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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

    • Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Application Deployment, Deep Learning, Cloud Development, Artificial Neural Networks, Data Processing, Scalability, Applied Machine Learning, Machine Learning, Data Transformation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Course · 1 - 3 Months

    • University of Michigan

      Программирование для всех (начало работы с Python)

      Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Software Installation, Computational Thinking, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      94 reviews

      Mixed · Course · 1 - 3 Months

    • University of Michigan

      Estructuras de datos de Python

      Skills you'll gain: Data Structures, Data Manipulation, Software Installation, Python Programming, Data Processing, Development Environment, Data Storage, File Management, Computer Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      19 reviews

      Mixed · Course · 1 - 3 Months

    • University of California San Diego

      Finding Hidden Messages in DNA (Bioinformatics I)

      Skills you'll gain: Bioinformatics, Data Analysis, Computational Thinking, Life Sciences, Algorithms, Statistical Analysis, Computational Logic, Computer Programming, Probability & Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New

      Microsoft

      Advanced Python Development Techniques

      Skills you'll gain: Data Structures, Generative AI, Test Driven Development (TDD), Integration Testing, Unit Testing, Python Programming, Object Oriented Programming (OOP), Cloud Applications, Serverless Computing, Cloud Computing, Microsoft Azure, Algorithms, Software Documentation, Software Development Tools, Maintainability, Code Review, Program Development, Software Development, Technical Documentation, Application Deployment

      Beginner · Course · 1 - 3 Months

    • University of California San Diego

      Hadoop Platform and Application Framework

      Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, PySpark, Data Processing, Distributed Computing, Performance Tuning, Scalability

      4
      Rating, 4 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 3 Months

    • Fractal Analytics

      Fractal Data Science

      Skills you'll gain: Data Storytelling, Decision Making, Critical Thinking, Database Design, Data Manipulation, Data Presentation, Power BI, Data Visualization, Exploratory Data Analysis, Feature Engineering, Interactive Data Visualization, Data Analysis Expressions (DAX), Human Centered Design, Storyboarding, Classification And Regression Tree (CART), SQL, Applied Machine Learning, Problem Solving, Data Modeling, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      335 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Packt

      Selenium WebDriver 4 with Python - Zero To Hero

      Skills you'll gain: GitHub, Selenium (Software), Jenkins, Version Control, Git (Version Control System), Object Oriented Programming (OOP), CI/CD, Continuous Integration, Unit Testing, Regression Testing, Computer Programming, Test Automation, Test Execution Engine, Browser Compatibility, Test Case, File Management, Web Development Tools, Scripting, Software Testing, Javascript

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      Beginner · Specialization · 3 - 6 Months

    • Packt

      Python Fundamentals and Data Science Essentials

      Skills you'll gain: Matplotlib, Linear Algebra, NumPy, Data Visualization Software, Seaborn, Pandas (Python Package), Machine Learning, Supervised Learning, Data Analysis, Jupyter, Python Programming, Data Manipulation, Programming Principles, Regression Analysis, Data Structures

      Beginner · Course · 1 - 3 Months

    • Google

      Regression Analysis: Simplify Complex Data Relationships

      Skills you'll gain: Regression Analysis, Statistical Analysis, Advanced Analytics, Correlation Analysis, Analytics, Data Analysis, Predictive Modeling, Statistical Modeling, Supervised Learning, Statistical Inference, Statistics, Variance Analysis, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      515 reviews

      Advanced · Course · 1 - 3 Months

    • Coursera Project Network

      Aprendiendo Python con circuitos digitales

      Skills you'll gain: Object Oriented Programming (OOP), Jupyter, Computer Programming, Python Programming, Electrical and Computer Engineering, Program Development, Simulations, Computer Architecture, Programming Principles

      4.8
      Rating, 4.8 out of 5 stars
      ·
      22 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Howard University

      Linear Algebra for Data Science Using Python

      Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Python Programming, Statistical Modeling, Supervised Learning, Jupyter, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Mathematics, Mathematical Modeling, Algebra, Small Data, Exploratory Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      30 reviews

      Beginner · Specialization · 3 - 6 Months

    Python learners also search

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    1…252627…99

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

    • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
    • Программирование для всех (начало работы с Python): University of Michigan
    • Estructuras de datos de Python: University of Michigan
    • Finding Hidden Messages in DNA (Bioinformatics I): University of California San Diego
    • Advanced Python Development Techniques: Microsoft
    • Hadoop Platform and Application Framework: University of California San Diego
    • Fractal Data Science: Fractal Analytics
    • Selenium WebDriver 4 with Python - Zero To Hero: Packt
    • Python Fundamentals and Data Science Essentials: Packt
    • Regression Analysis: Simplify Complex Data Relationships: Google

    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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