Python 课程可以帮助您学习编程基础、数据分析、网络开发和自动化技术。您可以掌握编写 Cleaning 代码、调试以及使用 Pandas 和 NumPy 等库进行数据处理的技能。许多课程还介绍了用于网络应用的 Flask 和 Django 等框架,以及用于交互式编码和可视化的 Jupyter Notebook 等工具。这些技能和工具对于解决数据科学、软件开发和人工智能方面的项目至关重要。

Wesleyan University
您将获得的技能: Python 程序设计, 数据操作, 探索性数据分析, 制图, 数据展示, 数据扫盲, 描述性统计, 同行评审, 数据管理, SAS(软件), 研究报告, 统计, 数据分析
混合 · 课程 · 1-3 个月

University of California San Diego
您将获得的技能: Python 程序设计, 分子生物学, 生物学, 分类算法, 生命科学, 统计分析, Algorithm, 无监督学习, 马尔可夫模型, 数据预处理, 微生物学, 网络分析, 应用机器学习, 生物技术, 数据挖掘, 生物化学, 生物信息学, 传染病, 数据分析, 降维
初级 · 专项课程 · 3-6 个月

您将获得的技能: Design Thinking, Usability, User Interface (UI) Design, UI Components, Interactive Design, Application Design, Python Programming, Application Development, Event-Driven Programming
混合 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 概率与统计, 统计建模, 探索性数据分析, 概率分布, A/B 测试, 数据科学, 贝叶斯统计, 统计可视化, 统计假设检验, 描述性统计, 统计推理, 统计机器学习, 统计分析, 概率, 抽样(统计)
中级 · 课程 · 1-4 周

您将获得的技能: Matplotlib, Data Storytelling, Data Presentation, Scientific Visualization, Visualization (Computer Graphics), Plot (Graphics), Data Visualization, Data Preprocessing, Statistical Visualization, Box Plots, E-Commerce, Business Analytics, Data Visualization Software, Scatter Plots, Histogram, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Image Quality, Python Programming
初级 · 专项课程 · 1-3 个月

您将获得的技能: Sampling (Statistics), Descriptive Statistics, Statistical Hypothesis Testing, Data Analysis, Probability Distribution, Statistics, Data Science, Statistical Analysis, A/B Testing, Statistical Methods, Probability, Statistical Inference, Statistical Programming, Python Programming, Technical Communication
高级设置 · 课程 · 1-3 个月

您将获得的技能: Exploratory Data Analysis, Pandas (Python Package), Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Cleansing, Descriptive Statistics, Python Programming
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Matplotlib, NumPy, Data Visualization, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Preprocessing, Data Science, Regression Analysis, Data Structures, Logistic Regression
中级 · 课程 · 1-3 个月

多位教师
您将获得的技能: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)
中级 · 专项课程 · 1-3 个月

Duke University
您将获得的技能: Program Development, Debugging, Python Programming, Computer Programming, Computational Logic, Game Design, Interactive Design, Design and Product, Algorithms, Computer Science
初级 · 课程 · 1-4 周

您将获得的技能: Exploratory Data Analysis, Scatter Plots, Data Analysis, Correlation Analysis, Box Plots, Pandas (Python Package), Data Visualization, Histogram, Statistical Analysis, Python Programming, Software Installation
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Seaborn, Data Literacy, Plot (Graphics), Matplotlib, Scatter Plots, Statistical Visualization, Data Presentation, Data Visualization Software, Data Visualization, Box Plots, Exploratory Data Analysis, Data Storytelling, Data Processing, Data-Driven Decision-Making, Statistical Modeling, Statistical Analysis, Descriptive Statistics, Pandas (Python Package), NumPy, Python Programming
初级 · 专项课程 · 1-3 个月