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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
      I

      IBM

      AI Foundations for Everyone

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Responsible AI, ChatGPT, Workflow Management, Action Oriented, No-Code Development, Natural Language Processing, Business Workflow Analysis, Self Service Technologies, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), IBM Cloud, Machine Learning, Deep Learning, LLM Application, Business Intelligence, Artificial Intelligence, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      31K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Coding for Everyone: C and C++

      Skills you'll gain: C++ (Programming Language), Debugging, C (Programming Language), C and C++, Object Oriented Programming (OOP), Software Design Patterns, Code Review, Data Structures, Computer Programming, Algorithms, Command-Line Interface, Data-oriented programming, Programming Principles, Graph Theory, Computer Science, Computational Thinking, Artificial Intelligence, Integrated Development Environments, Software Technical Review, Game Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      9.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Statistical Inference, Statistical Hypothesis Testing, Data Processing, Data Access, Statistics, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Data Transformation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Initiating and Planning Projects

      Skills you'll gain: Stakeholder Management, Conflict Management, Project Management, Stakeholder Analysis, Project Planning, Project Management Life Cycle, Project Documentation, Project Scoping, Organizational Structure, Planning, Influencing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      24K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Fundamentals for Data Analysis

      Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Manipulation, Spreadsheet Software, Data Transformation, Data Validation, Data Analysis, Pivot Tables And Charts, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Michigan

      Data Science Ethics

      Skills you'll gain: Data Ethics, Informed Consent, Information Privacy, Personally Identifiable Information, Data Security, Data Governance, Ethical Standards And Conduct, Big Data, Responsible AI, Intellectual Property, Data Analysis, Social Studies, Sampling (Statistics)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Data Transformation, Data Manipulation, Data Science, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Course · 1 - 4 Weeks

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

      IBM

      IBM Back-End Development

      Skills you'll gain: Istio, Software Development Life Cycle, Open Web Application Security Project (OWASP), Linux Commands, Software Architecture, Kubernetes, Application Deployment, NoSQL, Bash (Scripting Language), MongoDB, Shell Script, Django (Web Framework), Object-Relational Mapping, Cloud-Native Computing, Git (Version Control System), Flask (Web Framework), Jupyter, Grafana, Microservices, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      51K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Introduction to Data Analytics

      Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Cleansing, Data Modeling, Analytics, Data Analysis, Data Visualization, Business Analytics, Data Validation, Exploratory Data Analysis, Data Quality, Data Manipulation, Generative AI, Data Collection, Data Management, Marketing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      953 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      Business Analytics with Excel: Elementary to Advanced

      Skills you'll gain: Risk Modeling, Operations Research, Regression Analysis, Microsoft Excel, Business Analytics, Risk Analysis, Business Process Modeling, Business Modeling, Data Modeling, Resource Allocation, Analysis, Statistical Analysis, Mathematical Modeling, Process Optimization, Financial Analysis, Statistical Methods, Predictive Analytics, Transportation Operations, Complex Problem Solving, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Big Data with Spark and Hadoop

      Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Distributed Computing, Performance Tuning, Data Transformation, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      454 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations of Digital Marketing and E-commerce

      Skills you'll gain: Data Storytelling, Performance Measurement, Search Engine Marketing, Content Performance Analysis, Data-Driven Decision-Making, Search Engine Optimization, Branding, Business Metrics, Marketing Strategy and Techniques, Digital Marketing, Customer Engagement, Customer experience strategy (CX), Marketing, E-Commerce, Email Marketing, Brand Awareness, Marketing Analytics, Target Audience, Social Media Marketing, Goal Setting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      29K reviews

      Beginner · Course · 1 - 4 Weeks

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

    • AI Foundations for Everyone: IBM
    • Coding for Everyone: C and C++: University of California, Santa Cruz
    • Exploratory Data Analysis for Machine Learning: IBM
    • Initiating and Planning Projects: University of California, Irvine
    • Excel Fundamentals for Data Analysis: Macquarie University
    • Data Science Ethics: University of Michigan
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • IBM Back-End Development: IBM
    • Introduction to Data Analytics: Meta
    • Business Analytics with Excel: Elementary to Advanced: Johns Hopkins University

    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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