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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
    M

    Microsoft

    Data Preparation and Management

    Skills you'll gain: Extract, Transform, Load, Data Cleansing, Power BI, Data Transformation, Data Manipulation, Data Management, Data Quality, Data Preprocessing, Data Validation, Data Integration, Data Modeling, Data Import/Export, Data Storage

    5
    Rating, 5 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    McMaster University

    Finance for Everyone: Markets

    Skills you'll gain: Financial Market, Capital Markets, Derivatives, Equities, Financial Policy, Finance, Investments, Market Dynamics, Market Trend, Financial Regulation, Market Analysis, Presentations

    4.7
    Rating, 4.7 out of 5 stars
    ·
    414 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Adobe

    Social Media Content and Strategy

    Skills you'll gain: Adobe Express, Social Media Content, Social Media, Content Creation, Social Media Strategy, Social Media Marketing, Content Performance Analysis, Social Media Management, Social Media Campaigns, Adobe Firefly, Intellectual Property, Target Audience, Web Content, Marketing Materials, Instagram, Drive Engagement, Target Market, Customer Engagement, Content Strategy, Branding

    4.8
    Rating, 4.8 out of 5 stars
    ·
    316 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    GenAI for Execs & Business Leaders: Integration Strategy

    Skills you'll gain: Responsible AI, AI Product Strategy, Data Ethics, AI Enablement, Hybrid Cloud Computing, Business Leadership, Compliance Training, Cloud Computing Architecture, Strategic Leadership, Generative AI, Data Strategy, Return On Investment, Artificial Intelligence, Data Governance, Key Performance Indicators (KPIs), Talent Management

    4.9
    Rating, 4.9 out of 5 stars
    ·
    113 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Machine Learning Using SAS Viya

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    102 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Engineering Maintainable Android Apps

    Skills you'll gain: JUnit, Unit Testing, Maintainability, Software Design Patterns, Software Testing, Test Automation, Integration Testing, Test Driven Development (TDD), Testability, Software Engineering, Android Development, Application Security, Test Case, Software Design, Software Architecture, Mobile Security, Application Design

    4.5
    Rating, 4.5 out of 5 stars
    ·
    297 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Machine Learning for Accounting with Python

    Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Data Preprocessing, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Classification Algorithms, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Supervised Learning, Predictive Modeling, Python Programming, Regression Analysis, Feature Engineering, Jupyter, Pandas (Python Package), Data Manipulation

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The University of Melbourne

    The French Revolution

    Skills you'll gain: World History, European History, Social Sciences, International Relations, Social Justice, Social Impact, Political Sciences, Cultural Diversity, Economics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    324 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Google Workspace with Gemini

    Skills you'll gain: Google Gemini, Storytelling, Video Production, Gemini, Google Docs, Google Workspace, Video Editing, Responsible AI, Proofreading, Prompt Engineering, Productivity Software, Gmail, Workflow Management, LLM Application, AI Enablement, Generative AI, Writing, Collaboration, Project Management, Business Communication

    4.5
    Rating, 4.5 out of 5 stars
    ·
    309 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Ethics of Artificial Intelligence

    Skills you'll gain: Responsible AI, Social Impact, Social Studies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    294 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Sydney

    eHealth: More than just an electronic record

    Skills you'll gain: Health Technology, Health Informatics, Health Care, Health Systems, Electronic Medical Record, Care Coordination, Clinical Informatics, Telehealth, Health Information Management, Patient Education and Support, Interoperability, Patient-centered Care

    4.6
    Rating, 4.6 out of 5 stars
    ·
    336 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Analysis with Pandas and Python

    Skills you'll gain: Data Import/Export, Pandas (Python Package), Pivot Tables And Charts, Jupyter, Microsoft Excel, Data Analysis, Data Manipulation, Python Programming, Data Structures, Development Environment, Object Oriented Programming (OOP)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Data Preparation and Management: Microsoft
  • Finance for Everyone: Markets: McMaster University
  • Social Media Content and Strategy: Adobe
  • GenAI for Execs & Business Leaders: Integration Strategy: IBM
  • Machine Learning Using SAS Viya: SAS
  • Engineering Maintainable Android Apps: Vanderbilt University
  • Machine Learning for Accounting with Python: University of Illinois Urbana-Champaign
  • The French Revolution: The University of Melbourne
  • Google Workspace with Gemini: Google Cloud
  • Ethics of Artificial Intelligence: Politecnico di Milano

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