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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
    Status: AI skills
    AI skills
    I

    IBM

    IBM DevOps and Software Engineering

    Skills you'll gain: Cloud Deployment, CI/CD, Software Development Life Cycle, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Linux Commands, Software Architecture, Agile Software Development, Scrum (Software Development), Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Restful API, Git (Version Control System), DevOps, Grafana, Software Engineering, Data Import/Export, Application Development

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    64K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Agentic AI Content for Practitioners: Marketing

    Skills you'll gain: Prompt Engineering, Marketing Automation, AI Personalization, Marketing Effectiveness, Marketing, Content Marketing, Marketing Strategies, MarTech, Advertising Campaigns, Agentic Workflows, AI Enablement, Marketing Analytics, Customer Relationship Management, Data-Driven Decision-Making, Social Media Management, Customer experience improvement

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    EDUCBA

    Regression & Forecasting for Data Scientists using Python

    Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Model Evaluation, Feature Engineering, Data Preprocessing, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Data Science, Matplotlib, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    42 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: AI in Production

    Skills you'll gain: Model Deployment, Application Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, Microservices, Model Evaluation, Machine Learning, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    55 reviews

    Advanced · Course · 1 - 4 Weeks

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

    Coursera

    EHR: Navigate Data & Compliance Confidently

    Skills you'll gain: Health Insurance Portability And Accountability Act (HIPAA) Compliance, Medical Privacy, Medical Records, Health Information Management and Medical Records, Electronic Medical Record, Health Information Management, Data Entry, Personally Identifiable Information, Medical Office Procedures, Patient Registration, Health Informatics, Data Quality

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    LearnQuest

    Build AI Apps with No-Code Tools

    Skills you'll gain: Data Ethics, Predictive Modeling, No-Code Development, Model Deployment, Data Visualization, Data Presentation, Responsible AI, Data-Driven Decision-Making, Advanced Analytics, Business Intelligence, Business Analytics, Data Cleansing, Business Reporting, Global Marketing, LLM Application, AI Enablement, User Feedback, Data Preprocessing, Predictive Analytics, Data Architecture

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Applications of Software Architecture for Big Data

    Skills you'll gain: Database Management, Acceptance Testing, Web Applications, Microservices, Software Architecture, Software Engineering, Data Infrastructure, System Monitoring, Functional Requirement, Application Deployment, User Acceptance Testing (UAT), Application Development, Distributed Computing, Prototyping, Requirements Elicitation, Test Automation, Agile Product Development, Big Data, Data Analysis

    Build toward a degree

    3.5
    Rating, 3.5 out of 5 stars
    ·
    19 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    A Crash Course in Causality: Inferring Causal Effects from Observational Data

    Skills you'll gain: R Programming, R (Software), Statistical Analysis, Statistical Methods, Statistical Modeling, Statistical Inference, Data Analysis, Quantitative Research, Regression Analysis, Research Design, Graph Theory

    4.7
    Rating, 4.7 out of 5 stars
    ·
    568 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    E

    Erasmus University Rotterdam

    Enjoyable Econometrics

    Skills you'll gain: Econometrics, Data Collection, Probability & Statistics, Regression Analysis, Survey Creation, Statistics, Quantitative Research, Descriptive Statistics, Data Literacy, Time Series Analysis and Forecasting, Statistical Analysis, Model Evaluation

    4.1
    Rating, 4.1 out of 5 stars
    ·
    132 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universidad Nacional Autónoma de México

    Estadística y probabilidad

    Skills you'll gain: Descriptive Statistics, Data Analysis, Correlation Analysis, Statistical Analysis, Data Presentation, Statistical Visualization, Probability, Histogram, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, Box Plots, Graphing, Scatter Plots

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Robotics, Business Logic, Risk Mitigation

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

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Scripting with Python and SQL for Data Engineering

    Skills you'll gain: Web Scraping, MySQL, SQL, JSON, Scripting, Data Persistence, Data Manipulation, Data Structures, Database Management, Databases, Data Import/Export, Data Capture, Spatial Analysis, Python Programming, Hypertext Markup Language (HTML)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    108 reviews

    Intermediate · Course · 1 - 4 Weeks

1…838485…834

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

  • IBM DevOps and Software Engineering: IBM
  • Agentic AI Content for Practitioners: Marketing: Coursera
  • Regression & Forecasting for Data Scientists using Python: EDUCBA
  • AI Workflow: AI in Production: IBM
  • EHR: Navigate Data & Compliance Confidently: Coursera
  • Build AI Apps with No-Code Tools: LearnQuest
  • Applications of Software Architecture for Big Data: University of Colorado Boulder
  • A Crash Course in Causality: Inferring Causal Effects from Observational Data: University of Pennsylvania
  • Enjoyable Econometrics: Erasmus University Rotterdam
  • Estadística y probabilidad: Universidad Nacional Autónoma de México

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