应用数据科学课程
应用数据科学课程可以帮助您学习数据分析、统计建模、机器学习和数据可视化技术。您可以掌握数据 Cleaning、探索性数据分析和预测性解析方面的技能，从而从复杂的数据集中获得洞察力。许多课程都会介绍 Python、R 和 SQL 等工具，以及 Pandas 和 Scikit-learn 等库，支持在实际应用中实施数据驱动的解决方案和自动化流程。
热门应用 Data Science 课程和认证
状态：免费试用Johns Hopkins University
您将获得的技能: 数学建模, 统计分析, 数据建模, 线性代数, R 程序设计, 应用数学, 统计建模, 统计资料, 回归分析, 衍生产品, 普通数学, 数据科学
状态：免费试用您将获得的技能: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics
状态：免费试用University of Pennsylvania
您将获得的技能: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Data Visualization, Data Visualization Software, Matplotlib, Data Storage, Pandas (Python Package), Big Data, Data Science, Data Management, Data Manipulation, Data Cleansing, NumPy
状态：新状态：免费试用您将获得的技能: Excel Macros, Data Validation, Scatter Plots, Pivot Tables And Charts, Microsoft Excel, Data Visualization, Regression Analysis, Excel Formulas, Histogram, Data Analysis, Data Integrity, Descriptive Statistics, Data Visualization Software, Spreadsheet Software, Analytics, Statistical Analysis, Data Analysis Expressions (DAX), Statistical Methods, Descriptive Analytics, Automation
状态：免费试用University at Buffalo
您将获得的技能: 流程改进, 卓越运营, 数据驱动决策, 六西格玛方法, 数据扫盲, 案例研究, 数据质量, 精益方法, 根源分析, 物联网, 数据分析, 质量管理系统, 产品质量（QA/QC）, 运行效率, 数据伦理, 数据安全, 分析
状态：免费试用您将获得的技能: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Preprocessing, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation
状态：预览University of Leeds
您将获得的技能: Exploratory Data Analysis, Data Cleansing, Statistical Methods, Statistical Modeling, Data Visualization, Statistics, R (Software), Data Analysis, Descriptive Statistics, Data Preprocessing, Box Plots, Data Visualization Software, Histogram, Probability, Probability Distribution
状态：免费试用您将获得的技能: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases
状态：免费试用您将获得的技能: PySpark, Customer Analysis, Big Data, Data Processing, Advanced Analytics, Statistical Modeling, Text Mining, Customer Insights, Risk Modeling, Data Transformation, Unstructured Data, Simulation and Simulation Software, Data Manipulation, Image Analysis
状态：免费试用Coursera
您将获得的技能: 数据可视化, 数据整合, 模型评估, 云计算开发, 功能工程, 项目管理, 数据展示, 探索性数据分析, Amazon Web Services, AWS SageMaker, 技术交流, 商业智能, 云基础设施, 数据分析, 仪表板, 自动化, 解决方案交付, 数据管道, Model Evaluation, 技术文档, 项目文件
状态：免费试用您将获得的技能: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Data Visualization, Statistical Analysis, Statistical Methods, Data Science, Data Analysis, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Probability, Model Evaluation, Correlation Analysis
状态：预览Ball State University
您将获得的技能: Data Ethics, Data Collection, Probability & Statistics, Statistics, Sampling (Statistics), Data Science, R Programming, Statistical Methods, Data Structures, Data Analysis, Data Capture, Information Privacy, Tidyverse (R Package), Data Quality, Informed Consent, Social Impact, Ethical Standards And Conduct, Data Validation, Algorithms, Big Data
总之，以下是 10 最受欢迎的 applied data science 课程
- 数据科学高级线性模型 1：最小二乘法: Johns Hopkins University
- Data Science Fundamentals Part 2: Unit 2: Pearson
- Intro to Data Analytics, SQL, and EDA Using Python: University of Pennsylvania
- Advanced Excel Analytics, Automation & Data Analysis: EDUCBA
- 应用分析和决策数据: University at Buffalo
- Data Science Fundamentals Part 1: Unit 1: Pearson
- Exploratory Data Analysis: University of Leeds
- Data Science Fundamentals Part 1: Unit 2: Pearson
- PySpark: Apply & Analyze Advanced Data Processing: EDUCBA
- 构建真实世界的 Data Science 解决方案: Coursera
