NumPy 课程经常教授数组操作、数学函数和数据分析技术。您可以掌握执行复杂计算、处理大型数据集和优化数值运算性能的技能。很多课程都会介绍 Jupyter Notebook 和 Python 库等工具,展示这些技能在数据科学、机器学习和人工智能项目中的应用。

您将获得的技能: Data Visualization, Matplotlib, Scientific Visualization, Data Storytelling, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Data Structures, Heat Maps, Data Manipulation, Pandas (Python Package), NumPy, Data Transformation, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Mapping, Data Import/Export, Python Programming, Object Oriented Programming (OOP)
中级 · 专项课程 · 1-3 个月

您将获得的技能: NumPy, Pandas (Python Package), Image Analysis, Data Manipulation, Matplotlib, Computer Vision, Data Analysis, Interactive Data Visualization, Python Programming, Geospatial Mapping, Data Import/Export, Scripting, File Management, Scripting Languages, Data Structures, Development Environment, Computer Programming Tools, Integrated Development Environments, Computer Programming, Software Installation
初级 · 专项课程 · 3-6 个月

您将获得的技能: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Linear Algebra, Applied Machine Learning, Unsupervised Learning, Regression Analysis, Statistical Methods, Artificial Intelligence and Machine Learning (AI/ML)
初级 · 专项课程 · 3-6 个月

您将获得的技能: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Text Mining, Data Manipulation, Unsupervised Learning, Performance Tuning
混合 · 课程 · 1-4 周

多位教师
您将获得的技能: 预测建模, 人工智能, 监督学习, 无监督学习, 张力流, Scikit-learn (机器学习库), NumPy, 机器学习, 人工智能和机器学习(AI/ML), Jupyter, 决策树学习, 深度学习, Python 程序设计, 应用机器学习, 强化学习, 随机森林算法, 数据伦理, 功能工程, 负责任的人工智能, 分类与回归树 (CART)
初级 · 专项课程 · 1-3 个月

您将获得的技能: Matplotlib, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Data Processing, Pandas (Python Package), NumPy, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Machine Learning, Data Manipulation, Data Science, Dimensionality Reduction, Statistical Modeling, Feature Engineering, Unsupervised Learning, Performance Tuning
混合 · 课程 · 1-4 周

您将获得的技能: Analytics, Integrated Development Environments
初级 · 课程 · 1-4 周

您将获得的技能: NumPy, Pandas (Python Package), Image Analysis, Data Manipulation, Matplotlib, Computer Vision, Data Analysis, Interactive Data Visualization, Python Programming, Geospatial Mapping, Data Import/Export, JSON, Dashboard, Data Visualization Software, Jupyter, Web Applications
中级 · 课程 · 1-3 个月

您将获得的技能: Data Processing, Data Transformation, Financial Forecasting, Feature Engineering, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Keras (Neural Network Library), Deep Learning, Predictive Modeling, Pandas (Python Package), Tensorflow, Artificial Neural Networks, Matplotlib, NumPy
混合 · 课程 · 1-4 周

您将获得的技能: Scientific Visualization, Data Storytelling, Heat Maps, Data Mapping
中级 · 课程 · 1-3 个月

Universidad Nacional Autónoma de México
您将获得的技能: Extract, Transform, Load, Exploratory Data Analysis, Pandas (Python Package), NumPy, Package and Software Management, Time Series Analysis and Forecasting, Data Visualization Software, Data Science, Jupyter, Python Programming, Data Analysis, Graphing, Matplotlib, Data Import/Export, Data Manipulation, Ubuntu, Scripting, Software Installation, Computational Thinking, Program Development
初级 · 专项课程 · 3-6 个月

IBM
您将获得的技能: 预测建模, 数据操作, 数据可视化软件, 探索性数据分析, Pandas(Python 软件包), 数据科学, 数据导入/导出, 数据整理, 仪表板, Plotly, 机器学习, 编程原则, 数据清理, 交互式数据可视化, Python 程序设计, 数据转换, 数据分析, 数据可视化, 网页抓取, 数据展示
攻读学位
初级 · 专项课程 · 3-6 个月