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  • Algorithm Python

Algorithm Python Courses

Algorithm Python courses can help you learn sorting algorithms, search algorithms, and data structures like trees and graphs. You can build skills in problem-solving, optimizing code efficiency, and implementing algorithms in real-world applications. Many courses introduce tools such as Jupyter Notebooks and libraries like NumPy and Pandas, that support applying algorithms in data analysis and artificial intelligence projects.


Popular Algorithm Python Courses and Certifications


  • A

    Arm

    Embedded Systems on Arm: Get Started with the micro:bit

    Skills you'll gain: Event-Driven Programming, Embedded Systems, Embedded Software, Interactive Design, Prototyping, Internet Of Things, Program Development, System Design and Implementation, Peripheral Devices, Simulations, Python Programming, Computer Programming

    Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Sequences, Time Series and Prediction

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Data Preprocessing, Artificial Neural Networks, Forecasting, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Exploratory Data Analysis for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Data Processing, Applied Machine Learning, Data Access, Statistics, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Data Science, Data Wrangling, Machine Learning, Probability & Statistics, Data Import/Export, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.6K reviews

    Intermediate · Course · 1 - 3 Months

  • A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Model Optimization, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Machine Learning Methods, Classification Algorithms, Model Training, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Statistical Machine Learning, Data Validation, Machine Learning, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Model Training, Machine Learning Methods, Feature Engineering, Supervised Learning, Machine Learning Software, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Artificial Neural Networks, Transfer Learning, Unsupervised Learning, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Fine-tuning, Generative Model Architectures, Applied Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Logistic Regression

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.2K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Model Optimization, Machine Learning Methods, Applied Mathematics, Calculus, Applied Machine Learning, Numerical Analysis, Mathematical Modeling, Machine Learning, Data Visualization, Python Programming, Artificial Neural Networks, Deep Learning, Computer Programming, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    956 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Programming Fundamentals

    Skills you'll gain: Programming Principles, Algorithms, C (Programming Language), Computer Programming, Program Development, Problem Solving, Solution Design, Computational Logic

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7K reviews

    Beginner · Course · 1 - 4 Weeks

  • É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing

    Skills you'll gain: Digital Signal Processing, Digital Communications, Communication Systems, Image Analysis, Telecommunications, Electrical Engineering, Electrical and Computer Engineering, Electronics Engineering, Embedded Systems, Electronic Hardware, Electronics, Numerical Analysis, Systems Analysis, Algorithms, Linear Algebra, Mathematical Modeling, Jupyter

    4.5
    Rating, 4.5 out of 5 stars
    ·
    812 reviews

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Advanced Algorithms, Dynamic Programming & Graph Algorithms

    Skills you'll gain: Graph Theory, Algorithms, Game Theory, Data Structures, Computer Programming, Computational Thinking, Problem Solving

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Advanced Model Architectures & Language AI

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Data Analysis, Applied Machine Learning, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Model Training, Fine-tuning, Model Deployment, Generative AI, Text Mining, Prompt Engineering, Deep Learning, Random Forest Algorithm, Machine Learning, MLOps (Machine Learning Operations)

    Intermediate · Course · 3 - 6 Months

  • I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Machine Learning Methods, Statistical Hypothesis Testing, Model Training, Data Processing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Specialization · 3 - 6 Months

1…707172…284

In summary, here are 10 of our most popular algorithm python courses

  • Embedded Systems on Arm: Get Started with the micro:bit: Arm
  • Sequences, Time Series and Prediction: DeepLearning.AI
  • Exploratory Data Analysis for Machine Learning: IBM
  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • Practical Machine Learning: Johns Hopkins University
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Programming Fundamentals: Duke University
  • Digital Signal Processing: École Polytechnique Fédérale de Lausanne
  • Advanced Algorithms, Dynamic Programming & Graph Algorithms: Packt

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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