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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: Preview
    Preview
    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    734 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Social Media Management

    Skills you'll gain: Social Media Management, Social Media Marketing, Instagram, Social Media Strategy, Content Creation, Content Performance Analysis, Facebook, Generative AI Agents, Brand Management, Content Marketing, Content Management, Customer Engagement, Storytelling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Linear Regression for Business Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Inference, Business Analytics, Microsoft Excel, Model Evaluation, Estimation, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    K

    KodeKloud

    Deploy ML Models to Production

    Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Management, Data Security, Application Deployment, Personally Identifiable Information, Cloud Deployment, General Data Protection Regulation (GDPR), Continuous Deployment, Model Evaluation, Application Programming Interface (API)

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Capstone

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Predictive Modeling, Data Science, Analytical Skills, Data Analysis, Data Presentation, Data Collection, Data Storytelling, Data Cleansing, Statistical Analysis, Data Manipulation, Data Preprocessing, R Programming, Machine Learning, Natural Language Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.2K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    E

    Erasmus University Rotterdam

    Econometrics: Methods and Applications

    Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Logistic Regression, Data Analysis, Analytics, Statistical Analysis, Statistics, Case Studies, Forecasting, Model Evaluation, Probability, Linear Algebra, Peer Review

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimizing Models for Production

    Skills you'll gain: Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Performance Testing, Cross Platform Development, PyTorch (Machine Learning Library), Cloud Deployment, Applied Machine Learning, Application Performance Management, Development Environment, Hardware Architecture, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    T

    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Algorithms & Recursion

    Skills you'll gain: Cryptography, Algorithms, Theoretical Computer Science, Mathematical Theory & Analysis, Arithmetic, Computational Thinking, Public Key Cryptography Standards (PKCS), Data Structures, Applied Mathematics, Logical Reasoning, Deductive Reasoning

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Analyze Video Data Using OpenCV and Python

    Skills you'll gain: Machine Learning Methods, Motion Graphics

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Build & Evaluate Decision Trees for ML

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Applied Machine Learning, Java, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Feature Engineering, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Machine Learning, Algorithms

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Web Development for Beginners

    Skills you'll gain: Responsive Web Design, Color Theory, Version Control, Typography, HTML and CSS, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), GitHub, Git (Version Control System), Web Design, Web Design and Development, Web Development, Web Content Accessibility Guidelines, Front-End Web Development, Image Quality, Web Applications, Animations, Web Content, Mobile Development, User Interface (UI) Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    E

    Edureka

    Fundamentals of Data Governance

    Skills you'll gain: Data Governance, Governance, Data Management, Compliance Management, Data Architecture, General Data Protection Regulation (GDPR), Data Strategy, Regulatory Compliance, Data Security, Cloud Security, Metadata Management, Information Management, Regulatory Requirements, Data Integrity, Data Quality, Data Access, Cloud Computing, Risk Management

    4
    Rating, 4 out of 5 stars
    ·
    60 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Social Media Management : Meta
  • Linear Regression for Business Statistics: Rice University
  • Deploy ML Models to Production: KodeKloud
  • Data Science Capstone: Johns Hopkins University
  • Econometrics: Methods and Applications: Erasmus University Rotterdam
  • Optimizing Models for Production: Coursera
  • Discrete Math for Computer Science - Algorithms & Recursion: The Hong Kong University of Science and Technology
  • Analyze Video Data Using OpenCV and Python: EDUCBA
  • Build & Evaluate Decision Trees for ML: Coursera

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