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Python Courses

Python courses can help you learn programming fundamentals, data analysis, web development, and automation techniques. You can build skills in writing clean code, debugging, and using libraries like Pandas and NumPy for data manipulation. Many courses also introduce frameworks such as Flask and Django for web applications, as well as tools like Jupyter Notebooks for interactive coding and visualization. These skills and tools are essential for tackling projects in data science, software development, and artificial intelligence.

Popular Python Courses and Certifications


  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Model Training, Data Cleansing, Data Import/Export, Data Transformation, Apache Spark, Data-Driven Decision-Making, AI Enablement, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Build Powerful AI Agents with OpenAI Tools

    Skills you'll gain: AI Orchestration, AI Workflows, Agentic Workflows, Generative AI Agents, Agentic systems, OpenAI API, Model Deployment, OpenAI, AI Integrations, Tool Calling, LLM Application, Enterprise Application Management, OAuth, Model Context Protocol, Prompt Engineering, Performance Tuning, Real Time Data, Interoperability, Prompt Patterns, Application Deployment

    3.8
    Rating, 3.8 out of 5 stars
    ·
    9 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Plot (Graphics), Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Processing, Statistical Analysis, Mathematics and Mathematical Modeling, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    أساسيات تحليل البيانات باستخدام بايثون وباندا

    Skills you'll gain: Pandas (Python Package), Data Analysis, Data Cleansing, Graphing, Data Manipulation, Jupyter, Data Preprocessing, Data Presentation, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    36 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Codio

    Advanced Django: External APIs and Task Queuing

    Skills you'll gain: Django (Web Framework), Application Programming Interface (API), Restful API, Web Development, Program Development, Event-Driven Programming, Python Programming, GitHub

    4.9
    Rating, 4.9 out of 5 stars
    ·
    27 reviews

    Advanced · Course · 1 - 4 Weeks

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

    Google DeepMind

    Getting Started with Google Gemini API

    Skills you'll gain: Google Gemini, Gemini, Cloud API, Application Programming Interface (API), Real Time Data, Prompt Engineering, Large Language Modeling, Token Optimization, Tool Calling, LLM Application, AI Workflows, JSON, Generative AI, Data Integration, Development Environment, Python Programming, Key Management, Debugging

    4.1
    Rating, 4.1 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Building AI Intensive Python Applications

    Skills you'll gain: Large Language Modeling, Vector Databases, Embeddings, Generative AI, LLM Application, Generative Model Architectures, Retrieval-Augmented Generation, Natural Language Processing, AI Integrations, AI Security, Application Design, Python Programming, Model Evaluation, Artificial Intelligence, Metadata Management, Data Management, Artificial Neural Networks, MongoDB

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    App Dev: Setting up a Development Environment - Python

    Skills you'll gain: Cloud Development, Development Environment, Google Cloud Platform, Cloud Computing, Infrastructure As A Service (IaaS), Software Development, Software Installation, Virtual Machines, Cloud Infrastructure, Remote Access Systems, Linux Servers, Verification And Validation, Package and Software Management

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    NLP – Machine Learning Models in Python

    Skills you'll gain: Model Evaluation, Dimensionality Reduction, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Python Programming, Data Mining, Bayesian Statistics

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Introduction to FastAPI framework

    Skills you'll gain: Web Frameworks, Restful API, Application Programming Interface (API), API Testing, Application Deployment, Software Documentation, Package and Software Management, JSON, Server Side, Python Programming, Data Validation

    2.5
    Rating, 2.5 out of 5 stars
    ·
    31 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Training, Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Quantitative Finance & Risk Modeling

    Skills you'll gain: Financial Modeling, Descriptive Statistics, Data Literacy, Financial Forecasting, Reconciliation, Financial Analysis, A/B Testing, Portfolio Risk, Model Evaluation, Data Cleansing, Classification And Regression Tree (CART), Regression Analysis, Exploratory Data Analysis, Predictive Modeling, Data Analysis, Risk Analysis, Risk Management, R Programming, Statistical Analysis, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    13 reviews

    Intermediate · Specialization · 3 - 6 Months

1…929394…168

Skills you can learn in Data Analysis

Analytics (85)
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R Programming (37)
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Sql (33)
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Data Modeling (21)
Data Manipulation (20)

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