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Results for "tidyverse (r package)"

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    Capstone Project: Applying UI/UX Design in the Real World

    Skills you'll gain: User Research, Design Thinking, UI/UX Research, Usability Testing, Wireframing, Mockups, User Experience Design, User Interface (UI) Design, Prototyping, Figma (Design Software), User Flows, Persona Development, Scalability

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Functional Programming Principles in Scala

    Skills you'll gain: Scala Programming, Programming Principles, Object Oriented Programming (OOP), Functional Design, Software Design Patterns, Computer Programming, Data Structures, Integrated Development Environments, Javascript, Algorithms, Computational Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.3K reviews

    Intermediate · Course · 1 - 3 Months

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

    Packt

    Building Real-World Java Applications with Spring and Beyond

    Skills you'll gain: Apache Maven, Java Platform Enterprise Edition (J2EE), Hibernate (Java), Unit Testing, Docker (Software), Software Design Patterns, Object-Relational Mapping, Data Access

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Linear Regression

    Skills you'll gain: Regression Analysis, R Programming, R (Software), Statistical Methods, Statistical Inference, Data Analysis, Statistical Analysis, Predictive Modeling, Statistics, Probability & Statistics, Linear Algebra

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    Packt

    Rust Basics and Core Concepts

    Skills you'll gain: Package and Software Management, Software Installation, Programming Principles, Integrated Development Environments, Command-Line Interface

    Beginner · Course · 1 - 3 Months

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

    Coursera Instructor Network

    Foundations of Business Strategy and Research

    Skills you'll gain: Qualitative Research, Market Research, Strategic Decision-Making, Key Performance Indicators (KPIs), Quantitative Research, Innovation, Target Audience, Data-Driven Decision-Making, Sustainable Business, Benchmarking, Business Acumen, Value Propositions, Descriptive Statistics, Performance Measurement, Ideation, Team Performance Management, Competitive Analysis, Risk Management, Business Strategy, Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    178 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    P

    Packt

    Linux for Beginners

    Skills you'll gain: Ubuntu, Linux, Package and Software Management, Software Installation, Open Source Technology, Computing Platforms, Operating Systems, Desktop Support

    Beginner · Course · 1 - 4 Weeks

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

    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

    4.6
    Rating, 4.6 out of 5 stars
    ·
    102 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad Nacional Autónoma de México

    Antibióticos ¿cuándo, cómo y para qué?

    Skills you'll gain: Preventative Care, Medical Prescription, Pharmacotherapy, Infectious Diseases, Pharmacology, Public Health, Microbiology, Community Health, Patient Education And Counseling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    80 reviews

    Beginner · Course · 1 - 4 Weeks

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

    Pearson

    Data Science Fundamentals Part 1: Unit 3

    Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Analysis, Data Storage Technologies

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Construction Scheduling

    Skills you'll gain: Project Schedules, Project Risk Management, Scheduling, Construction Management, Timelines, Lean Methodologies, Construction, Project Management Software, Work Breakdown Structure, Resource Allocation, Probability & Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.3K reviews

    Beginner · Course · 3 - 6 Months

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In summary, here are 10 of our most popular tidyverse (r package) courses

  • Capstone Project: Applying UI/UX Design in the Real World : IBM
  • Functional Programming Principles in Scala: École Polytechnique Fédérale de Lausanne
  • Building Real-World Java Applications with Spring and Beyond: Packt
  • Linear Regression: Illinois Tech
  • Rust Basics and Core Concepts: Packt
  • Foundations of Business Strategy and Research: Coursera Instructor Network
  • Linux for Beginners: Packt
  • Data Science Fundamentals, Part 1: Pearson
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • Antibióticos ¿cuándo, cómo y para qué?: Universidad Nacional Autónoma de México

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