, Graphing, Scatter Plots

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Web Development Fundamentals

    Skills you'll gain: Django (Web Framework), Responsive Web Design, Cascading Style Sheets (CSS), HTML and CSS, Back-End Web Development, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), SQL, Database Design, Databases, Front-End Web Development, Database Administration, Unit Testing, MySQL, Web Development, Computer Programming, Pseudocode, Communication

    4.7
    Rating, 4.7 out of 5 stars
    ·
    17K reviews

    Beginner · Specialization · 3 - 6 Months

1…585960…834

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

  • Scalable Machine Learning on Big Data using Apache Spark: IBM
  • Futuro de los datos y la tecnología - Echar un vistazo : Real Madrid Graduate School Universidad Europea
  • MLOps | Machine Learning Operations: Duke University
  • Applied Natural Language Processing in Engineering Part 1: Northeastern University
  • Increasing Application Security: Bedrock Guardrails & GenAI: Amazon Web Services
  • Introduction to HTML5: University of Michigan
  • Food & Beverage Management: Università Bocconi
  • Machine Learning and Reinforcement Learning in Finance: New York University
  • Regression Analysis: Simplify Complex Data Relationships: Google
  • Natural Language Processing with Attention Models: DeepLearning.AI

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