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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

    • École Polytechnique Fédérale de Lausanne

      Digital Signal Processing

      Skills you'll gain: Digital Communications, Image Analysis, Electrical Engineering, Electrical and Computer Engineering, Embedded Systems, Electronic Systems, Engineering Analysis, Programming Principles, Computer Engineering, Numerical Analysis, Advanced Mathematics, Algorithms, Linear Algebra, Systems Of Measurement, Mathematical Modeling, Calculus, Basic Electrical Systems, Python Programming, Applied Mathematics, Time Series Analysis and Forecasting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      777 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Johns Hopkins University

      Algorithms for DNA Sequencing

      Skills you'll gain: Bioinformatics, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences, Programming Principles, Computer Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      921 reviews

      Mixed · Course · 1 - 4 Weeks

    • IBM

      IBM Data Analyst Capstone Project

      Skills you'll gain: Dashboard, Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Cleansing, IBM Cognos Analytics, Data Collection, Data Analysis, Looker (Software), Web Scraping, Data Storytelling, Data Transformation, Box Plots, Pandas (Python Package), Scatter Plots, Histogram

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

      Advanced · Course · 1 - 3 Months

    • University of Michigan

      Creative Coding: Hands-On Python

      Skills you'll gain: Debugging, Unit Testing, Relational Databases, Object Oriented Programming (OOP), Data Visualization Software, Object Oriented Design, Web Scraping, Data Wrangling, Database Management, Data Science, Creative Design, Data Structures, Programming Principles, Integrated Development Environments, Software Visualization, Python Programming, Development Testing, Computer Programming, Development Environment, Program Development

      3.8
      Rating, 3.8 out of 5 stars
      ·
      11 reviews

      Intermediate · Specialization · 3 - 6 Months

    • IBM

      Introduction to Neural Networks and PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Artificial Neural Networks, Deep Learning, Feature Engineering, Probability Distribution, Performance Tuning, Machine Learning, Regression Analysis, Data Processing, Linear Algebra

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • LearnQuest

      Developing AI Applications on Azure

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Microsoft Azure, Artificial Intelligence, Applied Machine Learning, Python Programming, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Application Deployment, Application Programming Interface (API)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      976 reviews

      Advanced · Course · 1 - 3 Months

    • University of California, Irvine

      Interfacing with the Raspberry Pi

      Skills you'll gain: Internet Of Things, Application Programming Interface (API), TCP/IP, Embedded Systems, Network Protocols, USB, General Networking, Electronic Hardware, Systems Design, Hardware Design, Computer Hardware, Peripheral Devices, Electrical Engineering, Python Programming, Servers

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Mixed · Course · 1 - 4 Weeks

    • IBM

      IBM AI Enterprise Workflow

      Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Data Storytelling, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Artificial Neural Networks, Data Science, Artificial Intelligence

      4.3
      Rating, 4.3 out of 5 stars
      ·
      319 reviews

      Advanced · Specialization · 3 - 6 Months

    • Tufts University

      Hypothesis Testing with Python and Excel

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Microsoft Excel, Quantitative Research, Statistical Methods, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Data Analysis, Spreadsheet Software, Statistical Programming, Business Analytics, Python Programming

      4.2
      Rating, 4.2 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Coursera Project Network

      Python NLTK for Beginners: Customer Satisfaction Analysis

      Skills you'll gain: Text Mining, Unstructured Data, Data Analysis, Natural Language Processing, Pandas (Python Package), Data Manipulation, Python Programming, Data Cleansing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Packt

      Foundations of Python and Selenium WebDriver

      Skills you'll gain: Selenium (Software), Object Oriented Programming (OOP), Computer Programming, Test Automation, File Management, Web Development Tools, Scripting, Automation, Development Environment, Python Programming, Scripting Languages, Integrated Development Environments, Software Installation, Debugging

      Beginner · Course · 1 - 3 Months

    • University of Michigan

      Web Application Technologies and Django

      Skills you'll gain: Django (Web Framework), HTML and CSS, Model View Controller, Hypertext Markup Language (HTML), Application Deployment, Web Applications, Back-End Web Development, Web Servers, SQL, Databases, Network Protocols, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 3 Months

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

    • Digital Signal Processing: Ã‰cole Polytechnique Fédérale de Lausanne
    • Algorithms for DNA Sequencing: Johns Hopkins University
    • IBM Data Analyst Capstone Project: IBM
    • Creative Coding: Hands-On Python: University of Michigan
    • Introduction to Neural Networks and PyTorch: IBM
    • Developing AI Applications on Azure: LearnQuest
    • Interfacing with the Raspberry Pi: University of California, Irvine
    • IBM AI Enterprise Workflow: IBM
    • Hypothesis Testing with Python and Excel: Tufts University
    • Python NLTK for Beginners: Customer Satisfaction Analysis: 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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