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探索应用 Data Science 课程目录
- 状态:免费试用
您将获得的技能: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Data Import/Export, Probability & Statistics, Programming Principles, Predictive Modeling, Big Data, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management
- 状态:新状态:免费试用
University of Pittsburgh
您将获得的技能: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
- 状态:免费试用
Johns Hopkins University
您将获得的技能: 概率与统计, 机器学习, 探索性数据分析, 交互式数据可视化, GitHub, 统计建模, 统计推理, 回归分析, 数据展示, Rmarkdown, 机器学习算法, 闪亮(R 套件), 功能工程, Plotly, 数据科学, 数据可视化, R 语言程序设计(中文版), 统计假设检验, 预测建模, 统计分析
- 状态:免费试用
Johns Hopkins University
您将获得的技能: 数据整理, 机器学习, 探索性数据分析, 数据清理, 数据共享, 绘图(图形), GitHub, 数据操作, R 语言程序设计(中文版), 降维, Rmarkdown, 数据可视化软件, R(软件), Ggplot2, 数据科学, 统计分析, Knitr, 版本控制, 统计编程, 统计可视化
- 状态:免费试用
Johns Hopkins University
您将获得的技能: 数据整理, 探索性数据分析, 机器学习, 交互式数据可视化, 回归分析, 数据清理, GitHub, 统计推理, 绘图(图形), 数据操作, Rmarkdown, 机器学习算法, 数据科学, 预测建模, 闪亮(R 套件), 统计假设检验, 统计分析, 版本控制, Plotly, R 语言程序设计(中文版)
- 状态:免费试用
Johns Hopkins University
您将获得的技能: 概率与统计, 线性代数, 统计方法, 数据分析, 回归分析, 数学建模, 统计推理, 抽样(统计), R 语言程序设计(中文版), 统计, 统计建模, 贝叶斯统计, 数据科学, 预测建模, 统计假设检验, 概率, 生物统计学, 应用数学, 概率分布, 统计分析
- 状态:免费试用
University of California, Irvine
您将获得的技能: 数据伦理, 分类与回归树 (CART), 数据分析, 数据战略, 无监督学习, 商业分析, 云计算, 回归分析, 统计建模, 决策树学习, 文本挖掘, 数据科学, 分析技能, 预测建模, 预测分析, 数据挖掘, 自然语言处理, 异常检测, 社交媒体, 统计分析
- 状态:新状态:免费试用
您将获得的技能: Apache Spark, Keras (Neural Network Library), Deep Learning, Tensorflow, A/B Testing, Big Data, Data Ethics, Applied Machine Learning, Data Processing, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence, Supervised Learning, Statistical Hypothesis Testing, Dimensionality Reduction, Reinforcement Learning
- 状态:免费试用
您将获得的技能: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Presentation, Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Advanced Analytics, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
- 状态:新状态:免费试用
Fractal Analytics
您将获得的技能: Data Governance, Data Strategy, Data Ethics, Responsible AI, Data Management, Data Architecture, Metadata Management, Data Store, Data Loss Prevention, Data Security, Interoperability, Docker (Software), Data Storage, Data Processing, Semantic Web, Generative AI Agents, Real Time Data, Large Language Modeling, Machine Learning, Agentic systems
- 状态:免费试用
Johns Hopkins University
您将获得的技能: Precision Medicine, Game Theory, Reinforcement Learning, Data-Driven Decision-Making, Clinical Trials, Bioinformatics, Data Analysis, Image Analysis, Analytics, Markov Model, Bayesian Statistics, Time Series Analysis and Forecasting, Data Science, Predictive Analytics, Strategic Decision-Making, Anomaly Detection, Probability Distribution, Cybersecurity, Statistical Analysis, Machine Learning Methods
- 状态:免费试用
University of Colorado Boulder
您将获得的技能: 统计方法, 线性代数, 数据分析, 代数, 应用数学, 微积分, 数据科学, 积分微积分, 数值分析, 数学理论与分析, 衍生产品, 制图
总之,以下是 10 最受欢迎的 applied data science 课程
- Data Science Foundations: IBM
- Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
- 数据科学:统计与机器学习: Johns Hopkins University
- 数据科学:使用 R 的基础: Johns Hopkins University
- 数据科学: Johns Hopkins University
- 数据科学高级统计学: Johns Hopkins University
- 数据科学基础: University of California, Irvine
- Advanced Machine Learning, Big Data, and Deep Learning: Packt
- Google Advanced Data Analytics: Google
- Advanced Data Techniques for Enterprise AI Systems: Fractal Analytics