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: Simulation and Simulation Software, Digital Transformation, Systems Thinking, Complex Problem Solving, Operations Research, Predictive Analytics, Data-Driven Decision-Making, Verification And Validation, Process Optimization, Data Integration, Risk Management, Python Programming, Event-Driven Programming, Probability & Statistics, Performance Analysis

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    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Business Analytics, Data Literacy, Data Analysis, Data Cleansing, Business Intelligence, Data Quality, Business Ethics, Machine Learning, Artificial Neural Networks, Deep Learning, Data Science, Predictive Modeling, Python Programming, Unsupervised Learning

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    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

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    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Text Mining, Machine Learning, Natural Language Processing, Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Network Architecture, Performance Tuning, Data Science, Data Processing, Data Analysis