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    • Data Structures And Algorithms

    Data Structures and Algorithms Courses

    Data structures and algorithms courses can help you learn how to organize data and solve problems efficiently—core skills for programming, software development, and technical interviews.

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    Find the Best Data Structures And Algorithms Course for Your Goals

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Data Visualization with Tableau

      Skills you'll gain: Dashboard, Proposal Development, Data Storytelling, Data Presentation, Data Visualization, Tableau Software, Data Visualization Software, Key Performance Indicators (KPIs), Predictive Analytics, Interactive Data Visualization, Advanced Analytics, Data Analysis, Stakeholder Engagement, Data Literacy, Exploratory Data Analysis, Data-Driven Decision-Making, Visualization (Computer Graphics), Graphic and Visual Design, Data Ethics, Storyboarding

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Data Structures and Algorithms

      Skills you'll gain: Graph Theory, Algorithms, Data Structures, Programming Principles, Theoretical Computer Science, Computer Programming

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Natural Language Processing, Keras (Neural Network Library), Data-Driven Decision-Making, Large Language Modeling, Technical Management, Applied Machine Learning, Machine Learning, Debugging, Supervised Learning, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, PyTorch (Machine Learning Library), Machine Learning Algorithms, Test Data

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      What is Data Science?

      Skills you'll gain: Data Literacy, Data Mining, Data Analysis, Data Science, Data-Driven Decision-Making, Big Data, Data Management, Analytics, Data Storage, Machine Learning, Deep Learning, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      76K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM DevOps and Software Engineering

      Skills you'll gain: CI/CD, Systems Development Life Cycle, Serverless Computing, Open Web Application Security Project (OWASP), Software Development Life Cycle, Agile Software Development, Test Driven Development (TDD), OpenShift, Agile Methodology, Linux Commands, GitHub, Software Architecture, DevOps, Containerization, Software Engineering, Cloud Computing Architecture, Flask (Web Framework), System Monitoring, Jupyter, Application Development

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      62K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      R Programming

      Skills you'll gain: R Programming, Software Installation, Statistical Programming, Programming Principles, Performance Tuning, Simulations, Debugging, Scripting, Data Manipulation, Statistical Analysis, Data Analysis, Data Structures

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python Project for Data Science

      Skills you'll gain: Dashboard, Web Scraping, Jupyter, Pandas (Python Package), Interactive Data Visualization, Data Structures, Data Processing, Data Science, Python Programming, Data Analysis, Data Capture, NumPy, Data Manipulation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4.7K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Business Analyst

      Skills you'll gain: Business Analysis, Requirements Elicitation, Business Process Modeling, Data Storytelling, Stakeholder Management, Process Mapping, Pivot Tables And Charts, Agile Methodology, Requirements Management, Digital Transformation, Dashboard, Requirements Analysis, Work Breakdown Structure, Business Requirements, Stakeholder Engagement, Data Cleansing, Excel Formulas, Business Analytics, Business Workflow Analysis, Business Systems Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Advanced Data Analytics

      Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Regression Analysis, Statistical Analysis, Data Ethics, Statistics, Unsupervised Learning, Data Presentation, Data Visualization Software, Data Visualization, Data Analysis, Machine Learning, Data Manipulation, Data Science, Tableau Software, Interviewing Skills, Python Programming, Advanced Analytics

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.8K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U
      I
      I

      Multiple educators

      Data Science Foundations

      Skills you'll gain: Pseudocode, Data Literacy, Algorithms, Dashboard, Data Mining, Jupyter, Correlation Analysis, Pandas (Python Package), Plot (Graphics), Web Scraping, Data Analysis Software, Data Visualization Software, Data Analysis, Statistical Programming, Data Science, Data Collection, Machine Learning Algorithms, Unsupervised Learning, Machine Learning, Project Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      114K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Rmarkdown, Shiny (R Package), Exploratory Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Predictive Modeling, Regression Analysis, Plot (Graphics), Knitr, Statistical Analysis, Machine Learning Algorithms, R Programming, Statistical Methods, Plotly, Data Manipulation, Statistical Visualization, Statistical Modeling, Data Science, Machine Learning, GitHub

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Data Science with Python

      Skills you'll gain: Data Visualization, Matplotlib, Network Analysis, Machine Learning Algorithms, Supervised Learning, Pandas (Python Package), Data Visualization Software, Text Mining, Interactive Data Visualization, Plot (Graphics), Applied Machine Learning, Scikit Learn (Machine Learning Library), Visualization (Computer Graphics), Data Presentation, Statistical Methods, Data Manipulation, Network Model, Graph Theory, Natural Language Processing, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      34K reviews

      Intermediate · Specialization · 3 - 6 Months

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    1…567…834

    In summary, here are 10 of our most popular data structures and algorithms courses

    • Data Visualization with Tableau: University of California, Davis
    • Advanced Data Structures and Algorithms: Packt
    • Deep Learning: DeepLearning.AI
    • What is Data Science? : IBM
    • IBM DevOps and Software Engineering: IBM
    • R Programming: Johns Hopkins University
    • Python Project for Data Science: IBM
    • IBM Business Analyst: IBM
    • Google Advanced Data Analytics: Google
    • Data Science Foundations: University of London

    Why Learn Data Structures and Algorithms?

    Data structures and algorithms form the foundation of computer science, enabling efficient data management and problem-solving. They are essential for writing optimized code, building scalable applications, and succeeding in coding interviews. Learning data structures and algorithms can sharpen your analytical thinking and strengthen your programming skills across languages and platforms.

    Skills you can learn in Algorithms

    Graphs (22)
    Mathematical Optimization (21)
    Computer Program (20)
    Data Structure (19)
    Problem Solving (19)
    Algebra (12)
    Computer Vision (10)
    Discrete Mathematics (10)
    Graph Theory (10)
    Image Processing (10)
    Linear Algebra (10)
    Reinforcement Learning (10)

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