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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: New
    New
    Status: Free Trial
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    Microsoft

    Microsoft Foundations of Cybersecurity, Networking, and Cloud Systems

    Skills you'll gain: Cryptography, Network Monitoring, Network Security, Distributed Denial-Of-Service (DDoS) Attacks, Computer Systems, Data Storage Technologies, Cybersecurity, Threat Detection, Security Controls, General Networking, Cloud Computing, Microsoft Azure, Active Directory, Encryption, Firewall, Operating Systems, Authentications, Authorization (Computing), General Data Protection Regulation (GDPR), Business Software

    4.7
    Rating, 4.7 out of 5 stars
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    2.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    U

    Universiteit Leiden

    Miracles of Human Language: An Introduction to Linguistics

    Skills you'll gain: Language Competency, Language Learning, Language Interpretation, Translation, and Studies, Language Disorders, Anthropology, Multilingualism, English Language, Communication Disorders, Cultural Diversity, Vocabulary, Grammar, Social Sciences, Sociology

    4.7
    Rating, 4.7 out of 5 stars
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    2.5K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Imperial College London

    Introduction to Statistics & Data Analysis in Public Health

    Skills you'll gain: Analytical Skills, Science and Research, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Statistical Analysis, R (Software), Data Analysis, Statistical Software, Statistical Programming, Probability & Statistics, Statistical Methods, Data Analysis Software, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
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    1.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Michigan

    Model Thinking

    Skills you'll gain: Mathematical Modeling, Mathematics and Mathematical Modeling, Systems Thinking, Strategic Decision-Making, Innovation, Diversity Awareness, Social Sciences, Predictive Modeling, Data-Driven Decision-Making, Social Studies, Strategic Thinking, Decision Making, Critical Thinking, Network Analysis, Economics, Economic Development, Probability, Probability & Statistics, Market Dynamics, Coordination

    4.8
    Rating, 4.8 out of 5 stars
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    2.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of California, Santa Cruz

    Go and C++: Programming in Two Successor Languages of C

    Skills you'll gain: C++ (Programming Language), Go (Programming Language), File I/O, Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Software Design Patterns, Debugging, Computer Programming, Programming Principles, Unit Testing, Algorithms, C (Programming Language), Program Development, Software Design, Graph Theory, Software Testing, Code Reusability, Memory Management, C and C++

    4.4
    Rating, 4.4 out of 5 stars
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    2.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    C

    Coursera

    Data Analysis and Exploration

    Skills you'll gain: Exploratory Data Analysis, Data Analysis, Business Analytics, Descriptive Analytics, Descriptive Statistics, Analytics, Analytical Skills, Statistical Analysis, Statistical Visualization, Data Visualization, Correlation Analysis, Histogram, Box Plots, Statistical Methods, Plot (Graphics), Scatter Plots, Statistics, Data Presentation, Graphing

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    E

    Edureka

    Fundamentals of Data Governance

    Skills you'll gain: Data Governance, Governance, Data Management, Compliance Management, Data Architecture, Compliance Training, Cloud Solutions, General Data Protection Regulation (GDPR), Data Strategy, Regulatory Compliance, Security Controls, Data Security, Cloud Security, Metadata Management, Information Management, Data Integrity, Data Quality, Data Access, Cloud Computing, Risk Management

    4.1
    Rating, 4.1 out of 5 stars
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    72 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Building AI Powered Chatbots Without Programming

    Skills you'll gain: AI Workflows, Application Deployment, Workflow Management, IBM Cloud, No-Code Development, Self Service Technologies, Generative AI Agents, AI Personalization, Customer Service, Customer experience improvement, Generative AI, Context Management, Operational Efficiency, WordPress

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    G

    Google Cloud

    Getting started with Google Workspace

    Skills you'll gain: Google Docs, Gmail, Google Sheets, Google Workspace, Presentations, Calendar Management, File Management, Spreadsheet Software, Productivity Software, Email Security, Email Automation, Collaborative Software, Excel Formulas, Data Visualization, Document Management, Data Validation, Setting Appointments, Meeting Facilitation, Sales Presentations, Version Control

    4.7
    Rating, 4.7 out of 5 stars
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    3.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    C

    Coursera

    Statistical Inference & Predictive Modeling Foundations

    Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Dashboard Creation, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Descriptive Analytics, Simulations, Predictive Modeling, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Making, Decision Tree Learning, Keras (Neural Network Library)

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Python Programming Essentials

    Skills you'll gain: Programming Principles, Python Programming, Computational Logic, Development Environment, Computer Programming, Program Development, Integrated Development Environments, Debugging

    4.8
    Rating, 4.8 out of 5 stars
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    3.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Case Western Reserve University

    Inspired Leadership

    Skills you'll gain: Coaching, Negotiation, Emotional Intelligence, Empathy & Emotional Intelligence, Empathy, Employee Coaching, Leadership Development, Compassion, Leadership, Organizational Change, Organizational Leadership, Organizational Development, Rapport Building, Culture Transformation, Team Leadership, People Development, Strategic Leadership, Active Listening, Case Studies, Professional Development

    4.7
    Rating, 4.7 out of 5 stars
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    2.7K reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Microsoft Foundations of Cybersecurity, Networking, and Cloud Systems: Microsoft
  • Miracles of Human Language: An Introduction to Linguistics: Universiteit Leiden
  • Introduction to Statistics & Data Analysis in Public Health: Imperial College London
  • Model Thinking: University of Michigan
  • Go and C++: Programming in Two Successor Languages of C: University of California, Santa Cruz
  • Data Analysis and Exploration: Coursera
  • Fundamentals of Data Governance: Edureka
  • Building AI Powered Chatbots Without Programming: IBM
  • Getting started with Google Workspace: Google Cloud
  • Statistical Inference & Predictive Modeling Foundations: Coursera

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