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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: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Data Engineering for AI and ML Pipelines

    Skills you'll gain: Feature Engineering, Databricks, Data Engineering, PySpark, Data Lakes, Apache Airflow, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), Data Architecture, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Management, Data Storage, Python Programming, Artificial Intelligence, Machine Learning, SQL, Machine Learning Algorithms, Warehouse Management

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Hardware and Operating Systems

    Skills you'll gain: Peripheral Devices, Virtualization, Computer Hardware, System Configuration, Virtualization and Virtual Machines, Operating System Administration, Computer Systems, Virtual Machines, Operating Systems, Hardware Troubleshooting, Linux, Software Installation, Technical Support, Mac OS, Computer Architecture, File Systems, Network Infrastructure, Data Storage, User Accounts, Disaster Recovery

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Statistics and Calculus Methods for Data Analysis

    Skills you'll gain: Statistical Analysis, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Applied Mathematics, Derivatives, Probability, Mathematical Modeling, Machine Learning, Algorithms

    Build toward a degree

    3.2
    Rating, 3.2 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University at Buffalo

    Smart Contracts

    Skills you'll gain: Blockchain, Program Development, Cryptographic Protocols, Development Environment, Web Development Tools, Software Design, Integrated Development Environments, Programming Principles, Solution Design, Business Logic, Event-Driven Programming, Other Programming Languages, Application Deployment, Transaction Processing, Data Structures, Technology Solutions, Verification And Validation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    BI Reporting and Dashboard Fundamentals

    Skills you'll gain: Dashboard, Business Reporting, Data Visualization, Business Intelligence, Business Intelligence Software, Data Presentation, Performance Reporting, Report Writing, Key Performance Indicators (KPIs), Graphing, Usability Testing

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    AI Ethics, Governance, and Risk - The Complete Guide

    Skills you'll gain: Responsible AI, Data Ethics, Risking, Business Ethics, Artificial Intelligence, Ethical Standards And Conduct, AI literacy, Decision Making, Accountability Frameworks, Diversity Awareness, Law, Regulation, and Compliance, Governance, Regulatory Requirements, Safety Assurance, Data Modeling, Dimensionality Reduction, Design, Power BI, SQL, Apache

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    J

    John Wiley & Sons

    Foundations of Machine Learning: Concepts, Tools, and Math

    Skills you'll gain: Data Literacy, Responsible AI, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Unstructured Data, Generative AI, Machine Learning Algorithms, Model Training, NumPy, Python Programming, Data Science, Scalability, Artificial Intelligence, Supervised Learning, Data Preprocessing, Unsupervised Learning, Feature Engineering, Algorithms

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Modern Java Fundamentals & Data Structures

    Skills you'll gain: Java Programming, Java, Data Structures, Object Oriented Design, Maintainability, Object Oriented Programming (OOP), Spring Boot, Numerical Analysis, Algorithms, Interoperability, Data Management, Performance Tuning, Data Validation

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    British Standards Institution

    Evaluating Machine Learning Classification Models

    Skills you'll gain: Statistical Methods, Statistical Hypothesis Testing, Performance Testing, Statistical Analysis, Supervised Learning, Machine Learning, Data Validation, Statistical Reporting, Technical Communication, Data Quality, Performance Analysis, Test Data, Applied Machine Learning, Probability & Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Deep Learning for Time Series Cookbook

    Skills you'll gain: Anomaly Detection, PyTorch (Machine Learning Library), Forecasting, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Predictive Modeling, Deep Learning, Autoencoders, Predictive Analytics, Unsupervised Learning, Applied Machine Learning, Model Training, Generative Model Architectures, Convolutional Neural Networks, Exploratory Data Analysis, Model Optimization, Artificial Neural Networks, Data Preprocessing, Model Evaluation, Data Architecture

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Georgia Institute of Technology

    Build Your Professional ePortfolio in English

    Skills you'll gain: Professional Networking, LinkedIn, Web Content, Social Media Content, Instagram, Web Presence, Writing, Concision, Content Creation, Social Media, Grammar, Business Writing, Professionalism, Constructive Feedback, Writing and Editing, Relationship Building, English Language, Language Competency, Branding, Vocabulary

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.7K reviews

    Mixed · Course · 1 - 4 Weeks

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

    Coursera

    Data Preparation & Infrastructure

    Skills you'll gain: Data Cleansing, Marketing Operations, Marketing Analytics, Data Preprocessing, Data Manipulation, Data Quality, Data Transformation, Data Wrangling, Data Synthesis, Data Mapping, Google Analytics, Code Review, Data Validation, Cross-Channel Marketing, Data Integrity, Software Technical Review, Verification And Validation, SQL, Data Modeling, Data Analysis

    Beginner · Course · 1 - 3 Months

1…109110111…834

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

  • Data Engineering for AI and ML Pipelines: Edureka
  • Introduction to Hardware and Operating Systems: IBM
  • Statistics and Calculus Methods for Data Analysis: University of Pittsburgh
  • Smart Contracts: University at Buffalo
  • BI Reporting and Dashboard Fundamentals: Coursera
  • AI Ethics, Governance, and Risk - The Complete Guide: Packt
  • Foundations of Machine Learning: Concepts, Tools, and Math: John Wiley & Sons
  • Modern Java Fundamentals & Data Structures: Packt
  • Evaluating Machine Learning Classification Models: British Standards Institution
  • Deep Learning for Time Series Cookbook: Packt

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