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, Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation, Python Programming, Machine Learning
高级设置 · 课程 · 1-4 周

LearnQuest
您将获得的技能: 机器学习, Scikit Learn(机器学习库), 分类算法, 数据分析, Python 编程, 监督学习, 数据预处理, 功能工程, 统计方法, NumPy, 数据结构, 机器学习算法, 回归分析, 探索性数据分析, 预测建模, 数据操作, 统计假设检验, Pandas(Python 软件包), 数据科学
初级 · 课程 · 1-4 周

Databricks
您将获得的技能: 统计分析, Model Evaluation, Databricks, Python 编程, 概率, Jupyter, 概率分布, 统计编程, 统计方法, 应用机器学习, 逻辑回归, 马尔可夫模型, 统计资料, 回归分析, 预测建模, 模拟, 数据科学, 抽样(统计), 统计建模, 贝叶斯统计, 模型评估
初级 · 专项课程 · 1-3 个月

您将获得的技能: Data Storytelling, Plotly, Matplotlib, Exploratory Data Analysis, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Seaborn, Scatter Plots, Data Analysis, Box Plots, Descriptive Statistics, Jupyter, Data Science, Anomaly Detection, Python Programming, GitHub
初级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming
高级设置 · 课程 · 1-4 周

King Abdullah University of Science and Technology
您将获得的技能: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Pandas (Python Package), Python Programming, NumPy, Data Manipulation
初级 · 课程 · 1-4 周

LearnQuest
您将获得的技能: 机器学习, Model Evaluation, 分类算法, 生物信息学, 功能工程, Scikit Learn(机器学习库), 数据预处理, 人工神经网络, 降维, 应用机器学习, 随机森林算法, NumPy, 探索性数据分析, 数据操作, 数据科学, 张力流, Keras(神经网络库), 模型评估, 数据转换, 数据清理, Pandas(Python 软件包)
初级 · 专项课程 · 3-6 个月

您将获得的技能: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming
高级设置 · 课程 · 1-4 周

您将获得的技能: Matplotlib, Plot (Graphics), Statistical Visualization, Data Visualization Software, Interactive Data Visualization, Data Presentation, Scatter Plots, Jupyter, Histogram, Box Plots, Graphing, Computer Programming, Development Environment, Animations
混合 · 课程 · 1-4 周

您将获得的技能: Data Visualization, Matplotlib, Marketing Analytics, Web Scraping, Social Media Marketing, Python Programming, Social Media, Pandas (Python Package), Text Mining, Trend Analysis, Data Analysis, Data Wrangling, Data Cleansing, Seaborn, Content Performance Analysis, Jupyter
中级 · 指导项目 · 不超过 2 小时

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

您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, Microservices, Machine Learning, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Data Science, Python Programming
高级设置 · 课程 · 1-4 周