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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


  • Status: Preview
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    U

    University of London

    Probability and Statistics: To p or not to p?

    Skills you'll gain: Descriptive Statistics, Probability & Statistics, Exploratory Data Analysis, Statistical Methods, Statistical Hypothesis Testing, Data Visualization, Operations Research, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Statistical Analysis, Sampling (Statistics), Risk Modeling, Statistical Inference, Mathematical Modeling, Decision Tree Learning, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Beginner · Course · 1 - 3 Months

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    S

    SkillsBooster Academy

    Prompt Engineering for ChatGPT

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative AI Agents, Large Language Modeling, AI Workflows, AI Orchestration, Token Optimization, LLM Application, Agentic systems, Responsible AI, Artificial Intelligence, Business Process Automation, Artificial Intelligence and Machine Learning (AI/ML), Proactivity, Organizational Skills, Organizational Development, Business Technologies

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    The R Programming Environment

    Skills you'll gain: R (Software), Tidyverse (R Package), Web Scraping, Data Manipulation, Data Wrangling, R Programming, Data Transformation, Memory Management, Data Cleansing, Data Science, Statistical Programming, Data Integration, Data Processing, Text Mining, Data Import/Export, Data Analysis, Web Services, Data Structures, Application Programming Interface (API)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

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    Packt

    Docker for AI/ML

    Skills you'll gain: Model Context Protocol, Docker (Software), Development Environment, LLM Application, Containerization, Large Language Modeling, Model Deployment, Hugging Face, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, OpenAI API, Application Deployment, Agentic Workflows, AI Integrations, Agentic systems, Jupyter

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Capstone Project with Deep Learning

    Skills you'll gain: Transfer Learning, Model Evaluation, Fine-tuning, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Model Training, PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Optimization, Data Preprocessing, Computer Vision, Geospatial Information and Technology, Machine Learning, Data Pipelines, Artificial Intelligence, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    693 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    C

    Coursera

    Dashboard Win Drivers

    Skills you'll gain: Dashboard, Dashboard Creation, Sales Process, Sales, Customer Relationship Management (CRM) Software, Data Transformation, Data-Driven Decision-Making, Customer Relationship Management, Data Presentation, Analytics, Performance Analysis, Pivot Tables And Charts, Analysis, Power BI, Predictive Analytics, Performance Metric, Business Metrics, Visualization (Computer Graphics), Negotiation

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    C

    Coursera

    GenAI Ops: Running Powerful Generative AI Systems

    Skills you'll gain: Model Optimization, Cloud Security, Stakeholder Communications, Stakeholder Management, Stakeholder Engagement, Risking, Data Ethics, Data Governance, Data Security, Enterprise Architecture, Dashboard Creation, Generative Model Architectures, Executive Presence, Security Architecture Review, Professional Development, Data Management, Financial Forecasting, Application Deployment, Continuous Deployment, Incident Management

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
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    C

    Coursera

    Vector Database Foundations and Core Concepts

    Skills you'll gain: Vector Databases, Embeddings, Generative AI, AI Workflows, Retrieval-Augmented Generation, Database Design, Database Systems, Model Optimization, Unstructured Data, Performance Tuning, Machine Learning Methods, Dimensionality Reduction, Model Evaluation, Scalability, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    S

    SkillsBooster Academy

    Introduction to AI for Beginners

    Skills you'll gain: Prompt Engineering, Responsible AI, Large Language Modeling, AI literacy, Generative AI, AI Personalization, AI powered creativity, Artificial Intelligence, Email Automation, LLM Application, Data Ethics, ChatGPT, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Content Creation, Personal Development, Productivity, Photo/Video Production and Technology, Creative Thinking, Organizational Skills

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    C

    Coursera

    Vision Models: Train and Evaluate

    Skills you'll gain: Model Training, Failure Analysis, Deep Learning, AI Workflows, Applied Machine Learning, Data Pipelines, Performance Metric, Scripting

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    C

    Coursera

    LLM Engineering That Works: Prompting, Tuning, and Retrieval

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Optimization, Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Model Training, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI for Medicine

    Skills you'll gain: Model Evaluation, Patient Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Data Preprocessing, Classification And Regression Tree (CART), Risk Modeling, Statistical Methods, Treatment Planning, Data Analysis, Diagnostic Tests, Precision Medicine, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Image Analysis, Statistical Machine Learning, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    2.5K reviews

    Intermediate · Specialization · 1 - 3 Months

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

  • Probability and Statistics: To p or not to p?: University of London
  • Prompt Engineering for ChatGPT: SkillsBooster Academy
  • The R Programming Environment: Johns Hopkins University
  • Docker for AI/ML: Packt
  • AI Capstone Project with Deep Learning : IBM
  • Dashboard Win Drivers: Coursera
  • GenAI Ops: Running Powerful Generative AI Systems: Coursera
  • Vector Database Foundations and Core Concepts: Coursera
  • Introduction to AI for Beginners: SkillsBooster Academy
  • Vision Models: Train and Evaluate: Coursera

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Analytics (85)
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Python Programming (47)
Business Analytics (40)
R Programming (37)
Statistical Analysis (36)
Sql (33)
Data Model (29)
Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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