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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
    D

    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Model Optimization, Tensorflow, Model Training, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Verification And Validation, Debugging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    Computational Thinking for Problem Solving

    Skills you'll gain: Computational Thinking, Algorithms, Programming Principles, Program Development, Pseudocode, Problem Solving, Analytical Skills, Python Programming, Computer Systems, Data Structures, Computer Hardware, Computer Programming, Object Oriented Programming (OOP), Analysis, Computer Architecture, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Learning for Data Science

    Skills you'll gain: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Data Science, Decision Tree Learning, Statistical Methods, Classification And Regression Tree (CART), Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Machine Learning Methods, Classification Algorithms, Supervised Learning, R Programming, Statistical Inference, Dimensionality Reduction, Model Training

    Build toward a degree

    4
    Rating, 4 out of 5 stars
    ·
    24 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Java Programming and Software Engineering Fundamentals

    Skills you'll gain: File I/O, UI Components, Object Oriented Design, Java Programming, Software Design, User Interface (UI) Design, Debugging, Web Design and Development, Software Engineering, Code Reusability, Hypertext Markup Language (HTML), Computer Programming, Program Development, Event-Driven Programming, Bioinformatics, Encryption, Javascript, Algorithms, Data Analysis, Cascading Style Sheets (CSS)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Beginner · Specialization · 3 - 6 Months

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

    Coursera

    Data Analyst: SQL, Analysis, and Visualization

    Skills you'll gain: Dashboard Creation, Data Preprocessing, Dashboard, Descriptive Statistics, Exploratory Data Analysis, Pandas (Python Package), Data Presentation, SQL, Data Analysis, Data Wrangling, Tableau Software, Feature Engineering, Statistical Visualization, Data Cleansing, Analytical Skills, Data Visualization, Data Validation, Data Warehousing, Data Visualization Software, Data Analysis Software

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Data Analytics Capstone: Complete a Case Study

    Skills you'll gain: LinkedIn, Data Analysis, Data Analysis Software, Data Processing, Spreadsheet Software, Case Studies, Analytics, Analytical Skills, Interviewing Skills, AI Enablement, Data Visualization Software, Artificial Intelligence, Portfolio Management, Data Presentation, Data Cleansing, Data Visualization, Presentations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Front-End Developer

    Skills you'll gain: User Research, Cascading Style Sheets (CSS), JSON, User Experience Design, Command-Line Interface, Design Research, Javascript, Unix Shell, Usability, Debugging, User Interface (UI), Software Visualization, Web Content Accessibility Guidelines, Pseudocode, Hypertext Markup Language (HTML), User Interface and User Experience (UI/UX) Design, UI Components, Unit Testing, Mobile Development Tools, Code Reusability

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Full Stack Developer: Front-End & Back-End from Scratch

    Skills you'll gain: Django (Web Framework), Restful API, Version Control, GitHub, Git (Version Control System), Responsive Web Design, Cascading Style Sheets (CSS), Jest (JavaScript Testing Framework), JSON, HTML and CSS, Web Development Tools, Unix Commands, Back-End Web Development, React.js, API Testing, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Mobile Development, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25K reviews

    Beginner · Specialization · 3 - 6 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, Email Security, Incident Response, IT Service Management, Cloud Computing, Governance Risk Management and Compliance, Information Technology Infrastructure Library, Network Security, Malware Protection, Networking Hardware, Service Management, Identity and Access Management, Penetration Testing, Database Management, Cyber Threat Intelligence, Interviewing Skills, Cybersecurity, Cyber Security Assessment

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    28K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    R Programming

    Skills you'll gain: R (Software), Statistical Analysis, R Programming, Statistical Programming, Statistical Methods, Data Analysis, Debugging, Simulations, Program Development, Programming Principles, Software Installation, Data Structures, Performance Tuning, Data Import/Export

    4.5
    Rating, 4.5 out of 5 stars
    ·
    22K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Engineers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, Database Design, ChatGPT, Data Pipelines, Query Languages, Extract, Transform, Load, Responsible AI, LLM Application, AI literacy, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Machine Learning

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

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    California Institute of the Arts

    Graphic Design

    Skills you'll gain: Graphic and Visual Design, Typography, Graphic Design, Graphic and Visual Design Software, Visual Design, Design, Color Theory, Design Elements And Principles, Ideation, Creative Design, Logo Design, Visual Storytelling, Design Software, Conceptual Design, Brand Strategy, Design Reviews, Style Guides, Layout Design, Digital Design, Art History

    4.7
    Rating, 4.7 out of 5 stars
    ·
    22K reviews

    Beginner · Specialization · 3 - 6 Months

1…212223…834

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

  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
  • Computational Thinking for Problem Solving: University of Pennsylvania
  • Statistical Learning for Data Science: University of Colorado Boulder
  • Java Programming and Software Engineering Fundamentals: Duke University
  • Data Analyst: SQL, Analysis, and Visualization: Coursera
  • Google Data Analytics Capstone: Complete a Case Study: Google
  • Meta Front-End Developer: Meta
  • Meta Full Stack Developer: Front-End & Back-End from Scratch: Meta
  • IBM Cybersecurity Analyst: IBM
  • R Programming: Johns Hopkins University

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