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
您将获得的技能: Rmarkdown, Box Plots, Plot (Graphics), Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Data Manipulation, Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Data Visualization Software, Data Analysis, R Programming, Python Programming
University of London
您将获得的技能: Data Literacy, Unsupervised Learning, Data Science, Applied Machine Learning, Data Analysis, Machine Learning, Big Data
Coursera
您将获得的技能: 自动化, 探索性数据分析, 数据展示, 项目文件, 数据可视化, 功能工程, 技术交流, 数据分析, 技术文档, 数据管道, 项目管理, 商业智能, 云计算开发, AWS SageMaker, 仪表板, Model Evaluation, 数据整合, 云基础设施, 解决方案交付, 模型评估, Amazon Web Services
您将获得的技能: Apache Spark, MLOps (Machine Learning Operations), Large Language Modeling, Keras (Neural Network Library)
Alberta Machine Intelligence Institute
您将获得的技能: 人工智能, 案例研究, 机器学习算法, 监督学习, 机器学习, 无监督学习, 应用机器学习, 产品生命周期管理, 数据收集, 数据预处理, 数据伦理, 数据质量, 业务分析, 业务要求
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
Johns Hopkins University
您将获得的技能: 统计分析, 数据科学, 概率分布, 线性代数, R 程序设计, 回归分析, 统计推理, 数学建模, 应用数学, 统计建模, 概率与统计
Johns Hopkins University
您将获得的技能: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Data Manipulation, Classification Algorithms
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
您将获得的技能: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning
Johns Hopkins University
您将获得的技能: 统计分析, 数据建模, 衍生产品, 数据科学, 普通数学, R 程序设计, 线性代数, 回归分析, 数学建模, 统计建模, 统计资料, 应用数学
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
总之，以下是 10 最受欢迎的 applied data science 课程
- Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
- The Data Science Profession – Student View: University of London
- 构建真实世界的 Data Science 解决方案: Coursera
- Data Analytics and Machine Learning for Big Data: Microsoft
- 应用机器学习入门: Alberta Machine Intelligence Institute
- Data Science Fundamentals Part 2: Unit 2: Pearson
- 数据科学高级线性模型 2：统计线性模型: Johns Hopkins University
- Applied Machine Learning: Techniques and Applications: Johns Hopkins University
- Data Science Fundamentals Part 1: Unit 1: Pearson
- Data Science Fundamentals Part 2: Unit 3: Pearson
