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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
    G

    Google Cloud

    Google Cloud Digital Leader Training

    Skills you'll gain: Cloud Management, Serverless Computing, Google Cloud Platform, Digital Transformation, Data Governance, Cloud Services, Distributed Denial-Of-Service (DDoS) Attacks, Cloud Security, Cloud Infrastructure, Data Strategy, Application Programming Interface (API), Cloud Solutions, Real Time Data, Business Transformation, Data Management, Hybrid Cloud Computing, Data Warehousing, AI Enablement, Artificial Intelligence, Data Security

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

    Beginner · Professional Certificate · 3 - 6 Months

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

    EDUCBA

    Master Excel Skills: Analyze, Automate & Visualize Data

    Skills you'll gain: Excel Macros, Data Validation, Pivot Tables And Charts, Microsoft Excel, Data Visualization, Scatter Plots, Histogram, Data Integrity, Excel Formulas, Spreadsheet Software, Forecasting, Data Analysis, Debugging, Visual Basic (Programming Language), Automation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    IT Security: Defense against the digital dark arts

    Skills you'll gain: IT Security Architecture, Network Security, Cybersecurity, Security Awareness, Encryption, Cryptography, Security Management, Authorization (Computing), Firewall, Authentications, Threat Detection, Hardening, Malware Protection, AI Enablement, Wireless Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    26K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    723 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Java Programming: Arrays, Lists, and Structured Data

    Skills you'll gain: File I/O, Java Programming, Object Oriented Programming (OOP), Data Structures, Java, Cryptography, Software Engineering, Computer Programming, Algorithms, Encryption, Web Servers

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Cybersecurity Analyst

    Skills you'll gain: Operating System Administration, Digital Forensics, Cyber Threat Hunting, Incident Response, IT Service Management, Identity and Access Management, Cloud Computing, Governance Risk Management and Compliance, Information Technology Infrastructure Library, Endpoint Security, Malware Protection, Penetration Testing, Computer Security Incident Management, Linux Commands, Database Management, Networking Hardware, Cybersecurity, Cyber Threat Intelligence, Interviewing Skills, Cyber Security Assessment

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    27K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free
    Free
    P

    Princeton University

    Computer Science: Algorithms, Theory, and Machines

    Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Java Programming, Computer Hardware, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    744 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    Future of data and technology in football

    Skills you'll gain: Applied Machine Learning, Image Analysis, Computer Vision, Analytics, Real Time Data, AI Enablement, Reinforcement Learning, Large Language Modeling, Advanced Analytics, Data-Driven Decision-Making, AI Workflows, Machine Learning, Artificial Intelligence, Analysis, Automation, Supervised Learning, Natural Language Processing, Data Presentation, Innovation, Data Collection

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Python, Bash and SQL Essentials for Data Engineering

    Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Cloud Engineering, Python Programming, Big Data, Data Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    464 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Data Analytics Foundations

    Skills you'll gain: Data Storytelling, Google Sheets, Data Visualization, Spreadsheet Software, Large Language Modeling, Data Literacy, Data Visualization Software, Business Analysis, Requirements Analysis, Data Analysis, Analytics, Exploratory Data Analysis, Data-Driven Decision-Making, Trend Analysis, Data Transformation, Stakeholder Engagement

    4.7
    Rating, 4.7 out of 5 stars
    ·
    188 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Clustering & Retrieval

    Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Scalability, Data Structures, Distributed Computing, Probability Distribution, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.4K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Intro to Generative AI: A Beginner's Primer on Core Concepts

    Skills you'll gain: Responsible AI, Google Gemini, LLM Application, AI Enablement, AI Product Strategy, Stakeholder Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

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

  • Google Cloud Digital Leader Training: Google Cloud
  • Master Excel Skills: Analyze, Automate & Visualize Data: EDUCBA
  • IT Security: Defense against the digital dark arts : Google
  • Machine Learning Foundations for Product Managers: Duke University
  • Java Programming: Arrays, Lists, and Structured Data: Duke University
  • IBM Cybersecurity Analyst: IBM
  • Computer Science: Algorithms, Theory, and Machines: Princeton University
  • Future of data and technology in football : Real Madrid Graduate School Universidad Europea
  • Python, Bash and SQL Essentials for Data Engineering: Duke University
  • Data Analytics Foundations: DeepLearning.AI

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