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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

    University of Colorado Boulder

    Statistics and Applied Data Analysis

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Statistical Programming, R (Software), Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Statistical Software, Microsoft Excel, Statistics, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    51 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Introduction to Computer Science and Programming

    Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Computer Literacy, General Networking, Javascript, Network Security, Computer Networking, Application Security, Computational Thinking, Computer Programming Tools, Visualization (Computer Graphics), Applied Mathematics, Computer Programming, General Mathematics, Numerical Analysis, Problem Solving

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    ·
    1.6K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Data Analysis with SQL, Excel & Power BI

    Skills you'll gain: Data Visualization, Data Storytelling, Power BI, Dashboard, Data Presentation, Transact-SQL, SQL, Microsoft SQL Servers, Excel Formulas, Microsoft Excel, Statistical Visualization, Data Cleansing, Transaction Processing, Prompt Engineering, Data Manipulation, Data Processing, Data Analysis, Dashboard Creation, Business Intelligence, Data Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability & Statistics, Programming Principles, Network Analysis, Theoretical Computer Science, Bayesian Statistics, Python Programming, Cybersecurity, Algorithms, Arithmetic

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Introduction to Data Analysis Using Excel

    Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Visualization Software, Data Presentation, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Prompt Engineering for ChatGPT

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, LLM Application, AI literacy, AI Enablement, AI powered creativity, Artificial Intelligence, Large Language Modeling, Game Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    HTML, CSS, and Javascript for Web Developers

    Skills you'll gain: HTML and CSS, Cascading Style Sheets (CSS), Javascript, Responsive Web Design, Web Design and Development, Ajax, Front-End Web Development, Bootstrap (Front-End Framework), Hypertext Markup Language (HTML), Web Design, Web Development, Web Development Tools, Development Environment, JSON, Web Applications, Frontend Performance, Browser Compatibility, Object Oriented Programming (OOP), Event-Driven Programming, User Interface and User Experience (UI/UX) Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    17K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google

    Google Digital Marketing & E-commerce

    Skills you'll gain: Data Storytelling, Media Planning, Social Media Marketing, Google Ads, Email Marketing, Social Media Strategy, Order Fulfillment, Paid media, Social Media Management, Online Advertising, Search Engine Optimization, Performance Measurement, Spreadsheet Software, Client Services, Campaign Management, E-Commerce, Loyalty Programs, Marketing, Web Presence, Interviewing Skills

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    51K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Applied Software Engineering Fundamentals

    Skills you'll gain: Unit Testing, Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Full-Stack Web Development, Flask (Web Framework), Software Design, Version Control, File Management, Unix Shell, Web Development, Linux, Application Deployment, Data Import/Export, Python Programming, NumPy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    52K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Digital Marketing

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative Engine Optimization (GEO), Prompt Patterns, Generative AI, Digital Advertising, Email Automation, Email Marketing, ChatGPT, Content Performance Analysis, Data Ethics, Digital Marketing, Search Engine Optimization, Personalized Campaigns, Marketing Automation, Content Optimization, Digital Marketing Tools, AI Personalization, AI literacy, Artificial Intelligence and Machine Learning (AI/ML)

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

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Neural Networks and Deep Learning

    Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Artificial Intelligence, Machine Learning Methods, Python Programming, Model Training, Model Optimization

    4.9
    Rating, 4.9 out of 5 stars
    ·
    124K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Statistics and Data Analysis with Excel: Essentials

    Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistics, Descriptive Statistics, Probability & Statistics, Microsoft Excel, Data Analysis, Statistical Analysis, Statistical Inference, Statistical Methods, Spreadsheet Software, Excel Formulas, Sampling (Statistics), Data-Driven Decision-Making, Box Plots, Probability Distribution, Descriptive Analytics, Data Visualization, Data Visualization Software, Variance Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    92 reviews

    Beginner · Course · 1 - 3 Months

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

  • Statistics and Applied Data Analysis: University of Colorado Boulder
  • Introduction to Computer Science and Programming: University of London
  • Microsoft Data Analysis with SQL, Excel & Power BI: Microsoft
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Introduction to Data Analysis Using Excel: Rice University
  • Prompt Engineering for ChatGPT: Vanderbilt University
  • HTML, CSS, and Javascript for Web Developers: Johns Hopkins University
  • Google Digital Marketing & E-commerce: Google
  • Applied Software Engineering Fundamentals: IBM
  • Generative AI for Digital Marketing: IBM

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