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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
    G

    Google Cloud

    Google Cloud Digital Leader Training

    Skills you'll gain: Cloud Management, Serverless Computing, Google Cloud Platform, Digital Transformation, Data Governance, Cloud Services, Distributed Denial-Of-Service (DDoS) Attacks, Cloud Security, Cloud Infrastructure, Data Strategy, Application Programming Interface (API), Cloud Solutions, Real Time Data, Business Transformation, Data Management, Hybrid Cloud Computing, Data Warehousing, AI Enablement, Artificial Intelligence, Data Security

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

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Text Mining, Dimensionality Reduction, Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Feature Engineering, Applied Machine Learning, Algorithms, Keras (Neural Network Library)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Business Analytics Executive Overview

    Skills you'll gain: Business Analytics, Analytics, Data Analysis, Business Intelligence, Analytical Skills, Business Analysis, Advanced Analytics, Data-Driven Decision-Making, Trend Analysis, Predictive Analytics, Data Strategy, Data Warehousing, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    282 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Convolutional Neural Networks

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

    4.9
    Rating, 4.9 out of 5 stars
    ·
    43K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    É

    École Polytechnique

    Étudier en France: French Intermediate course B1-B2

    Skills you'll gain: Language Competency, Oral Comprehension, Language Learning, Grammar, Intercultural Competence, Higher Education, Oral Expression, Vocabulary, Writing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Supervised Learning, Bayesian Statistics, Logistic Regression, Statistical Modeling, Artificial Intelligence, Data Preprocessing, Deep Learning, Data Mining, Decision Tree Learning, Computer Vision, Statistical Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Mathematical Thinking in Computer Science

    Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Combinatorics, Algorithms, Python Programming, Computer Science, Program Development

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Java Programming: Solving Problems with Software

    Skills you'll gain: Debugging, Java, Algorithms, Java Programming, Program Development, Programming Principles, Statistical Analysis, Software Design, Computer Programming, Data Import/Export, Integrated Development Environments, File I/O, Data Processing, Software Documentation, Data Manipulation, Object Oriented Programming (OOP), API Design, Data Analysis, Software Testing, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Full Stack Software Developer

    Skills you'll gain: Prompt Engineering, Cloud Deployment, Software Development Life Cycle, Cloud-Native Computing, Istio, Software Architecture, Kubernetes, CI/CD, Cloud Computing Architecture, React Redux, Node.JS, Responsive Web Design, Restful API, Django (Web Framework), Git (Version Control System), Web Design and Development, Server Side, Cloud Computing, Data Import/Export, Engineering Software

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    59K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Algebra and Differential Calculus for Data Science

    Skills you'll gain: Algebra, Calculus, Graphing, Applied Mathematics, Data Science, Derivatives, Numerical Analysis, Mathematical Theory & Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    262 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Business Analyst

    Skills you'll gain: Data Storytelling, Risk Mitigation, Business Analysis, Business Process Modeling, Risk Analysis, Data Presentation, Interactive Data Visualization, Project Scoping, Data Visualization, Process Flow Diagrams, Stakeholder Analysis, Process Optimization, Prompt Engineering, Stakeholder Management, Digital Transformation, Responsible AI, Excel Formulas, Microsoft Excel, Business Analytics, Business Requirements

    4.7
    Rating, 4.7 out of 5 stars
    ·
    14K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Autoencoders, Feature Engineering, Unsupervised Learning, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Analysis, Machine Learning, Data Science, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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

  • Google Cloud Digital Leader Training: Google Cloud
  • Natural Language Processing: DeepLearning.AI
  • Business Analytics Executive Overview: University of Illinois Urbana-Champaign
  • Convolutional Neural Networks: DeepLearning.AI
  • Étudier en France: French Intermediate course B1-B2: École Polytechnique
  • Machine Learning: University of Washington
  • Mathematical Thinking in Computer Science: University of California San Diego
  • Java Programming: Solving Problems with Software: Duke University
  • IBM Full Stack Software Developer: IBM
  • Algebra and Differential Calculus for Data Science: University of Colorado Boulder

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