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Data Structures And Algorithms Courses

Data Structures and Algorithms courses can help you learn about arrays, linked lists, trees, and graph structures, along with sorting and searching algorithms. You can build skills in problem-solving, optimizing code efficiency, and analyzing algorithm complexity. Many courses introduce tools like Python, Java, or C++ for implementing these concepts, as well as platforms for coding challenges that reinforce your understanding through practical application.


Popular Data Structures And Algorithms Courses and Certifications


  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Science with NumPy, Sets, and Dictionaries

    Skills you'll gain: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Exploratory Data Analysis, Image Analysis, Data Science, Data Transformation, Data Manipulation, Big Data, Performance Tuning, Python Programming, Data Import/Export

    3.9
    Rating, 3.9 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Exploratory Data Analysis With Python and Pandas

    Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Statistical Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    442 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Data Analysis with Pandas and Python

    Skills you'll gain: Pandas (Python Package), Data Import/Export, Matplotlib, Pivot Tables And Charts, Jupyter, Data Visualization Software, Data Visualization, Microsoft Excel, Data Analysis, Text Mining, Data Manipulation, Data Cleansing, NumPy, Data Analysis Software, Data Wrangling, Time Series Analysis and Forecasting, Python Programming, Data Preprocessing, Data Structures, Development Environment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    41 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    Starweaver

    GenAI Data Engineering and RAG Systems

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, AI Personalization, Data Engineering, System Monitoring, Generative AI, Prompt Engineering, Data Processing, AI Workflows, Scalability, Data Architecture, Data Pipelines, Embeddings, Performance Tuning, Continuous Monitoring, Database Systems, Talent Pipelining, Process Optimization, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Scientist Career Guide and Interview Preparation

    Skills you'll gain: Professional Networking, Interviewing Skills, Professional Development, Presentations, Data Science, Company, Product, and Service Knowledge, Recruitment, Writing, Business Research, Portfolio Management, Data Analysis, Job Analysis, Problem Solving, Communication, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    353 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analyst Career Guide and Interview Preparation

    Skills you'll gain: Professional Networking, Interviewing Skills, LinkedIn, Professional Development, Data Analysis, Recruitment, Data Storytelling, Relationship Building, Presentations, Analytical Skills, Portfolio Management, Business Writing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    753 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Artificial Intelligence Data Fairness and Bias

    Skills you'll gain: Data Ethics, Responsible AI, Data Collection, Game Theory, Data Preprocessing, Machine Learning, Algorithms, Artificial Intelligence, Model Evaluation, Social Justice, Predictive Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    121 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    Eindhoven University of Technology

    RF and millimeter-Wave Circuit Design

    Skills you'll gain: Electronics Engineering, Electronics, Telecommunications, Electronic Systems, Electronic Components, Hardware Design, Communication Systems, Wireless Networks, Electronic Hardware, Simulation and Simulation Software, Simulations, Laboratory Experience

    4.7
    Rating, 4.7 out of 5 stars
    ·
    244 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Source Systems, Data Ingestion, and Pipelines

    Skills you'll gain: Apache Airflow, Data Pipelines, Dataflow, Data Integration, Infrastructure as Code (IaC), Terraform, Extract, Transform, Load, Amazon CloudWatch, IT Automation, Data Quality, Amazon Web Services, CI/CD, Data Processing, Data Transformation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    128 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    Build toward a degree

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    186 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Business Finance and Data Analysis Fundamentals

    Skills you'll gain: Capital Budgeting, Cash Flows, Probability & Statistics, Finance, Financial Statements, Microsoft Excel, Descriptive Statistics, Financial Accounting, Business Analytics, Box Plots, Probability Distribution, Data Visualization, Probability, Statistics, Ledgers (Accounting), Financial Analysis, Business Valuation, Business Mathematics, Financial Management, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Beginner · Specialization · 3 - 6 Months

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1…424344…834

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

  • Data Science with NumPy, Sets, and Dictionaries: Duke University
  • Exploratory Data Analysis With Python and Pandas: Coursera
  • Data Analysis with Pandas and Python: Packt
  • GenAI Data Engineering and RAG Systems: Starweaver
  • Data Scientist Career Guide and Interview Preparation: IBM
  • Data Analyst Career Guide and Interview Preparation: IBM
  • Artificial Intelligence Data Fairness and Bias : LearnQuest
  • RF and millimeter-Wave Circuit Design: Eindhoven University of Technology
  • Source Systems, Data Ingestion, and Pipelines: DeepLearning.AI
  • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh

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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