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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: New
      New
      Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Data Analytics and Deep Learning

      Skills you'll gain: NoSQL, Machine Learning Algorithms, Big Data, Apache Hadoop, Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Data Presentation, Generative AI, Data Infrastructure, Data Cleansing, Real Time Data, Apache Kafka, Artificial Neural Networks, Keras (Neural Network Library), PyTorch (Machine Learning Library), Tensorflow

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      25 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Business English Communication Skills

      Skills you'll gain: Oral Expression, Negotiation, Proposal Writing, Presentations, Sales Presentation, Persuasive Communication, Event Planning, Business Writing, Peer Review, Business Communication, Taking Meeting Minutes, Public Speaking, Business Planning, Business Correspondence, Microsoft PowerPoint, Meeting Facilitation, Verbal Communication Skills, Professional Networking, English Language, Communication

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

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Software Product Management

      Skills you'll gain: Requirements Analysis, Agile Software Development, Agile Methodology, Kanban Principles, Project Planning, Requirements Elicitation, Sprint Retrospectives, Requirements Management, Functional Requirement, Business Requirements, Sprint Planning, Software Development Methodologies, Software Development Life Cycle, Scrum (Software Development), Software Technical Review, Code Review, Software Development, Product Requirements, Risk Management Framework, User Story

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Specialization · 3 - 6 Months

    • N

      Nanjing University

      Data Processing Using Python

      Skills you'll gain: Data Processing, Data Mining, Data Structures, Data Presentation, Object Oriented Programming (OOP), Web Scraping, Data Analysis, Python Programming, Pandas (Python Package), NumPy, Data Visualization, Data Import/Export, Data Manipulation, Matplotlib, User Interface (UI) Design

      4.1
      Rating, 4.1 out of 5 stars
      ·
      374 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Digital Transformation Using AI/ML with Google Cloud

      Skills you'll gain: Serverless Computing, Digital Transformation, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Applied Machine Learning, Hybrid Cloud Computing, Infrastructure As A Service (IaaS), Cloud Computing, Public Cloud, Technical Management, Business Transformation, Containerization, Technology Strategies, Cloud-Native Computing, Multi-Cloud, IT Management, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.4K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Fundamentals of GIS

      Skills you'll gain: ArcGIS, GIS Software, Spatial Data Analysis, Data Sharing, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Metadata Management, Data Quality, Data Mapping, File Management, Data Presentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Automate Cybersecurity Tasks with Python

      Skills you'll gain: Debugging, Python Programming, Cybersecurity, Cyber Security Assessment, Scripting, Programming Principles, Algorithms, Automation, Integrated Development Environments, File Management, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Automatic Data Processing, Inc. (ADP)

      ADP Entry-Level Compensation and Benefits Analyst

      Skills you'll gain: Compensation Analysis, Compensation Management, Compensation Strategy, Job Evaluation, Benefits Administration, Data Collection, Compensation and Benefits, Job Analysis, Data-Driven Decision-Making, Microsoft Excel, Project Management, Data Analysis, Google Sheets, Human Resource Policies, Regulatory Compliance, Labor Compliance, Human Resource Strategy, Payroll, Human Resources, Timelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59 reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

      Illinois Tech

      Introduction to Data Science Techniques

      Skills you'll gain: Statistical Analysis, Time Series Analysis and Forecasting, Data Analysis, Machine Learning Algorithms, Data Visualization, Data Science, Exploratory Data Analysis, Data Presentation, Statistical Programming, Statistical Methods, Statistical Machine Learning, Data Cleansing, Applied Machine Learning, Analytics, Regression Analysis, R Programming, Statistical Software, Machine Learning, Forecasting, Statistical Modeling

      Build toward a degree

      4.2
      Rating, 4.2 out of 5 stars
      ·
      14 reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      Duke University

      Medical Neuroscience

      Skills you'll gain: Neurology, Anatomy, Medical Science and Research, Psychology, Pathology, Molecular Biology, Biology, Pharmacology

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.9K reviews

      Advanced · Course · 3 - 6 Months

    • T

      The University of Chicago

      Understanding the Brain: The Neurobiology of Everyday Life

      Skills you'll gain: Neurology, Psychology, Kinesiology, Anatomy, Behavioral Health, Human Learning, Human Development, Blood Pressure, Mental and Behavioral Health, Mental Health Diseases and Disorders, Respiration, Vital Signs, Biology, Speech Language Pathology

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Customer Analytics

      Skills you'll gain: Descriptive Analytics, Data-Driven Decision-Making, Marketing Analytics, Predictive Analytics, Customer Insights, Customer Analysis, Business Analytics, Customer Data Management, Analytics, Marketing, Data Collection, Market Research, Regression Analysis, Consumer Behaviour, Correlation Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      12K reviews

      Mixed · Course · 1 - 3 Months

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

    • Data Analytics and Deep Learning: Illinois Tech
    • Business English Communication Skills: University of Washington
    • Software Product Management: University of Alberta
    • Data Processing Using Python: Nanjing University
    • Digital Transformation Using AI/ML with Google Cloud: Google Cloud
    • Fundamentals of GIS: University of California, Davis
    • Automate Cybersecurity Tasks with Python: Google
    • ADP Entry-Level Compensation and Benefits Analyst: Automatic Data Processing, Inc. (ADP)
    • Introduction to Data Science Techniques: Illinois Tech
    • Medical Neuroscience: Duke 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)

    Frequently Asked Questions about Data Structures And Algorithms

    Top options include the Data Structures and Algorithm Specialization from the University of California, San Diego, and the Algorithms from Princeton University. These programs cover essential topics like linked lists, trees, sorting, dynamic programming, and algorithmic complexity.‎

    Yes. Many data structures and algorithms courses offer a free audit option, letting learners access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to upgrade or apply for financial aid.‎

    You’ll learn how to store and organize data efficiently using data structures like arrays, stacks, queues, and graphs, and how to solve problems using algorithms for searching, sorting, and graph traversal. Many courses also include practice coding exercises and real-world applications.‎

    Some experience with programming is helpful, as these courses typically include coding exercises in languages like Python, Java, or C++. Beginner-level courses often review coding basics before diving into more complex structures and techniques.‎

    Yes. These concepts are critical for software engineering, web development, data science, and technical interviews. Coursera courses can help you master key techniques, build a portfolio of coding solutions, and earn certificates that demonstrate your technical knowledge to employers.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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