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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.


More to explore:

Popular Statistics For Data Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Analyzing and Visualizing Data in Looker

    Skills you'll gain: Looker (Software), Dashboard, Data Visualization Software, Data Analysis, Data Sharing, Data Presentation, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    370 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    AI Agents: Multi-Agent Design & Governance

    Skills you'll gain: Responsible AI, AI Workflows, AI Orchestration, Agentic systems, Generative AI Agents, Artificial Intelligence, Coordination, AI Security, Data Ethics, Governance, Systems Architecture, Software Architecture, Scalability, Regulatory Compliance, Communication Strategies, Communication

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Analitik Data Google

    Skills you'll gain: Data Presentation, Data Cleansing, Data Storytelling, Rmarkdown, Data Visualization, Data Ethics, Data Literacy, Ggplot2, Data Validation, Spreadsheet Software, Tableau Software, Analytical Skills, Data Visualization Software, Data-Driven Decision-Making, Dashboard, Data Analysis, Stakeholder Management, Data Integrity, Database Management, Case Studies

    4.9
    Rating, 4.9 out of 5 stars
    ·
    2.3K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Regression Modeling in Practice

    Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, Exploratory Data Analysis, SAS (Software), Statistical Programming, Predictive Modeling, Model Evaluation, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    274 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data Collection and Processing with Python

    Skills you'll gain: JSON, Data Processing, Web Scraping, Restful API, Data Manipulation, Application Programming Interface (API), Data Persistence, Python Programming, Data Transformation, Data Structures, Data Collection

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep DP-700: Microsoft Fabric Data Engineer Associate

    Skills you'll gain: Azure Synapse Analytics, Performance Tuning, Microsoft Azure, System Monitoring, Data Engineering, Transact-SQL, Star Schema, Power BI, PySpark, Data Cleansing, Data Analysis Expressions (DAX), Apache Spark, Data Warehousing, Analytics, Data Modeling, Data Analysis, SQL, Azure Active Directory, Advanced Analytics, Microsoft Copilot

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Advanced Business Analytics

    Skills you'll gain: Data Storytelling, Data Presentation, Data Governance, Data Storage Technologies, Predictive Analytics, Logistic Regression, Exploratory Data Analysis, Analytics, Business Analytics, Data Storage, Big Data, Risk Analysis, Databases, Data Modeling, Business Intelligence, Data Visualization, Data Analysis, Decision Making, Data Cleansing, SQL

    4.6
    Rating, 4.6 out of 5 stars
    ·
    5.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Dynamic Programming, Greedy Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Pseudocode, Data Structures, Design Strategies, Programming Principles, Computer Science, Advanced Mathematics, Python Programming, Analysis

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    236 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Interactive UI & Animation with Advanced JavaScript

    Skills you'll gain: Responsive Web Design, Web Design, Cascading Style Sheets (CSS), User Interface (UI), Interactive Design, User Interface (UI) Design, Javascript, Front-End Web Development, Hypertext Markup Language (HTML), Animations, Web Development, Event-Driven Programming

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of California, Davis

    SQL für Data Science

    Skills you'll gain: Data Governance, SQL, Data Quality, Data Manipulation, Data Transformation, Query Languages, Data Modeling, Database Systems, Relational Databases, Data Processing, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Introduction to Social Media Marketing

    Skills you'll gain: Social Media Marketing, Social Media, Target Audience, Smart Goals, Social Media Strategy, Marketing, Key Performance Indicators (KPIs), Facebook, Customer Analysis, Marketing Strategies, Marketing Channel, Digital Media Strategy, Instagram, Digital Marketing

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

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introductory C Programming

    Skills you'll gain: Debugging, File I/O, Programming Principles, Maintainability, Software Testing, Program Development, C (Programming Language), Algorithms, Simulations, System Programming, Computer Programming, Data Structures, Software Development, Software Engineering, Command-Line Interface, Development Environment, User Interface (UI), Solution Design, Problem Solving, Software Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.4K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Analyzing and Visualizing Data in Looker: Google Cloud
  • AI Agents: Multi-Agent Design & Governance: Coursera
  • Analitik Data Google: Google
  • Regression Modeling in Practice: Wesleyan University
  • Data Collection and Processing with Python: University of Michigan
  • Exam Prep DP-700: Microsoft Fabric Data Engineer Associate: Whizlabs
  • Advanced Business Analytics: University of Colorado Boulder
  • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
  • Interactive UI & Animation with Advanced JavaScript: Packt
  • SQL für Data Science: University of California, Davis

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