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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


  • C

    Coursera

    Deep Learning with PyTorch : GradCAM

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Heat Maps, Model Evaluation, Image Analysis, Deep Learning, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • S

    Scrimba

    Vibe Coding with GitHub Copilot

    Skills you'll gain: Vibe coding, Microsoft Copilot, GitHub, Code Review, AI Personalization, Prompt Engineering, LLM Application, Integrated Development Environments, Computer Programming Tools, Application Development, Software Development, Web Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    30 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Digital Transformation with Google Cloud

    Skills you'll gain: Digital Transformation, Cloud Services, Cloud Infrastructure, Infrastructure As A Service (IaaS), Cloud Computing, Public Cloud, Business Transformation, Technology Strategies, Google Cloud Platform, Software As A Service, Platform As A Service (PaaS), Hybrid Cloud Computing, Cloud Security, Multi-Cloud, Operating Expense

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.6K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Facial Expression Recognition with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Computer Vision, Model Evaluation, Data Preprocessing, Classification Algorithms

    3.9
    Rating, 3.9 out of 5 stars
    ·
    60 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Evaluate and Reproduce Data Findings Fast

    Skills you'll gain: Sample Size Determination, Data Strategy, Analytical Skills, Data-Driven Decision-Making, Data Analysis, Analytics, Jupyter, Data Science, Statistical Analysis, Data Collection, Data Mining, Data Management, MLOps (Machine Learning Operations), Research and Design, Version Control, Software Documentation

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Glasgow

    Data mining of Clinical Databases - CDSS 1

    Skills you'll gain: Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Data Mining, Medical Records, Clinical Informatics, Descriptive Analytics, Database Design, Electronic Medical Record, Precision Medicine, Analytics, Relational Databases, Patient Flow, Exploratory Data Analysis, Predictive Analytics, Descriptive Statistics, Predictive Modeling, SQL, Interoperability, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • T

    Tsinghua University

    Data Structures and Algorithms (IV)

    Skills you'll gain: Data Structures, Algorithms, Pseudocode, Theoretical Computer Science, Computer Programming

    2.7
    Rating, 2.7 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Calculus through Data & Modelling: Vector Calculus

    Skills you'll gain: Integral Calculus, Calculus, Data Integration, Vector Databases, Mathematical Theory & Analysis, Advanced Mathematics, Applied Mathematics, Mathematical Modeling, Spatial Data Analysis, Geometry, Physics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    50 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution, Calculus

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Predictive Models: Build, Explore Data & Deploy

    Skills you'll gain: Model Evaluation, Data Preprocessing, Model Deployment, Risk Modeling, Logistic Regression, Statistical Analysis, Performance Metric

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Choose Optimal Data Structures for ML

    Skills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Performance Testing, Tree Maps, Benchmarking, Graph Theory, Program Implementation

    Advanced · Course · 1 - 4 Weeks

  • I

    IBM

    COBOL Programming with VSCode

    Skills you'll gain: COBOL (Programming Language), Integrated Development Environments, Business Logic, Mainframe Computing, Programming Principles, Computer Programming Tools, Computer Programming, File I/O, Data Management, Maintainability, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    192 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Deep Learning with PyTorch : GradCAM: Coursera
  • Vibe Coding with GitHub Copilot: Scrimba
  • Digital Transformation with Google Cloud: Google Cloud
  • Facial Expression Recognition with PyTorch : Coursera
  • Evaluate and Reproduce Data Findings Fast: Coursera
  • Data mining of Clinical Databases - CDSS 1: University of Glasgow
  • Data Structures and Algorithms (IV): Tsinghua University
  • Calculus through Data & Modelling: Vector Calculus: Johns Hopkins University
  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
  • Predictive Models: Build, Explore Data & Deploy: EDUCBA

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