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

您将获得的技能: Matplotlib, Scientific Visualization, Data Visualization Software, Interactive Data Visualization, Seaborn, Jupyter, NumPy, Performance Tuning, Development Environment, Python Programming, Debugging
混合 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Tensorflow, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Data Pipelines, Jupyter, Deep Learning, Pandas (Python Package), Predictive Modeling, NumPy, Data Preprocessing
中级 · 课程 · 1-3 个月

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

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

您将获得的技能: Object Oriented Programming (OOP), Matplotlib, Data Visualization, Seaborn, NumPy, Python Programming, Scatter Plots, Pandas (Python Package), Data Analysis, Box Plots, JSON, File Management, Debugging, Data Manipulation
中级 · 课程 · 1-4 周

Duke University
您将获得的技能: 云计算, 软件工程, Google Cloud 平台, NumPy, 云存储, 云原生计算, Amazon Web Services, 拉斯特(编程语言), 数据管理, Data Governance, Python 编程, 无服务器计算, 分布式计算, 大数据, 摘录, 数据管道, 云技术, 数据湖, 命令行界面
中级 · 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

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: 功能工程, 模型评估, NumPy, 生物信息学, 探索性数据分析, 分类算法, 数据转换, Pandas(Python 软件包), 机器学习, Scikit Learn(机器学习库), 数据清理, 随机森林算法, Keras(神经网络库), 数据操作, 张力流, 应用机器学习, 人工神经网络, Model Evaluation, 数据科学, 降维, 数据预处理
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