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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
    C

    Coursera

    GenAI for Everyone

    Skills you'll gain: Generative AI, AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Artificial Intelligence, Creative Problem-Solving, HR Tech, Marketing, Information Privacy, Critical Thinking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    130 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Getting Started with Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Microsoft Office, Data Entry, Microsoft 365

    4.6
    Rating, 4.6 out of 5 stars
    ·
    13K reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    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, Data Literacy, Machine Learning, Statistics

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

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Accomplishment STAR Techniques for Job Interviews

    Skills you'll gain: Interviewing Skills, Storytelling, Problem Solving, Professional Development, Initiative and Leadership, Concision, Verbal Communication Skills, Teamwork, Job Analysis, Communication, Business Writing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    420 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Differential Equations for Engineers

    Skills you'll gain: Differential Equations, Engineering Analysis, Applied Mathematics, Calculus, Integral Calculus, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Vibrations, Electrical Engineering, Derivatives

    4.9
    Rating, 4.9 out of 5 stars
    ·
    2.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI Strategy and Governance

    Skills you'll gain: Responsible AI, Data Ethics, AI Enablement, AI Product Strategy, Data Governance, Business Strategies, Data Security, Governance, Business Transformation, Artificial Intelligence, Risking, Big Data, Innovation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    394 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Data Analysis, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    495 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Plotting, Charting & Data Representation in Python

    Skills you'll gain: Matplotlib, Data Visualization, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Visualization (Computer Graphics), Statistical Visualization, Data Presentation, Graphing, Scatter Plots, Data Manipulation, Histogram, NumPy, Pandas (Python Package), Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    2

    28DIGITAL

    Data Science for Business Innovation

    Skills you'll gain: Data Strategy, Data-Driven Decision-Making, Big Data, Data Science, NoSQL, Data Modeling, Data Storage Technologies, Analytics, Business Analytics, Data Analysis, Risking, Machine Learning, Unsupervised Learning, Regression Analysis, Descriptive Analytics, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    271 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Accelerated Computer Science Fundamentals

    Skills you'll gain: C++ (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Graph Theory, Development Environment, Data Storage, Engineering Software, Unstructured Data, Computer Programming, Algorithms, Data Storage Technologies, Debugging, Program Development, Database Systems, Database Theory, Network Routing, Theoretical Computer Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Prepare Data for Exploration

    Skills you'll gain: Data Ethics, Data Analysis, Data Literacy, Data Security, Google Sheets, Databases, Data Storage, Data Quality, Data Management, Data Collection, SQL, Data Import/Export, Metadata Management, Unstructured Data

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Continuous Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • GenAI for Everyone: Coursera
  • Getting Started with Microsoft Excel: Coursera
  • Data Analysis and Interpretation: Wesleyan University
  • Accomplishment STAR Techniques for Job Interviews: Coursera
  • Differential Equations for Engineers: The Hong Kong University of Science and Technology
  • AI Strategy and Governance: University of Pennsylvania
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Applied Plotting, Charting & Data Representation in Python: University of Michigan
  • Data Science for Business Innovation: 28DIGITAL
  • Accelerated Computer Science Fundamentals: University of Illinois Urbana-Champaign

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