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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


  • U

    University of Pennsylvania

    Ancient Philosophy: Aristotle and His Successors

    Skills you'll gain: Ancient History, Liberal Arts, Ethical Standards And Conduct, Research, European History, World History, Anthropology, Political Sciences, Psychology

    4.8
    Rating, 4.8 out of 5 stars
    ·
    776 reviews

    Mixed · Course · 1 - 3 Months

  • A

    Arizona State University

    Design of Experiments

    Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Regression Analysis, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Modeling, Statistical Hypothesis Testing, Design Strategies, Sampling (Statistics), Probability & Statistics, Mathematical Modeling, Analysis, Model Evaluation, Data Transformation, Descriptive Statistics, Probability Distribution, Variance Analysis, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    381 reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IESE Business School

    The Art of Storytelling

    Skills you'll gain: Storytelling, Public Speaking, Oral Expression, Presentations, Verbal Communication Skills, Persuasive Communication, Content Creation, Drive Engagement, Writing, Non-Verbal Communication, Active Listening

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Classification Algorithms, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Data Validation, Machine Learning, Decision Tree Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Advanced Linear Models for Data Science 1: Least Squares

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
    ·
    190 reviews

    Advanced · Course · 1 - 3 Months

  • A

    Amazon Web Services

    Building Data Lakes on AWS

    Skills you'll gain: Data Lakes, Data Visualization, Data Architecture, Amazon Web Services, Data Engineering, Data Infrastructure, Data Warehousing, Data Processing, Amazon S3, Query Languages, AWS Identity and Access Management (IAM), Data Management, Data Transformation, Data Governance, Data Import/Export, Data Storage, Data Science, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    308 reviews

    Beginner · Course · 1 - 3 Months

  • T

    Technion - Israel Institute of Technology

    Cracking the Creativity Code: Discovering Ideas

    Skills you'll gain: Ideation, Brainstorming, Innovation, Creative Problem-Solving, Creative Thinking, Creativity, Operations Management, Resourcefulness, Thought Leadership, Problem Solving, Strategic Thinking, Visionary, Curiosity, Solution Delivery, Presentations, Persistence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1K reviews

    Mixed · Course · 1 - 3 Months

  • L

    Ludwig-Maximilians-Universität München (LMU)

    Advanced Competitive Strategy

    Skills you'll gain: Mergers & Acquisitions, Customer Retention, Business Strategy, Growth Strategies, Compliance Management, Competitive Analysis, Strategic Partnership, Product Strategy, New Business Development, Market Dynamics, Market Analysis, Marketing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    882 reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Predictive Modeling and Analytics

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Logistic Regression, Exploratory Data Analysis, Data Visualization, Data Modeling, Data Presentation, Business Analytics, Data Analysis, Statistical Modeling, Regression Analysis, Classification Algorithms, Microsoft Excel, Supervised Learning, Decision Tree Learning, Data Cleansing, Artificial Neural Networks

    3.6
    Rating, 3.6 out of 5 stars
    ·
    605 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure

    Skills you'll gain: Cloud Infrastructure, Cloud Services, Cloud Computing, Cloud Storage, Cloud Platforms, Infrastructure As A Service (IaaS), Data Storage, Middleware, Containerization, Virtualization, Virtual Machines, Cloud Applications, Amazon S3, Platform As A Service (PaaS), Scalability

    4.3
    Rating, 4.3 out of 5 stars
    ·
    846 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Discounted Cash Flow Modeling

    Skills you'll gain: Financial Forecasting, Business Valuation, Equities, Financial Modeling, Financial Analysis, Finance, Cash Flows, Investment Banking, Accounting, Capital Markets

    4.3
    Rating, 4.3 out of 5 stars
    ·
    827 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    Universidad de Palermo

    Inteligencia Artificial y Futuro del Trabajo

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Team Leadership, ChatGPT, Workforce Development, Responsible AI, Business Strategy, Telecommuting, Business Planning, Predictive Modeling, Technology Strategies, Professional Development, Digital Transformation, Business Transformation, Innovation, Leadership, Business Technologies, Business, Artificial Intelligence, Data Science

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Ancient Philosophy: Aristotle and His Successors: University of Pennsylvania
  • Design of Experiments: Arizona State University
  • The Art of Storytelling: IESE Business School
  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
  • Building Data Lakes on AWS: Amazon Web Services
  • Cracking the Creativity Code: Discovering Ideas: Technion - Israel Institute of Technology
  • Advanced Competitive Strategy: Ludwig-Maximilians-Universität München (LMU)
  • Predictive Modeling and Analytics : University of Colorado Boulder
  • Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure: University of Illinois Urbana-Champaign

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