Python 课程可以帮助您学习编程基础、数据分析、网络开发和自动化技术。您可以掌握编写 Cleaning 代码、调试以及使用 Pandas 和 NumPy 等库进行数据处理的技能。许多课程还介绍了用于网络应用的 Flask 和 Django 等框架,以及用于交互式编码和可视化的 Jupyter Notebook 等工具。这些技能和工具对于解决数据科学、软件开发和人工智能方面的项目至关重要。

Coursera
您将获得的技能: Natural Language Processing, Data Wrangling, Data Pipelines
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric
中级 · 课程 · 1-4 周

您将获得的技能: Supervised Learning, Financial Forecasting, Forecasting, Applied Machine Learning, Predictive Modeling, Predictive Analytics, Model Evaluation, Business Analytics, Data-Driven Decision-Making, Data Presentation, Business Metrics, Performance Analysis, Regression Analysis, Feature Engineering, Data Science, Stakeholder Communications, Exploratory Data Analysis
中级 · 课程 · 1-4 周

您将获得的技能: Data Preprocessing, Data Visualization, Performance Tuning
中级 · 课程 · 1-4 周

Northwestern University
您将获得的技能: Robotics, Machine Controls, Automation Engineering, Mathematical Modeling, Torque (Physics), Mechanics, Control Systems, Mathematical Software, Mechanical Engineering, Engineering, Simulation and Simulation Software, Engineering Analysis, Applied Mathematics
中级 · 课程 · 1-4 周
您将获得的技能: Apache Kafka, Real Time Data, Apache Spark, Data Pipelines, PySpark, Scalability, Data-Driven Decision-Making, Fraud detection, Data Processing, Data Persistence, Event Monitoring, Data Transformation, JSON, Event Management
中级 · 课程 · 1-4 周

您将获得的技能: Supervised Learning, Data Preprocessing, Machine Learning, Machine Learning Algorithms, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Data Transformation, Data Manipulation, Model Evaluation, Exploratory Data Analysis, Classification Algorithms, Regression Analysis
初级 · 课程 · 1-4 周

您将获得的技能: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning
高级设置 · 课程 · 1-3 个月

Packt
中级 · 课程 · 1-4 周

您将获得的技能: Matplotlib, Scientific Visualization, Visualization (Computer Graphics), Plot (Graphics), Statistical Visualization, Data Visualization Software, Scatter Plots, NumPy, Python Programming
混合 · 课程 · 1-4 周
您将获得的技能: LLM Application, Prompt Engineering, Performance Tuning, Performance Testing, Tool Calling, Responsible AI, A/B Testing, Application Performance Management, Retrieval-Augmented Generation, Model Evaluation, OpenAI API, Scalability, API Design
中级 · 课程 · 1-4 周

您将获得的技能: Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Model Evaluation, Natural Language Processing, Text Mining, Data Preprocessing, Deep Learning, Tensorflow, Google Cloud Platform, Matplotlib
混合 · 课程 · 1-4 周