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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


  • C

    Coursera

    Satellite Imagery, Remote Sensing & Machine Learning

    Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Matplotlib, Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Plot (Graphics), Supervised Learning, Environmental Monitoring, Geospatial Information and Technology, Scientific Visualization, Predictive Modeling, Deep Learning, Geospatial Mapping, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Track Marketing Goals with Google Analytics

    Skills you'll gain: Google Analytics, Web Analytics, Marketing Analytics, Conversion Funnel Analysis, Google Ads, Marketing Effectiveness, Web Analytics and SEO, Smart Goals, Data-Driven Marketing, Customer Analysis, Digital Marketing, Customer Insights, Analytics, Goal Setting, Trend Analysis, Campaign Planning, Strategic Marketing, Data Analysis, Performance Metric, Data Integration

    Beginner · Course · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Geospatial Foundations & Vector Analysis

    Skills you'll gain: GIS Software, Geographic Information Systems, Spatial Data Analysis, Geospatial Information and Technology, Spatial Analysis, Geospatial Mapping, Data Validation, Metadata Management, Data Quality, Verification And Validation, File Management, Package and Software Management, Development Environment, Software Installation

    Beginner · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    Edureka

    AutoML: Build ML Models without Code

    Skills you'll gain: Image Analysis, Model Deployment, Reinforcement Learning, Google Cloud Platform, Computer Vision, No-Code Development, Feature Engineering, Applied Machine Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Google Sheets, Deep Learning, Machine Learning Software, Cloud Deployment, Convolutional Neural Networks, Model Evaluation, Predictive Modeling, Machine Learning, Data Science

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Visualization, Web Mapping & Cloud GIS

    Skills you'll gain: Geospatial Information and Technology, Interactive Data Visualization, Geospatial Mapping, Geographic Information Systems, Graphic and Visual Design, Spatial Data Analysis, Design Elements And Principles, Generative AI, Color Theory, AI Workflows, Usability

    Beginner · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Neuroscience and Neuroimaging

    Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Diagnostic Radiology, Anatomy, Image Analysis, Data Analysis, Correlation Analysis, Data Manipulation, R (Software), Radiology, Experimentation, Research Design, Laboratory Research, Statistical Analysis, Image Quality, Advanced Analytics, R Programming, Statistical Methods, Statistics

    ★ 4.7 (3.3K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Gradient to Production: MLOps & Model Serving

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Regression Testing, Kubernetes, Docker (Software), Feature Engineering, Containerization, Software Documentation, Data Pipelines, Git (Version Control System), Apache Airflow, Technical Documentation, Microservices, CI/CD, Unit Testing, API Design, Performance Metric, Python Programming, Version Control, Verification And Validation

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Foundations of Probability and Statistics

    Skills you'll gain: Probability, Statistical Inference, Estimation, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Bayesian Statistics, Markov Model, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Machine Learning Methods, Generative AI, Data Analysis, Correlation Analysis, Data Science, Machine Learning Algorithms, Mathematical Theory & Analysis

    ★ 4.4 (349) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • D

    DeepLearning.AI

    Sequence Models

    Skills you'll gain: Recurrent Neural Networks (RNNs), Hugging Face, Natural Language Processing, Generative AI, Artificial Neural Networks, Embeddings, Large Language Modeling, Deep Learning, Transfer Learning, Fine-tuning, Data Preprocessing

    ★ 4.8 (31K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Validation, Data Quality

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Desktop GIS & Spatial Databases

    Skills you'll gain: GIS Software, Geospatial Mapping, Geographic Information Systems, Spatial Data Analysis, Spatial Analysis, Geospatial Information and Technology, Database Systems, SQL, PostgreSQL, Data Validation, Query Languages, Data Integration, Data Mapping, Scripting, Performance Tuning

    Beginner · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • S

    SAS

    SAS Programmer

    Skills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Statistical Reporting, Data Analysis, Data Transformation, Requirements Analysis, Data Validation, Statistical Analysis, Exploratory Data Analysis, Data Wrangling, Statistical Programming, Data Analysis Software, Data Processing, Data Preprocessing, Data Integration, Statistical Software, SQL

    ★ 4.8 (3.5K) · Beginner · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
1…215216217…834

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

  • Satellite Imagery, Remote Sensing & Machine Learning: Coursera
  • Track Marketing Goals with Google Analytics: Coursera
  • Geospatial Foundations & Vector Analysis : Coursera
  • AutoML: Build ML Models without Code: Edureka
  • Visualization, Web Mapping & Cloud GIS: Coursera
  • Neuroscience and Neuroimaging: Johns Hopkins University
  • Gradient to Production: MLOps & Model Serving: Coursera
  • Foundations of Probability and Statistics: University of Colorado Boulder
  • Sequence Models: DeepLearning.AI
  • Getting Started with Automated Machine Learning (AutoML): Edureka

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Data Modeling (21)
Data Manipulation (20)

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