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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
    V

    Vanderbilt University

    ChatGPT Advanced Data Analysis

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Multimodal Prompts, Data Visualization, Plot (Graphics), Data Presentation, Statistical Visualization, File Management, Artificial Intelligence, AI Workflows, File I/O, Generative AI, Marketing Automation, Data Analysis, Business Process Automation, Document Management, Text Mining, Data Transformation, Automation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    983 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with R

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, R (Software), Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Software, Probability & Statistics, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Wrangling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Shanghai Jiao Tong University

    Fundamentals of Materials Science

    Skills you'll gain: Materials science, Structural Analysis, Engineering, Chemistry, Physics, Manufacturing Processes, Physical Science, Thermal Management, Mechanics, Chemical Engineering, Mathematical Modeling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    201 reviews

    Intermediate · Course · 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, Linux, Application Deployment, Software Development Methodologies, Python Programming, NumPy, Data Analysis

    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 Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Exploratory Data Analysis, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, AI literacy, Predictive Modeling, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Augmented and Virtual Reality (AR/VR), Autoencoders, Machine Learning

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

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Probability Theory and Regression for Predictive Analytics

    Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Methods, Statistics, Bayesian Statistics, Statistical Software, Statistical Inference, Applied Mathematics, Python Programming, Machine Learning, Algorithms

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Finance & Quantitative Modeling for Analysts

    Skills you'll gain: Financial Reporting, Return On Investment, Financial Acumen, Financial Data, Capital Budgeting, Financial Statement Analysis, Financial Statements, Financial Accounting, Business Modeling, Mathematical Modeling, Finance, Regression Analysis, Financial Modeling, Statistical Modeling, Income Statement, Spreadsheet Software, Predictive Modeling, Financial Forecasting, Microsoft Excel, Corporate Finance

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Google Cloud Fundamentals: Core Infrastructure

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Prompt Engineering, Kubernetes, Prompt Engineering Tools, Containerization, Infrastructure As A Service (IaaS), Prompt Patterns, Cloud Platforms, Cloud Storage, Cloud Services, Identity and Access Management, Application Deployment, Virtual Machines, Cloud-Native Computing, Virtual Networking, Cloud Computing, Cloud Management, Application Development, Cloud Deployment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    O

    Olay

    Introduction to Cosmetic and Skincare Science

    Skills you'll gain: Chemistry, Biochemistry, Safety Standards, General Science and Research, Ethical Standards And Conduct, Biology, Regulatory Compliance, Sustainability Standards, Product Testing, Product Development, Physiology

    4.7
    Rating, 4.7 out of 5 stars
    ·
    350 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Coding Interview Preparation

    Skills you'll gain: Data Structures, Algorithms, Software Visualization, Pseudocode, Computational Thinking, Theoretical Computer Science, Computer Science, Technical Communication, Graph Theory, Communication

    4.6
    Rating, 4.6 out of 5 stars
    ·
    809 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    Google

    Google IT Support

    Skills you'll gain: IT Security Architecture, Computer Networking, Operating System Administration, Package and Software Management, Network Troubleshooting, Version Control, IT Automation, Systems Administration, IT Infrastructure, Network Administration, Information Systems Security, TCP/IP, Git (Version Control System), Chef (Configuration Management Tool), Network Security, General Networking, Ruby (Programming Language), Desktop Support, Web Presence, Interviewing Skills

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    214K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Skills for Business: Advanced

    Skills you'll gain: Excel Formulas, Dashboard, Dashboard Creation, Microsoft Excel, Spreadsheet Software, Data Wrangling, Data Preprocessing, Data Manipulation, Data Processing, Data Presentation, Interactive Data Visualization, Excel Macros, Data Analysis Software, Business Analytics, Analytical Skills, Advanced Analytics, Business Mathematics, Financial Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.3K reviews

    Intermediate · Course · 1 - 3 Months

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

  • ChatGPT Advanced Data Analysis: Vanderbilt University
  • Statistics and Data Analysis with R: University of Colorado Boulder
  • Fundamentals of Materials Science: Shanghai Jiao Tong University
  • Applied Software Engineering Fundamentals: IBM
  • Generative AI for Data Scientists: IBM
  • Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
  • Finance & Quantitative Modeling for Analysts: University of Pennsylvania
  • Google Cloud Fundamentals: Core Infrastructure: Google Cloud
  • Introduction to Cosmetic and Skincare Science: Olay
  • Coding Interview Preparation: Meta

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