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.

Edureka
Skills you'll gain: Prompt Engineering, Multimodal Prompts, Prompt Patterns, Prompt Engineering Tools, LLM Application, LangChain, Large Language Modeling, Responsible AI, Generative AI Agents, OpenAI, Generative AI, AI Personalization, Context Management, Natural Language Processing, CI/CD, Python Programming, Pandas (Python Package), Scalability, Application Development, Safety and Security
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Threat Modeling, Threat Management, Vulnerability Management, Cyber Threat Intelligence, Cybersecurity, Cyber Attacks, Vulnerability Assessments, Threat Detection, MITRE ATT&CK Framework, Data Security, Cyber Risk, NIST 800-53, Authorization (Computing), Authentications, Security Strategy, Security Controls, Risk Management Framework, Identity and Access Management, Encryption, Cryptography
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: User Interface (UI), Computational Thinking, HTML and CSS, Interactive Design, Web Development, Programming Principles, Web Design, Javascript, Event-Driven Programming, Computer Programming, Algorithms, Image Analysis, Cascading Style Sheets (CSS), Debugging
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Debugging, File I/O, Programming Principles, Maintainability, Software Testing, Program Development, C (Programming Language), Algorithms, Simulations, System Programming, Computer Programming, Data Structures, Software Development, Software Engineering, Command-Line Interface, Development Environment, User Interface (UI), Solution Design, Problem Solving, Software Design
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: NumPy, Matplotlib, Statistical Methods, Data Visualization, Python Programming, Pandas (Python Package), Seaborn, Machine Learning, Applied Mathematics, Statistical Analysis, Exploratory Data Analysis, Data Science, Probability, Regression Analysis, Linear Algebra, Data Manipulation, Calculus
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation
Intermediate · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Multimodal Prompts, Prompt Engineering, Data Presentation, ChatGPT, AI Enablement, Generative AI Agents, Generative AI, Email Automation, Data Analysis, Concision, Ideation, Artificial Intelligence, Business Correspondence, Complex Problem Solving, Report Writing, Solution Design, Document Management, Critical Thinking, Machine Learning
Beginner · Specialization · 1 - 4 Weeks

Skills you'll gain: Snowflake Schema, Model Deployment, Data Pipelines, Pandas (Python Package), Data Import/Export, Data Transformation, Large Language Modeling, Data Processing, Containerization, Python Programming, MLOps (Machine Learning Operations), Application Deployment, Application Development, Data Science, Cloud Computing, SQL, Data Analysis, Machine Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Image Analysis, Data Preprocessing, Applied Machine Learning, Model Deployment
Intermediate · Professional Certificate · 3 - 6 Months

Coursera
Skills you'll gain: Financial Modeling, Descriptive Statistics, Data Literacy, Financial Forecasting, Financial Analysis, Capital Expenditure, Portfolio Risk, Corporate Finance, Business Planning, Data Cleansing, Regression Analysis, Exploratory Data Analysis, Risk Analysis, Data Analysis, Risk Management, Predictive Modeling, R Programming, Statistical Analysis, Machine Learning, Python Programming
Intermediate · Specialization · 3 - 6 Months

University of California, Davis
Skills you'll gain: Search Engine Optimization, Persona Development, Web Analytics and SEO, Keyword Research, Target Audience, Branding, Target Market, Digital Marketing, Social Media Strategy, Content Strategy, Brand Awareness, Consumer Behaviour, User Research, Algorithms, Data Analysis, Business Reporting
Beginner · Course · 1 - 4 Weeks