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"

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    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

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    University of Colorado Boulder

    Skills you'll gain: Robotic Process Automation, Artificial Intelligence, Automation, Graph Theory, Algorithms, Computer Vision, Data Structures, Python Programming, Simulations

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    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

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    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

  • 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

  • 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

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    Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks

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    Skills you'll gain: Programming Principles, Information Technology, Operating Systems, Web Applications, Collaborative Software, Computer Literacy, Python Programming, Application Development, Microsoft Office, Linux, Microsoft Windows, Mac OS

  • Duke University

    Skills you'll gain: Package and Software Management, Virtual Environment, Development Environment, Software Installation, Python Programming, Command-Line Interface

  • Skills you'll gain: Program Development, Python Programming, Jupyter, Algorithms, Engineering Calculations, Computer Programming, Mathematical Modeling, Linear Algebra, Applied Mathematics

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    Skills you'll gain: Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability Distribution, Exploratory Data Analysis, Python Programming