Python 数据科学课程可以帮助您学习数据操作、统计分析、数据可视化和机器学习基础知识。您可以掌握处理数据 Set、执行探索性数据分析和开发预测模型的技能。许多课程都会介绍用于数据操作的 Pandas、用于可视化的 Matplotlib 和 Seaborn 以及用于机器学习的 Scikit-learn 等工具,让您能够在实际项目和真实世界的数据挑战中应用自己的技能。

您将获得的技能: Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Histogram, Data Visualization, Statistical Analysis, Integrated Development Environments, Computer Networking, Python Programming, Server Side
初级 · 专项课程 · 3-6 个月

University of Michigan
您将获得的技能: Python 程序设计, JSON, 交互式数据可视化, 数据可视化软件, 数据分析, 数据结构, 还原式 API, 网络服务, 数据清理, Network Protocol(网络协议, 编程原则, 数据处理, 网页抓取, SQL, 计算机编程, 关系数据库, 数据库设计, 数据库, 可扩展标记语言(XML), 数据可视化
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初级 · 专项课程 · 3-6 个月

您将获得的技能: 统计方法, 概率与统计, 描述性统计, 数据分析, Pandas(Python 软件包), 统计假设检验, 回归分析, 科学可视化, 统计分析, 概率分布, 统计, Matplotlib, 概率, 数据科学, 相关性分析, 探索性数据分析, Jupyter, 数据可视化
混合 · 课程 · 1-3 个月

IBM
您将获得的技能: Python 程序设计, 模型评估, 决策树学习, Scikit-learn (机器学习库), 无监督学习, 回归分析, 监督学习, 降维, 应用机器学习, 预测建模, 逻辑回归, 功能工程, 分类算法, 机器学习
中级 · 课程 · 1-3 个月

University of Michigan
您将获得的技能: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, Machine Learning Methods, Data Science, Supervised Learning, Generative AI, Machine Learning, Anomaly Detection, Data Preprocessing, Data Analysis, Recurrent Neural Networks (RNNs), Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Jupyter, Classification Algorithms
高级设置 · 专项课程 · 3-6 个月

DeepLearning.AI
您将获得的技能: Pandas (Python Package), Data Visualization, Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Exploratory Data Analysis, Descriptive Statistics, NumPy, Data Manipulation, Programming Principles, Python Programming, Regression Analysis
初级 · 课程 · 1-3 个月

您将获得的技能: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Exploratory Data Analysis, Data Manipulation, Computer Programming
初级 · 指导项目 · 不超过 2 小时

University of Pennsylvania
您将获得的技能: Python 程序设计, 数据可视化软件, 散点图, 数据操作, Pandas(Python 软件包), 数据分析, 数据导入/导出, 数据结构, 数据预处理, 透视表和图表, Jupyter, Matplotlib, NumPy, 探索性数据分析, 数据清理, 数据科学, 编程原则, 柱状图, 数据可视化
初级 · 课程 · 1-4 周

您将获得的技能: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Logistic Regression, Statistical Hypothesis Testing, Model Evaluation, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
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高级设置 · 专业证书 · 3-6 个月

您将获得的技能: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, AWS SageMaker, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Deep Learning, A/B Testing, Transfer Learning, Python Programming, Machine Learning, Data Analysis, AWS CloudFormation, AI Personalization
中级 · 专项课程 · 3-6 个月

Simplilearn
您将获得的技能: Matplotlib, NumPy, Data Visualization, Python Programming, Pandas (Python Package), Data Analysis, Data Visualization Software, Scripting, Analytics, Data Manipulation, Real Time Data, Data Processing, Programming Principles, Data Transformation, Data Cleansing, Data Validation
初级 · 课程 · 1-4 周

Coursera
您将获得的技能: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Data Visualization, Probability & Statistics, Business Analytics, Data Transformation, Statistics, Data Visualization Software, Descriptive Statistics, Data Cleansing, Data Preprocessing, Time Series Analysis and Forecasting, Correlation Analysis, Python Programming
初级 · 课程 · 1-4 周