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    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

    • Placeholder
      B

      Board Infinity

      Dive Deep into Python

      Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Python Programming, Programming Principles, File Management, Data Manipulation, Computer Programming, Scripting, Data Transformation

      3.6
      Rating, 3.6 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Python Basics for Online Research

      Skills you'll gain: Debugging, Computational Thinking, Web Scraping, Python Programming, Programming Principles, Data Manipulation, Problem Management, Data Access, Text Mining, Scripting, Computer Programming, Data Cleansing, Data Dictionary, Automation, Probability & Statistics, Data Structures, Data Analysis, Visualization (Computer Graphics), Data Modeling, Application Programming Interface (API)

      3.3
      Rating, 3.3 out of 5 stars
      ·
      28 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      D

      DeepLearning.AI

      Python for Data Analytics

      Skills you'll gain: Pandas (Python Package), Data Visualization, Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Data Analysis, Statistical Methods, Exploratory Data Analysis, Descriptive Statistics, Probability & Statistics, Data Manipulation, Programming Principles, Python Programming, Regression Analysis, Computer Programming

      Beginner · Course · 1 - 3 Months

    • E

      EDHEC Business School

      Advanced Portfolio Construction and Analysis with Python

      Skills you'll gain:

      4.7
      Rating, 4.7 out of 5 stars
      ·
      506 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Create Interactive Dashboards with Streamlit and Python

      Skills you'll gain: Plotly, Dashboard, Pandas (Python Package), Data Manipulation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Web Applications, Application Development, Data Processing, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      394 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: AI skills
      AI skills
      M

      Meta

      Meta Marketing Analytics

      Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Marketing Analytics, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, A/B Testing, Target Audience, Marketing Strategies, Data Cleansing, Pandas (Python Package), Data Modeling, Data Analysis, Data Visualization Software, Spreadsheet Software, Data Collection, Marketing, Interviewing Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      L

      LearnQuest

      Introduction to Python Scripting for DevOps

      Skills you'll gain: Scripting, Programming Principles, Scripting Languages, Computer Programming, Python Programming, Command-Line Interface, Microsoft Visual Studio, Development Environment, Integrated Development Environments, Debugging

      4
      Rating, 4 out of 5 stars
      ·
      137 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Illinois Urbana-Champaign

      Accounting Data Analytics with Python

      Skills you'll gain: Jupyter, Matplotlib, Pandas (Python Package), Data Manipulation, SQL, Data Visualization Software, Seaborn, Data Processing, Data Structures, NumPy, Databases, Accounting, Data Science, Python Programming, Regression Analysis, Scripting Languages, Scripting

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      105 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      I

      Infosec

      Python for Active Defense

      Skills you'll gain: Cyber Threat Hunting, Threat Detection, Cyber Security Strategy, System Monitoring, Cybersecurity, Cyber Operations, Continuous Monitoring, Network Security, Incident Response, Network Monitoring, Anomaly Detection, Scripting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      73 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      Status: New
      New
      P

      Packt

      Data Structures Using Python - An Introduction

      Skills you'll gain: Data Structures, Graph Theory, Performance Tuning, Python Programming, Computational Thinking, Algorithms, Computer Programming, Debugging

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      Status: AI skills
      AI skills
      M

      Meta

      Meta Data Analyst

      Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Management, Data Collection, Data Governance, Bayesian Statistics, Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Information Privacy, Data Cleansing, Pandas (Python Package), Data Visualization Software, Statistical Inference, Spreadsheet Software, Correlation Analysis, Google Sheets, Exploratory Data Analysis, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      I

      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

      Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 3 Months

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

    • Dive Deep into Python: Board Infinity
    • Python Basics for Online Research: University of California, Davis
    • Python for Data Analytics: DeepLearning.AI
    • Advanced Portfolio Construction and Analysis with Python: EDHEC Business School
    • Create Interactive Dashboards with Streamlit and Python: Coursera Project Network
    • Meta Marketing Analytics: Meta
    • Introduction to Python Scripting for DevOps: LearnQuest
    • Accounting Data Analytics with Python: University of Illinois Urbana-Champaign
    • Python for Active Defense: Infosec
    • Data Structures Using Python - An Introduction: Packt

    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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