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    • Python

    Python Courses Online

    Master Python for versatile programming. Learn Python syntax, data structures, and libraries for web development, data science, and automation.

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    Explore the Python Course Catalog

    • D

      DeepLearning.AI

      Réseaux neuronaux et Deep Learning

      Skills you'll gain: Deep Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Machine Learning, Performance Tuning, Python Programming, NumPy, Linear Algebra, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Test-Driven Development Overview

      Skills you'll gain: Test Driven Development (TDD), Unit Testing, Code Review, Maintainability, Software Testing, Integration Testing, Debugging, Software Development, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      59 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of London

      Introduction to Computer Security

      Skills you'll gain: Linux, Computer Systems, Command-Line Interface, Cybersecurity, Computer Architecture, Network Security, Vulnerability Assessments, Hardware Architecture, Application Security, Threat Detection, Authorization (Computing), Network Protocols, Virtual Private Networks (VPN), Operating Systems, Authentications, Network Monitoring, Network Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Tweet Emotion Recognition with TensorFlow

      Skills you'll gain: Tensorflow, Python Programming, Natural Language Processing, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      159 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free
      Free
      M

      Maven Analytics

      ChatGPT & Generative AI for Data Analytics

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Data Analysis Expressions (DAX), Power BI, Deep Learning, Excel Formulas, Analytics, Google Sheets, Machine Learning Methods, Large Language Modeling, Microsoft Excel, Artificial Intelligence, Python Programming, SQL, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Mining Quality Prediction Using Machine & Deep Learning

      Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Decision Tree Learning, Statistical Analysis, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Pandas (Python Package), Software Visualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      65 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Optimize TensorFlow Models For Deployment with TensorRT

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Performance Tuning, Machine Learning Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      75 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Transfer Learning for NLP with TensorFlow Hub

      Skills you'll gain: Tensorflow, Natural Language Processing, Keras (Neural Network Library), Text Mining, Deep Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      177 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • I

      IBM

      AI Workflow: Machine Learning, Visual Recognition and NLP

      Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Machine Learning, Image Analysis, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Decision Tree Learning, Natural Language Processing, Feature Engineering, Scikit Learn (Machine Learning Library), Business Metrics, Computer Vision

      4.4
      Rating, 4.4 out of 5 stars
      ·
      86 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : Generative Adversarial Network

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Computer Vision, Applied Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      87 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • S

      Starweaver

      Build a Data Warehouse Using BigQuery

      Skills you'll gain: Extract, Transform, Load, Data Warehousing, Data Governance, Data Infrastructure, Business Intelligence, SQL, Data Architecture, Data Management, Data Transformation, Database Management, Pandas (Python Package), Data Security, Google Cloud Platform

      Advanced · Course · 1 - 4 Weeks

    • C

      Cisco Learning and Certifications

      Using APIs for Network Automation

      Skills you'll gain: Postman API Platform, Restful API, Authentications, Application Programming Interface (API), JSON, Extensible Markup Language (XML), YAML, Network Monitoring, Automation, Network Engineering, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 4 Weeks

    Python learners also search

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    1…585960…99

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

    • Réseaux neuronaux et Deep Learning: DeepLearning.AI
    • Test-Driven Development Overview: LearnQuest
    • Introduction to Computer Security: University of London
    • Tweet Emotion Recognition with TensorFlow: Coursera Project Network
    • ChatGPT & Generative AI for Data Analytics: Maven Analytics
    • Mining Quality Prediction Using Machine & Deep Learning: Coursera Project Network
    • Optimize TensorFlow Models For Deployment with TensorRT: Coursera Project Network
    • Transfer Learning for NLP with TensorFlow Hub: Coursera Project Network
    • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
    • Deep Learning with PyTorch : Generative Adversarial Network: Coursera Project Network

    Skills you can learn in Data Analysis

    Analytics (85)
    Big Data (64)
    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)

    Frequently Asked Questions about Python

    Knowing why you want to learn Python, be it for data analysis, web development, or automating tasks, can help you stay focused. Regular practice with Python solidifies your understanding and improves problem-solving skills. Engage with coding communities like Stack Overflow or Reddit’s r/learnpython for support and insights. Work on real projects such as developing small scripts or applications. Coursera’s Python for Everybody by the University of Michigan is an excellent place to start.‎

    Python courses on Coursera offer comprehensive range of skills that are crucial for many technical careers:

    • Basic syntax and fundamentals of Python programming
    • Application of Python in data analysis, web development, and machine learning
    • Writing and debugging Python scripts and programs
    • Data visualization with libraries like Matplotlib and Seaborn
    • Use of libraries and frameworks such as Pandas, Flask, and Django
    • Automation of common system administration tasks using Python‎

    Python courses on Coursera are accessible to learners with varying levels of experience:

    • Beginners can start with introductory courses that cover the basics of Python and programming concepts.
    • Intermediate learners can enhance their skills in specific applications like web development or data science.
    • Advanced programmers can explore in-depth topics such as algorithmic programming and complex data structures in Python.

    Test your Python skills with our Python Skill Assessment to gauge your proficiency and readiness for advanced topics.‎

    Coursera provides several credential options for learners who complete Python courses:

    • Professional certificates that validate your Python programming skills.
    • Specializations that go into detail in areas like artificial intelligence, cybersecurity, or big data.
    • Certificates that are recognized by industry leaders and can help pave the way for career advancement.‎

    Python is a versatile language that opens the door to numerous career paths:

    • Software Developer, creating applications and software solutions using Python.
    • Data Analyst, deriving insights from data sets with Python’s analytical tools.
    • Machine Learning Engineer, building and training models using Python’s machine learning libraries.
    • Web Developer, designing and maintaining websites with Python’s web frameworks.
    • Automation Engineer, implementing automation scripts that streamline business processes.‎

    Yes, Coursera offers a variety of free courses across many topics, including Python. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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