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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

    • Status: New
      New

      Vanderbilt University

      AI Agents and Agentic AI Architecture in Python

      Skills you'll gain: OpenAI, Artificial Intelligence, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, Business Process Automation, Automation, Python Programming, Value Propositions, Software Design, Innovation, Action Oriented, Digital Transformation, Emerging Technologies, Systems Architecture

      4.9
      Rating, 4.9 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 3 Months

    • DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Applied Mathematics, Calculus, NumPy, Machine Learning, Jupyter, Python Programming, Artificial Neural Networks, Visualization (Computer Graphics), Deep Learning, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      839 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of California San Diego

      Data Structures

      Skills you'll gain: Data Structures, Algorithms, Data Storage, Programming Principles, Graph Theory, Computer Programming, C++ (Programming Language), Java, Theoretical Computer Science, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.5K reviews

      Intermediate · Course · 1 - 3 Months

    • University of Michigan

      Big Ideas in Programming: Expressing Yourself with Python

      Skills you'll gain: Creative Design, Data Structures, Programming Principles, Software Visualization, Python Programming, Computer Programming, Predictive Modeling, Algorithms, Data Analysis, Computational Thinking, Debugging

      3.8
      Rating, 3.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Multiple educators

      Machine Learning for Trading

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management, Securities Trading, Artificial Intelligence and Machine Learning (AI/ML), Market Data, Financial Market, Artificial Neural Networks

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Google

      Google Advanced Data Analytics Capstone

      Skills you'll gain: Regression Analysis, Data Visualization, Statistical Analysis, Advanced Analytics, Data Analysis, Business Analytics, Data Science, Data-Driven Decision-Making, Predictive Modeling, Machine Learning, Interviewing Skills, Portfolio Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Advanced · Course · 1 - 4 Weeks

    • Coursera Project Network

      أساسيات python: برمج لعبة تخمين الرقم من الصفر

      Skills you'll gain: Python Programming, Programming Principles, Program Development, Computer Programming, Interactive Design

      Beginner · Guided Project · Less Than 2 Hours

    • Duke University

      Data Visualization with Python

      Skills you'll gain: Data Visualization Software, Data Visualization, Data Storytelling, Interactive Data Visualization, Plotly, Matplotlib, Dashboard, Seaborn, Tableau Software, Scatter Plots, Spreadsheet Software, Histogram, Google Sheets, Microsoft Excel, Business Intelligence Software, Pandas (Python Package)

      4.1
      Rating, 4.1 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of Toronto

      Introduction to Self-Driving Cars

      Skills you'll gain: Automation, Simulation and Simulation Software, Software Architecture, Hardware Architecture, Process Control, Systems Architecture, Computer Vision, Verification And Validation, Mathematical Modeling, Mechanical Engineering, Safety and Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Advanced · Course · 1 - 3 Months

    • DeepLearning.AI

      Probability & Statistics for Machine Learning & Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Data Science, Exploratory Data Analysis, Data Analysis, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      554 reviews

      Intermediate · Course · 1 - 4 Weeks

    • École Polytechnique Fédérale de Lausanne

      Functional Programming Principles in Scala

      Skills you'll gain: Scala Programming, Programming Principles, Object Oriented Programming (OOP), Functional Design, Software Design Patterns, Computer Programming, Data Structures, Software Engineering, Javascript, Algorithms, Computational Thinking

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Google

      Troubleshooting and Debugging Techniques

      Skills you'll gain: Debugging, Technical Communication, Network Troubleshooting, Performance Tuning, Problem Management, Technical Documentation, Technical Support, System Monitoring, System Support, Capacity Management, Incident Management, Performance Testing, Application Performance Management, Network Performance Management, Continuous Monitoring, Virtual Machines, Scripting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3K reviews

      Beginner · Course · 1 - 4 Weeks

    Python learners also search

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

    • AI Agents and Agentic AI Architecture in Python: Vanderbilt University
    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • Data Structures: University of California San Diego
    • Big Ideas in Programming: Expressing Yourself with Python: University of Michigan
    • Machine Learning for Trading: New York Institute of Finance
    • Google Advanced Data Analytics Capstone: Google
    • أساسيات python: برمج لعبة تخمين الرقم من الصفر: Coursera Project Network
    • Data Visualization with Python: Duke University
    • Introduction to Self-Driving Cars: University of Toronto
    • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI

    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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