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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

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Jupyter, Regression Analysis, Probability & Statistics, Model Evaluation, Statistical Software, Probability Distribution, Data Science, Markov Model, Statistics, Statistical Programming, Statistical Inference, Statistical Methods, Simulations, Data Visualization, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 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
    Status: Free
    Free
    C

    Coursera

    Getting Started with Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Microsoft Office, Microsoft 365

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Skills for Business: Intermediate I

    Skills you'll gain: Microsoft Excel, Dashboard, Spreadsheet Software, Excel Formulas, Consolidation, Business Reporting, Data Management, Automation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Generative AI for Everyone

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Large Language Modeling, AI literacy, Data Ethics, AI Enablement, LLM Application, AI Product Strategy, Artificial Intelligence, Retrieval-Augmented Generation, Business Process Automation, Automation, Cloud Applications

    4.8
    Rating, 4.8 out of 5 stars
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    5.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Generative AI

    Skills you'll gain: Generative AI, Generative Model Architectures, Prompt Engineering, AI literacy, Google Cloud Platform, Large Language Modeling, Artificial Intelligence, Deep Learning, Statistical Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 4 Weeks

  • 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
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    17K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Introduction to Data Science and scikit-learn in Python

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Applied Machine Learning, NumPy, Statistical Machine Learning, Classification Algorithms, Data Preprocessing, Data Processing, Data Wrangling, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Model Evaluation, Data Science, Statistical Hypothesis Testing

    3.7
    Rating, 3.7 out of 5 stars
    ·
    62 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Human Resource Management: HR for People Managers

    Skills you'll gain: Performance Management, Performance Appraisal, Performance Review, Compensation Management, Compensation Strategy, Compensation and Benefits, Constructive Feedback, Human Resource Strategy, Human Resources, Talent Recruitment, Workforce Planning, Recruitment Strategies, Employee Performance Management, Human Resources Management and Planning, Employee Onboarding, Recruitment, Talent Acquisition, Management Training And Development, Human Resource Policies, Performance Measurement

    4.8
    Rating, 4.8 out of 5 stars
    ·
    16K reviews

    Beginner · Specialization · 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: Preview
    Preview
    U

    University of California, Davis

    Materials Science: 10 Things Every Engineer Should Know

    Skills you'll gain: Materials science, Semiconductors, Engineering, Mechanical Engineering, Failure Analysis, Structural Analysis, Engineering Analysis, Electrical Engineering, Thermal Management, Mechanics, Electronics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.5K reviews

    Mixed · Course · 1 - 3 Months

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

    IBM

    IBM Back-End Development

    Skills you'll gain: Cloud Deployment, Unit Testing, Software Development Life Cycle, Open Web Application Security Project (OWASP), Object-Relational Mapping, OpenShift, Istio, Kubernetes, Cloud-Native Computing, Linux Commands, Software Architecture, Application Deployment, Django (Web Framework), Bash (Scripting Language), Shell Script, Git (Version Control System), Grafana, Microservices, Data Import/Export, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    53K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

  • Introduction to Computational Statistics for Data Scientists: Databricks
  • Neural Networks and Deep Learning: DeepLearning.AI
  • Getting Started with Microsoft Excel: Coursera
  • Excel Skills for Business: Intermediate I: Macquarie University
  • Generative AI for Everyone: DeepLearning.AI
  • Introduction to Generative AI: Google Cloud
  • HTML, CSS, and Javascript for Web Developers: Johns Hopkins University
  • Introduction to Data Science and scikit-learn in Python: LearnQuest
  • Human Resource Management: HR for People Managers: University of Minnesota
  • Applied Software Engineering Fundamentals: IBM

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