Python Programming

Python is a high-level, interpreted, and general-purpose dynamic programming language that focuses on code readability. Coursera's Python Programming catalogue teaches you how to use Python effectively, from its syntax to its standard libraries. You'll learn to write clean and efficient code, develop real-world applications, perform data analysis, and create machine learning algorithms using Python. This skill will equip you with the ability to master backend development, automation, data science, artificial intelligence and more. Discover the power of Python and its vital role in today's technology landscape.
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Results for "python programming"

  • Status: Free Trial

    Skills you'll gain: Public Key Cryptography Standards (PKCS), Cryptography, Data Structures, Algorithms, Encryption, Theoretical Computer Science, Computer Science, Computational Thinking, Data Storage Technologies, Linear Algebra, Python Programming, Arithmetic

  • Skills you'll gain: Time Series Analysis and Forecasting, Data Visualization, Data Visualization Software, Statistical Visualization, Box Plots, Anomaly Detection, Heat Maps, Data Analysis, Plotly, Exploratory Data Analysis, Data Processing, Python Programming

  • Skills you'll gain: Restful API, Docker (Software), Containerization, Git (Version Control System), Flask (Web Framework), Application Programming Interface (API), Authentications, Application Deployment, Database Management, JSON, Object-Relational Mapping, Continuous Deployment, Python Programming, Object Oriented Programming (OOP), Data Structures

  • Status: Free Trial

    Skills you'll gain: Debugging, Automation, Python Programming, Data Structures, Programming Principles, Data Storage Technologies, Data Storage, Scripting, Data Manipulation, File Management, Software Installation

  • Skills you'll gain: Data Structures, Graph Theory, Python Programming, Data Manipulation, Algorithms, Debugging

  • Status: Preview

    Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Data Analysis Expressions (DAX), Power BI, Deep Learning, Excel Formulas, Analytics, Google Sheets, Pivot Tables And Charts, Microsoft Excel, Artificial Intelligence, Data Analysis, Python Programming, SQL, Query Languages, Business Intelligence, Data Science, Debugging

  • Status: Preview

    Skills you'll gain: Generative AI, Financial Trading, Market Data, Portfolio Management, Technical Analysis, Prompt Engineering Tools, Market Trend, Real Time Data, Automation, Python Programming, Predictive Modeling, Time Series Analysis and Forecasting, Risk Management

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Artificial Intelligence, Graph Theory, Algorithms, Control Systems, Computer Vision, Computer Science, Python Programming, Data Structures

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Applied Machine Learning, Predictive Modeling, Image Analysis, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks

  • Skills you'll gain: Datamaps, Interactive Data Visualization, Heat Maps, Data Visualization, Data Visualization Software, Statistical Visualization, Data Presentation, Data Storytelling, Data Wrangling, Data Access, Correlation Analysis, Scatter Plots, Exploratory Data Analysis, Data Science, Data Analysis, Python Programming

  • Skills you'll gain: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Manipulation, Data Science, Data Transformation, Data Processing, Predictive Analytics, Machine Learning, Python Programming

  • Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Cleansing, Descriptive Statistics, Python Programming