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  • Data Analysis With Python

Data Analysis With Python Courses

Data Analysis with Python courses can help you learn data manipulation, statistical analysis, data visualization, and machine learning basics. You can build skills in working with datasets, interpreting results, and communicating findings effectively. Many courses introduce tools like Pandas for data handling, Matplotlib and Seaborn for visualization, and Scikit-learn for implementing machine learning algorithms. These skills and tools empower you to analyze complex data sets and derive actionable insights across various domains.


Popular Data Analysis With Python Courses and Certifications


  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Back-End Developer

    Skills you'll gain: Django (Web Framework), Full-Stack Web Development, Version Control, Restful API, Data Structures, Unix Commands, Bootstrap (Front-End Framework), Git (Version Control System), API Testing, Back-End Web Development, GitHub, Relational Databases, Front-End Web Development, Object Oriented Programming (OOP), Database Management Systems, Code Reusability, SQL, Python Programming, Computer Programming, Cloud Hosting

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.9K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), GitHub Copilot, Responsible AI, Model Deployment, Containerization, Web Frameworks, Rust (Programming Language), AI Workflows, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, Cloud-Native Computing, Machine Learning, Serverless Computing, Application Deployment, GitHub, Command-Line Interface, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    220 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    SAS

    Statistical Thinking for Industrial Problem Solving, presented by JMP

    Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistics, Statistical Process Controls, Data Literacy, Statistical Software, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistical Hypothesis Testing, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Analytical Skills, SAS (Software), Data Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    100 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Campus BBVA

    Business Analytics

    Skills you'll gain: Data Storytelling, Data Presentation, Data-Driven Decision-Making, Data Visualization, Business Analytics, Dashboard, Data Quality, Data Analysis, Descriptive Statistics, Analytics, Data Management, Probability & Statistics, Statistical Inference, Analysis, Statistics, Descriptive Analytics, Big Data, Statistical Hypothesis Testing, Statistical Analysis, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    229 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    294 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Systems Development, Simulations, Solution Architecture, Agentic systems, Feature Engineering, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Decision Intelligence, Supervised Learning, Algorithms, Model Evaluation, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, AI literacy, Decision Intelligence, Applied Machine Learning, Generative Model Architectures, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Embeddings, Image Analysis, Machine Learning Methods, Scientific Visualization, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    83 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Computational Social Science Methods

    Skills you'll gain: Social Network Analysis, Social Sciences, Network Analysis, Data Science, Machine Learning, Machine Learning Methods, Computational Thinking, Economics, Policy, and Social Studies, Artificial Intelligence, Data Analysis, Social Impact, Simulations, Big Data, Data Collection, Scientific Methods, Digital Analysis, Digital Transformation

    4.7
    Rating, 4.7 out of 5 stars
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    354 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    AI for Writing and Communicating

    Skills you'll gain: Google Gemini, AI literacy, Report Writing, Public Speaking, Google Workspace, AI Personalization, Persona Development, AI Enablement, AI Workflows, Generative AI, Management Reporting, Stakeholder Analysis, Artificial Intelligence, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
    ·
    133 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Generative AI, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Model Training, Bayesian Network, Transfer Learning, Convolutional Neural Networks, Computer Programming, Model Optimization, Data Validation, Applied Machine Learning, Bayesian Statistics, Supervised Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    722 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Agentic AI and AI Agents: A Primer for Leaders

    Skills you'll gain: Generative AI Agents, Agentic Workflows, AI Workflows, Workflow Management, AI Enablement, Agentic systems, Artificial Intelligence, Business Process Automation, Email Automation, Generative AI, AI literacy, Automation, Prompt Engineering, Decision Intelligence, Tool Calling, Emerging Technologies

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize AI: Fine-Tune & Maximize Accuracy

    Skills you'll gain: Fine-tuning, Vision Transformer (ViT), Model Deployment, Model Optimization, Model Training, MLOps (Machine Learning Operations), Keras (Neural Network Library), Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

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

  • Meta Back-End Developer: Meta
  • DevOps, DataOps, MLOps: Duke University
  • Statistical Thinking for Industrial Problem Solving, presented by JMP: SAS
  • Business Analytics: Campus BBVA
  • Deep Learning and Reinforcement Learning: IBM
  • Reinforcement Learning: University of Alberta
  • Explainable AI (XAI): Duke University
  • Computational Social Science Methods: University of California, Davis
  • AI for Writing and Communicating: Google
  • TensorFlow 2 for Deep Learning: Imperial College London

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