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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


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    U

    Universidad Nacional Autónoma de México

    Estadística y probabilidad

    Skills you'll gain: Descriptive Statistics, Data Analysis, Correlation Analysis, Statistical Analysis, Data Presentation, Statistical Visualization, Probability, Histogram, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, Box Plots, Graphing, Scatter Plots

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.7K reviews

    Beginner · Course · 1 - 4 Weeks

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    C

    Coursera

    Compare User Behavior with Segments

    Skills you'll gain: Web Analytics, Customer Engagement, Technical Communication, Campaign Management, Analysis, Strategic Marketing, Performance Metric, Business Metrics, Data-Driven Decision-Making, Descriptive Analytics, Stakeholder Communications

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Alberta

    A Complete Reinforcement Learning System (Capstone)

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Simulations, Model Evaluation, Performance Testing, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Markov Model, Algorithms, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
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    649 reviews

    Intermediate · Course · 1 - 3 Months

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    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    1.4K reviews

    Advanced · Course · 1 - 3 Months

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    G

    Google

    Discover the Art of Prompting

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Model Evaluation, Content Creation

    4.9
    Rating, 4.9 out of 5 stars
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    1.9K reviews

    Beginner · Course · 1 - 4 Weeks

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    I

    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
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    5.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Design Thinking, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    354 reviews

    Advanced · Specialization · 3 - 6 Months

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    U

    University of Colorado Boulder

    Introduction to Deep Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Intelligence and Machine Learning (AI/ML), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Large Language Modeling, Natural Language Processing, Embeddings, Network Model, Network Architecture

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Duke University

    Managing Machine Learning Projects

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Project Management Life Cycle, Data Quality, Model Deployment, Data Preprocessing, Technical Management, Applied Machine Learning, Project Management, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Cleansing, Model Evaluation, Market Opportunities, Data Pipelines, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science

    4.8
    Rating, 4.8 out of 5 stars
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    324 reviews

    Beginner · Course · 1 - 3 Months

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    I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Data Science, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.6
    Rating, 4.6 out of 5 stars
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    301 reviews

    Beginner · Course · 1 - 4 Weeks

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    New
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    C

    Coursera

    Optimize AI Inference Speed & Accuracy

    Skills you'll gain: Model Deployment, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Network Performance Management, Convolutional Neural Networks, Keras (Neural Network Library), Network Model, Project Performance

    Intermediate · Course · 1 - 4 Weeks

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    N

    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Algorithms, Machine Learning, Data Validation, Logistic Regression, Algorithms, Data Preprocessing, Feature Engineering, Applied Machine Learning, Verification And Validation, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    331 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Estadística y probabilidad: Universidad Nacional Autónoma de México
  • Compare User Behavior with Segments: Coursera
  • A Complete Reinforcement Learning System (Capstone): University of Alberta
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Discover the Art of Prompting: Google
  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
  • IBM AI Enterprise Workflow: IBM
  • Introduction to Deep Learning: University of Colorado Boulder
  • Managing Machine Learning Projects: Duke University
  • Machine Learning Introduction for Everyone: IBM

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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