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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

    • C

      Coursera Project Network

      Plots Creation using Matplotlib Python

      Skills you'll gain: Matplotlib, Box Plots, Plot (Graphics), Seaborn, Data Visualization Software, Pandas (Python Package), Scatter Plots, Data Presentation, Data Import/Export, Histogram, Python Programming, Data Manipulation, Data Structures

      3.9
      Rating, 3.9 out of 5 stars
      ·
      9 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Colorado Boulder

      Data Analysis with Python Project

      Skills you'll gain: Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Regression Analysis, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Exploratory Data Analysis, Statistical Methods

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • A

      Arizona State University

      Data Analysis and Visualization with Python

      Skills you'll gain: Matplotlib, NumPy, Plot (Graphics), Pandas (Python Package), Data Structures, Data Visualization Software, Data Analysis, Scatter Plots, Pivot Tables And Charts, Python Programming, File Management, Data Manipulation, Exploratory Data Analysis, Jupyter, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Natural Language Processing on Google Cloud

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Cloud API, Cloud Solutions, Feature Engineering, Application Programming Interface (API)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      534 reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of California, Irvine

      Programming for the Internet of Things Project

      Skills you'll gain: Test Planning, Embedded Software, Embedded Systems, Functional Requirement, Systems Design, Requirements Analysis, System Design and Implementation, Internet Of Things, Prototyping, Computer Hardware

      4.7
      Rating, 4.7 out of 5 stars
      ·
      937 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Data Analysis Using Pyspark

      Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Visualization, Data Analysis, Data Manipulation, Query Languages, Google Cloud Platform

      4.5
      Rating, 4.5 out of 5 stars
      ·
      301 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Michigan

      Foundations of Sports Analytics: Data, Representation, and Models in Sports

      Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Manipulation, Data Visualization, Statistical Analysis, Scatter Plots, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      186 reviews

      Intermediate · Course · 1 - 3 Months

    • M

      Microsoft

      Create Machine Learning Models in Microsoft Azure

      Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Machine Learning, Supervised Learning, Tensorflow, NumPy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      292 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Delivery Problem

      Skills you'll gain: Combinatorics, Theoretical Computer Science, Algorithms, Graph Theory, Computational Thinking, Operations Research, Data Structures, Applied Mathematics, Python Programming, Computer Programming, Program Development, Mathematical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      374 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Full Stack Software Developer Assessment

      Skills you'll gain: Cloud Computing, Back-End Web Development, DevOps, Full-Stack Web Development, OpenShift, CI/CD, Software Development, Cloud-Native Computing, Web Applications, Microservices, Containerization, GitHub, Kubernetes, Web Development, Node.JS, Git (Version Control System), Serverless Computing, Docker (Software), Server Side, Django (Web Framework)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      272 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Introduction to Accounting Data Analytics and Visualization

      Skills you'll gain: Tableau Software, Data Visualization Software, Excel Macros, Analytics, Accounting and Finance Software, Specialized Accounting, Analytical Skills, Pivot Tables And Charts, Accounting Systems, Business Analytics, Microsoft Excel, Data Collection, Data-Driven Decision-Making, Data Analysis, Regression Analysis

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      442 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Where, Why, and How of Lambda Functions in Python

      Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Python Programming, Functional Specification

      4.8
      Rating, 4.8 out of 5 stars
      ·
      28 reviews

      Beginner · Guided Project · Less Than 2 Hours

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

    • Plots Creation using Matplotlib Python: Coursera Project Network
    • Data Analysis with Python Project : University of Colorado Boulder
    • Data Analysis and Visualization with Python: Arizona State University
    • Natural Language Processing on Google Cloud: Google Cloud
    • Programming for the Internet of Things Project: University of California, Irvine
    • Data Analysis Using Pyspark: Coursera Project Network
    • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
    • Create Machine Learning Models in Microsoft Azure: Microsoft
    • Delivery Problem: University of California San Diego
    • Full Stack Software Developer Assessment: IBM

    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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