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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
    G

    Google

    Google Cybersecurity

    Skills you'll gain: Threat Modeling, Network Security, Threat Management, Vulnerability Management, Intrusion Detection and Prevention, Hardening, Computer Security Incident Management, Security Management, Cyber Threat Intelligence, Cyber Attacks, Incident Response, Cybersecurity, Network Protocols, Threat Detection, Bash (Scripting Language), Debugging, Linux, Interviewing Skills, Python Programming, SQL

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    63K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Google Ads for Beginners

    Skills you'll gain: Google Ads, Keyword Research, Target Audience, Pay Per Click Advertising, Search Engine Marketing, Advertising Campaigns, Campaign Management, Online Advertising, Digital Advertising, Marketing, Digital Marketing, Return On Investment

    4.4
    Rating, 4.4 out of 5 stars
    ·
    5.9K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of User Experience (UX) Design

    Skills you'll gain: User Research, User Experience Design, Design Thinking, User Centered Design, Usability, Persona (User Experience), User Interface (UI), Web Content Accessibility Guidelines, Wireframing, Prototyping, Sprint Retrospectives, Sprint Planning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    75K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Data Storytelling for Data Professionals

    Skills you'll gain: Data Storytelling, Data Presentation, Storytelling, Interactive Data Visualization, Data Visualization, Infographics, Dashboard, Data Visualization Software, Presentations, Data-Driven Decision-Making, Persuasive Communication

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Building Modern Data Applications Using Databricks Lakehouse

    Skills you'll gain: Databricks, Data Lakes, Data Transformation, Data Quality, Data Infrastructure, Data Governance, Data Pipelines, Real Time Data, Data Warehousing, Data Management, Terraform, Data Validation, Apache Spark, Data Integrity, Data Storage, Continuous Deployment, Cloud Computing, Scalability, Data Security

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    SAS Programmer

    Skills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Data Analysis, Data Transformation, Requirements Analysis, Statistical Programming, Exploratory Data Analysis, Data Cleansing, Statistical Analysis, Data Processing, Data Preprocessing, Data Integration, SQL, Descriptive Statistics, Computer Programming, Data Presentation, Debugging

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.5K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Neuroscience and Neuroimaging

    Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Diagnostic Radiology, Anatomy, Radiology, Image Analysis, Data Analysis, X-Ray Computed Tomography, Data Manipulation, Analytical Skills, Experimentation, Statistical Analysis, Biomedical Technology, Advanced Analytics, Network Analysis, R Programming, Data Processing, Research Design, Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Back-End Developer

    Skills you'll gain: Django (Web Framework), Full-Stack Web Development, Version Control, Restful API, Data Structures, Unix Commands, Bootstrap (Front-End Framework), Git (Version Control System), API Testing, Back-End Web Development, GitHub, Web Design and Development, Relational Databases, Front-End Web Development, Object Oriented Programming (OOP), Database Management Systems, SQL, Python Programming, Computer Programming, Cloud Hosting

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.7K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Business Intelligence (BI) Analyst

    Skills you'll gain: Data Storytelling, Dashboard, Data Presentation, Data Visualization, Database Design, MySQL, Presentations, Descriptive Statistics, Extract, Transform, Load, Business Intelligence, Data Visualization Software, IBM DB2, Tableau Software, Relational Databases, Star Schema, IBM Cognos Analytics, Interactive Data Visualization, Microsoft SQL Servers, Regression Analysis, Excel Formulas

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    AI for Project Managers and Scrum Masters

    Skills you'll gain: Agile Project Management, AI Enablement, Predictive Modeling, Agile Methodology, Innovation, Project Management Life Cycle, Project Management, Data-Driven Decision-Making, Automation, Artificial Intelligence, Digital Transformation, Risk Management, Change Management

    4.2
    Rating, 4.2 out of 5 stars
    ·
    132 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Applied Data Science with R

    Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Database Design, Shiny (R Package), Data Visualization, Data Wrangling, Dashboard, Exploratory Data Analysis, Relational Databases, Data Analysis, Ggplot2, Model Evaluation, Data Presentation, SQL, Plot (Graphics), Databases, Data Manipulation, Web Scraping, R Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • P

    Peking University

    Chinese for HSK 6

    Skills you'll gain: Oral Comprehension, Writing, Language Competency, Literacy, Grammar, Language Learning, Vocabulary, Language Interpretation, Translation, and Studies

    4.9
    Rating, 4.9 out of 5 stars
    ·
    514 reviews

    Advanced · Course · 3 - 6 Months

Searches related to statistics for data science

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

  • Google Cybersecurity: Google
  • Google Ads for Beginners: Coursera
  • Foundations of User Experience (UX) Design: Google
  • Data Storytelling for Data Professionals: Packt
  • Building Modern Data Applications Using Databricks Lakehouse: Packt
  • SAS Programmer: SAS
  • Neuroscience and Neuroimaging: Johns Hopkins University
  • Meta Back-End Developer: Meta
  • IBM Business Intelligence (BI) Analyst: IBM
  • AI for Project Managers and Scrum Masters: Coursera

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