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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


  • V

    Vanderbilt University

    Android App Development

    Skills you'll gain: Git (Version Control System), JUnit, Android Studio, Android Development, Unit Testing, Maintainability, Software Design Patterns, Test Automation, File I/O, Object Oriented Programming (OOP), Integration Testing, Test Driven Development (TDD), Mobile Development, Software Testing, Testability, Software Engineering, Java Programming, Java, Application Security, Development Testing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Michigan

    Building Web Applications in PHP

    Skills you'll gain: PHP (Scripting Language), Hypertext Markup Language (HTML), MySQL, Web Applications, Web Development, Cascading Style Sheets (CSS), Development Environment, Back-End Web Development, Database Development, Web Servers, Software Installation, Data Validation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.3K reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    The Mathematics of Democracy, Politics and Manipulation

    Skills you'll gain: Political Sciences, Policy Analysis, Social Justice, Social Sciences, Public Policies, Game Theory, Demography, Logical Reasoning, Applied Mathematics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Mixed · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Sequences, Time Series and Prediction

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Data Preprocessing, Artificial Neural Networks, Forecasting, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.8K reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google

    Think Outside the Inbox: Email Marketing

    Skills you'll gain: Email Marketing, Campaign Management, Copywriting, Marketing Strategy and Techniques, Email Automation, Personally Identifiable Information, Digital Marketing, Marketing Automation, Newsletters, HubSpot CRM, Marketing Analytics, Promotional Strategies, Data Ethics, A/B Testing, Smart Goals, Customer Retention, Key Performance Indicators (KPIs), Goal Setting

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Image Analysis, Data Preprocessing, Model Deployment, Computer Vision

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.2K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • P

    Packt

    Python Data Analysis

    Skills you'll gain: NumPy, Time Series Analysis and Forecasting, Scikit Learn (Machine Learning Library), Pandas (Python Package), Matplotlib, Data Analysis, Predictive Analytics, Data Visualization, Database Management, Applied Machine Learning, Scientific Visualization, Data Manipulation, Data Science, Statistics, Python Programming, Statistical Analysis, Data Wrangling, Big Data, NoSQL, Data Preprocessing

    Beginner · Course · 1 - 3 Months

  • C

    Copenhagen Business School

    Strategic Management and Innovation

    Skills you'll gain: Business Strategy, Business Planning, Case Studies, Strategic Decision-Making, Strategic Thinking, Plan Execution, Goal Setting, Resource Management, Organizational Strategy, Peer Review, Competitive Analysis, Strategic Leadership, Innovation, Organizational Structure, Strategic Planning, Market Analysis, Culture Transformation, Change Management, Business Strategies, Organizational Change

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • W

    Wesleyan University

    Data Analysis and Interpretation

    Skills you'll gain: Regression Analysis, Data Storytelling, Logistic Regression, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Presentation, Data Management, Data Analysis, Data Visualization, Model Evaluation, Statistical Methods, Machine Learning, Statistics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Michigan

    Applied Text Mining in Python

    Skills you'll gain: Text Mining, Data Preprocessing, Natural Language Processing, Pandas (Python Package), Scikit Learn (Machine Learning Library), Classification Algorithms, Feature Engineering, Data Manipulation, Python Programming, Unsupervised Learning, Supervised Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Introduction to Thermodynamics: Transferring Energy from Here to There

    Skills you'll gain: Mechanical Engineering, Thermal Management, Engineering, Energy and Utilities, Physics, Engineering Analysis, Systems Of Measurement, Physical Science, Process Analysis, Environmental Issue

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 3 Months

1…697071…834

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

  • Android App Development: Vanderbilt University
  • Building Web Applications in PHP: University of Michigan
  • The Mathematics of Democracy, Politics and Manipulation: Johns Hopkins University
  • Sequences, Time Series and Prediction: DeepLearning.AI
  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
  • Think Outside the Inbox: Email Marketing: Google
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Python Data Analysis: Packt
  • Strategic Management and Innovation: Copenhagen Business School
  • Data Analysis and Interpretation: Wesleyan University

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