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  • Python Data Science

Python Data Science Courses

Python Data Science courses can help you learn data manipulation, statistical analysis, machine learning, and data visualization. You can build skills in programming with Python, working with libraries like Pandas and NumPy, and applying algorithms to solve real-world problems. Many courses introduce tools such as Jupyter Notebooks for interactive coding, Matplotlib for creating visualizations, and Scikit-learn for implementing machine learning models, all of which enhance your ability to analyze and interpret complex data sets.


Popular Python Data Science Courses and Certifications


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    Coursera

    Agentic AI Content for Practitioners (Teams: Legal)

    Skills you'll gain: Agentic Workflows, Agentic systems, Contract Compliance, Organizational Change, Legal Technology, Change Management, Contract Review, AI Enablement, Compliance Reporting, Compliance Management, Workflow Management, Regulation and Legal Compliance, Scalability, Automation, Process Design, Risk Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Optimize and Manage Your ML Codebase

    Skills you'll gain: MLOps (Machine Learning Operations), Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Development Methodologies, Model Evaluation, Software Versioning, Release Management, Continuous Delivery, Performance Testing, PyTorch (Machine Learning Library), Performance Improvement

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Deep Learning Engineering

    Skills you'll gain: Model Deployment, Natural Language Processing, Debugging, Containerization, Kubernetes, Transfer Learning, Docker (Software), MLOps (Machine Learning Operations), Distributed Computing, Applied Machine Learning, PyTorch (Machine Learning Library), Vision Transformer (ViT), Tensorflow, Cloud Computing, Deep Learning, Performance Tuning, Model Evaluation, Artificial Neural Networks, Data Pipelines, Computer Vision

    Advanced · Specialization · 1 - 3 Months

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    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Feature Engineering, Probability & Statistics

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    4.6K reviews

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Analyze and Apply Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Agentic AI Protocols (MCP, A2A, ACP)

    Skills you'll gain: AI Orchestration, AI Workflows, Agentic Workflows, Agentic systems, Collaborative Software, System Design and Implementation, Interoperability, Communication Systems, Network Protocols, Scalability

    Mixed · Course · 1 - 4 Weeks

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    Whizlabs

    Fundamentals of Machine Learning

    Skills you'll gain: Supervised Learning, Unsupervised Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, AWS SageMaker, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Azure DevOps, Model Deployment, Microsoft Azure, Amazon Web Services, Deep Learning, Data Processing

    Intermediate · Course · 1 - 3 Months

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    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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    Universidad Nacional Autónoma de México

    Database systems

    Skills you'll gain: NoSQL, Data Warehousing, Relational Databases, Database Management, Extract, Transform, Load, SQL, Databases, Data Mining, Business Intelligence, Big Data, Database Architecture and Administration, Information Systems, Database Systems, MySQL, Predictive Analytics, Database Design, MongoDB, Data Modeling, Scalability, Database Management Systems

    4.3
    Rating, 4.3 out of 5 stars
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    696 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Ethical Governance & Risk in Agentic AI

    Skills you'll gain: Agentic systems, Responsible AI, Compliance Management, Governance, Regulatory Compliance, Artificial Intelligence, Risk Analysis, Case Studies, Business Ethics, Ethical Standards And Conduct, Risk Management, Accountability, Regulatory Requirements

    Intermediate · Course · 1 - 4 Weeks

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    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

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    Coursera

    Track and Evaluate ML Model Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Version Control, Large Language Modeling, Git (Version Control System), Data Management, Performance Testing, Dashboard, Machine Learning, Scripting, Performance Analysis, Technical Documentation

    Intermediate · Course · 1 - 4 Weeks

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

  • Agentic AI Content for Practitioners (Teams: Legal): Coursera
  • Optimize and Manage Your ML Codebase: Coursera
  • Deep Learning Engineering: Coursera
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • Analyze and Apply Deep Learning for Computer Vision: EDUCBA
  • Agentic AI Protocols (MCP, A2A, ACP): Coursera
  • Fundamentals of Machine Learning: Whizlabs
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Database systems: Universidad Nacional Autónoma de México
  • Ethical Governance & Risk in Agentic AI: Coursera

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Sql (33)
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Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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