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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
    U

    Unilever

    Supply Chain Management and Analytics

    Skills you'll gain: Supply Chain, Demand Planning, Supply Chain Management, Supply Chain Planning, Process Improvement, Process Improvement and Optimization, Supply Management, Performance Improvement, Customer Demand Planning, Logistics Management, Resource Planning, Production Planning, Sustainable Business, Logistics, Analytics, Profit and Loss (P&L) Management, Data Analysis, Risk Management, Data Visualization, Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    574 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Corporate Finance I: Measuring and Promoting Value Creation

    Skills you'll gain: Mergers & Acquisitions, Financial Analysis, Financial Statement Analysis, Finance, Financial Statements, Financial Modeling, Return On Investment, Capital Budgeting, Corporate Finance, Balance Sheet, Business Valuation, Cash Flow Forecasting, Cash Flows, Financial Forecasting, Working Capital, Performance Measurement, Private Equity, Performance Analysis, Risk Management, Risk Analysis

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Recommender Systems

    Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Machine Learning Methods, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Test Data, Machine Learning, Dimensionality Reduction, Performance Metric, Performance Testing, Spreadsheet Software, Analysis, Systems Design, Solution Design, Predictive Modeling, Microsoft Excel, Statistical Methods

    4.3
    Rating, 4.3 out of 5 stars
    ·
    833 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Rochester

    Fundamentals of Audio and Music Engineering: Part 1 Musical Sound & Electronics

    Skills you'll gain: Basic Electrical Systems, Music, Electrical Engineering, Electronics, Electronic Components, Electronic Hardware, Electronics Engineering, Electronic Systems, Music Theory, Electrical Systems, Hardware Design, Electrical Wiring, Vibrations, General Construction and Construction Labor, Engineering Analysis, Engineering Calculations

    4.6
    Rating, 4.6 out of 5 stars
    ·
    597 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft AI & ML Engineering

    Skills you'll gain: Unsupervised Learning, Fine-tuning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Generative Model Architectures, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Data Preprocessing, Model Optimization

    4.5
    Rating, 4.5 out of 5 stars
    ·
    391 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Medical Terminology I

    Skills you'll gain: Medical Terminology, Human Musculoskeletal System, Orthopedics, Medical History Documentation, Medical Records, Electronic Medical Record System, Urology, Health Information Management and Medical Records, Anatomy, Nephrology, Diagnostic Tests

    4.9
    Rating, 4.9 out of 5 stars
    ·
    802 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The Hong Kong University of Science and Technology

    Fibonacci Numbers and the Golden Ratio

    Skills you'll gain: Geometry, Mathematical Theory & Analysis, Advanced Mathematics, Algebra, Applied Mathematics, Linear Algebra

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

    Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Network Routing, Computational Thinking, Data Structures, Computer Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    831 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Patient Safety and Quality Improvement: Developing a Systems View (Patient Safety I)

    Skills you'll gain: Patient Safety, Systems Thinking, Health Systems, Safety Assurance, Quality Improvement, Continuous Quality Improvement (CQI), Risk Analysis, Culture

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Model Training, Data Preprocessing, Embedded Systems, Machine Learning Software, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Responsible AI, Model Deployment, Convolutional Neural Networks, Predictive Modeling, Feature Engineering, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    763 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Fundamentals of Computer Network Security

    Skills you'll gain: Cryptography, Public Key Infrastructure, Cybersecurity, Information Systems Security, Data Security, Firewall, Cyber Attacks, Data Encryption Standard, Penetration Testing, Network Security, Information Assurance, Encryption, Exploit development, Advanced Encryption Standard (AES), Cryptographic Protocols, Intrusion Detection and Prevention, Metasploit, Application Security, Security Testing, Cyber Security Policies

    4
    Rating, 4 out of 5 stars
    ·
    602 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Sampling (Statistics), Machine Learning Algorithms, Simulations, Machine Learning, Algorithms, Applied Machine Learning, Statistical Methods, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

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

  • Supply Chain Management and Analytics: Unilever
  • Corporate Finance I: Measuring and Promoting Value Creation: University of Illinois Urbana-Champaign
  • Recommender Systems: University of Minnesota
  • Fundamentals of Audio and Music Engineering: Part 1 Musical Sound & Electronics: University of Rochester
  • Microsoft AI & ML Engineering: Microsoft
  • Medical Terminology I: Rice University
  • Fibonacci Numbers and the Golden Ratio: The Hong Kong University of Science and Technology
  • Shortest Paths Revisited, NP-Complete Problems and What To Do About Them: Stanford University
  • Patient Safety and Quality Improvement: Developing a Systems View (Patient Safety I): Johns Hopkins University
  • Introduction to Embedded Machine Learning: Edge Impulse

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